Oportunidades interdisciplinarias internacionales

New York University

Postdoctoral associate – translational neuroscience of drug addiction

Description: There is an opening for a postdoctoral associate interested in the neuroeconomics of drug addiction within the Glimcher Lab at NYU to start as early as August 2018. The postdoctoral associate will join an interdisciplinary team focuses on understanding how opiate addiction and human decision-making inter-relate. The Glimcher lab is a well-funded pioneering interdisciplinary group composed of psychologists, neuroscientists, economists and psychiatrists. It employs techniques ranging from hospital measures of human decision-making to fMRI to single unit studies. The successful candidate will have strong computational skills as well as experience in the study of addiction. In addition to developing his or her own research program, the candidate will participate in a recently funded NIH clinical research study examining risk and protective factors for substance use in individuals seeking treatment for opioid addiction that borrows methods from neuroeconomics, clinical neuroscience, and computational psychiatry. The successful candidate will have an opportunity to work with large, longitudinal, multi-modal (clinical, physiological, behavioral, and imaging) datasets as well as develop their own research questions within this conceptual and experimental framework. This research will be supervised by Dr. Paul Glimcher PhD (NYU), Dr. Anna Konova PhD (Rutgers), and Dr. John Rotrosen MD (NYU).

 Qualifications: PhD, MD or MD/PhD in psychology, neuroscience or a related field is required. Previous experience working with patient populations, functional neuroimaging, and/or computational modeling is desired but not required. The ideal candidate will be enthusiastic, curious, and will have excellent organizational and interpersonal skills.

Contact: Please upload a brief letter of interest describing your current experience, skills, and how your future goals align with this position, along with an up-to-date CV and contact information for three references directly at http://apply.interfolio. com/50556. For informal inquiries, please contact Paul Glimcher <pg3 “at” nyu.edu> or Anna Konova or <abk288 “at” nyu.edu>.

Anna Konova, PhD
Center for Neural Science
New York University
Phone: 212-998-7659
37 PhD positions on ICT at University of Trento
We are glad to announce that 37 PhD positions, of which 33 are covered by scholarships, are available within the ICT International Doctoral School of the University of Trento, Italy. Positions are on the following cutting-edge research areas:
Computer Vision
Machine Learning
Natural Language Processing
Speech and Dialogue
Embedded Systems
Systems and Networks
Wireless Networking
Data Analytics and Management
Formal Methods
Knowledge Management
Social informatics
Software Engineering
Cyber Security
Distributed Sensing
Multimedia analysis
Remote Sensing and Radar
Signal processing
The deadline for application is May 31, 2018, 04.00 PM (Italian time, +2GMT).
The ICT International Doctoral School of the University of Trento (http://ict.unitn.it/) is dedicated to promoting excellence in the world of Information and Communication Technology and aims to educate new professionals with skills and attitudes for the future. The ICT School is part of the Department of Information Engineering and Computer Science – DISI (http://disi.unitn.it) which provides a dynamic and qualified response to the ever-increasing, leading-edge competency demands in the field of ICT.
Detailed instructions and further details on the PhD Call are available here:  https://www.disi.unitn. it/phd-program/application
Prof. Paolo Giorgini
Information Engineering and Computer Science Department (DISI) –  University of Trento 
Via Sommarive, 9  I-38050 Povo (Trento) –  Italy
Phone:  +39-0461-282052 — Fax: +39-0461-282093
Email: paolo.giorgini@unitn.it
Web:   http://www.disi.unitn.it/~ pgiorgio
Skype: paolo.giorgini
Research assistantship & PhD option

The Group of Psychiatric Neuroscience at the University of Bari Aldo Moro will publish a call for a 1-year long Research Assistant position, renewable up to 4 years, in the field of Brain Imaging (MRI & MEG). Expressions of interest are welcome before June 30th. Candidates who are in the process of writing up their master thesis are encouraged to apply. The expected starting date is September 2017. Research Assistants interested in pursuing a PhD at our department will have the opportunity to enroll in the Doctoral School in November, following positive evaluation.

The Group of Psychiatric Neuroscience is led by Prof. Alessandro Bertolino and Prof. Giuseppe Blasi and investigates the association of genetic variability with systems-level phenotypes, including structural and functional Magnetic Resonance Imaging, Diffusion Tensor Imaging, Arterial Spin Labeling, and Magnetoencephalography. The Research Assistant will work in the lab of Brain Imaging, Networks, and Data mining (BIND) directed by Dr. Giulio Pergola, with the aim to investigate the biological basis of major psychiatric disorders by integrating multimodal data (genetic variation, gene expression, structural and functional MRI, and neuropsychology). The Research Assistant will contribute to neuroimaging data acquisition and analysis for projects funded both at local and European level (for examples of ongoing work in the lab, see [1], [2], [3]).

The ideal candidate is a young graduate interested in neuroimaging, with a Master’s Degree in Neuroscience, Psychology, Medicine, Biotechnology, Applied Physics, or related fields. Knowledge of statistics and skills regarding the integration of imaging and machine learning are a plus. We expect the successful candidate to be motivated and research-oriented. It is equally important to have a team-working attitude and a motivation to fit in the group. Knowledge of Italian is not required, as the lab already hosts two international PhD students and research meetings are held in English.

Bari is a sunny city located by the sea in the east of southern Italy, and the third greatest city south of Rome. The cost of living is comparatively low relative to Italian standards. The net monthly salary of the Research Assistant will be > 1400 EUR.

Please contact me sending a CV if you would like to have more information on the position and on the ongoing projects (giulio.pergola@uniba.it).

2 post-doc and 2 PhD positions in Lausanne-Geneva, Switzerland

Two Postdoctoral (2 years) and two Doctoral Fellowships (3 years) are available at a consortium between the Institute of Social and Preventive Medicine – CHUV, Gerontology Center, UniGe and LREN, Department of Clinical Neurosciences, CHUV in Geneva and Lausanne, Switzerland, supported by a generous grant from the Leenaards Foundation. The positions will be suitable for highly talented and motivated candidates with interests in interdisciplinary research on the impact of social adversity on brain health.

THE POSITIONS

The goal of our project is to understand the impact of social adversity on brain health through the entire lifespan. To this end, we have collected data from ≈ 1500 healthy participants from 40 to 90 years old, consisting of socio-economic data, neuropsychological examinations, brain magnetic-resonance imaging and a range of other variables of assumed importance for brain health, such as cardio-vascular risk factors, inflammatory biomarkers etc. The participants are followed longitudinally, up to 15 years with a second MRI, 5 years after first acquisition in due course of the current project.
The candidates will participate in data processing, statistical analyses and publish results based on this cohort. This is a unique opportunity to produce high impact research for a skilled researcher at the begin of her/his career. The candidates will collaborate closely with other senior and junior researchers working on the same cohort to identify and test specific hypotheses.

The Postdoctoral positions require the following qualifications:
1. Computational scientist (supervised by BD at LREN-DNC, CHUV) – should be a holder of a PhD awarded in the areas of imaging neuroscience, computational science, statistics or similar. The candidate should be a power-user of Matlab, statistical analysis packages, shell scripting and have experience with UNIX platforms. This position will open from September 2018.
2. Biostatistician (supervised by SS at the IUMSP/CHUV) – should be a holder of a PhD awarded in the areas of mathematics, statistics, computational science, or similar. This position will open from September 2019.

The Doctoral positions require the following qualifications:
1. Psychologist / Neuroscientist (supervised by MK at UniGE) – should be a holder of an MSc awarded in the in the areas of psychology or cognitive neuroscience. The candidate should have good understanding of experimental psychology and cognitive aging, ideally but not necessarily with some background in neuroimaging. This position will open from September 2018.
2. Neuroscientist (supervised by BD at LREN-DNC, CHUV) – should be a holder of a MsC awarded in the areas of imaging neuroscience, computational science, statistics or similar. Knowledge in Matlab and basic univariate/multi-variate statistics are desired. This position will open from September 2018.

The main purpose of the fellowships is to qualify researchers for work in higher academic positions within their disciplines.
Please send a letter of motivation, CV and at least 3 references from previous/current supervisors until June 1st 2018.

For more information, please contact:
Silvia Stringhini – silvia.stringhini@chuv.ch; http://www.iumsp.ch/en/stringhini- silvia
Matthias Kliegel – matthias.kliegel@unige.ch; http://www.unige.ch/fapse/aging/fr/ members/kliegel
Bogdan Draganski – bogdan.draganski@chuv.ch; http://www.unil.ch/lren

Postdoc or PhD Position in Decision Neuroscience

Reference: ERIM PhD RSM 2018 MKT CN

Abstract
At the Erasmus Center for Neuroeconomics we are offering a PhD or Postdoc position. We seek outstanding applicants whose research interests lie at the intersection of psychology, economics, marketing and neuroscience and who are interested in studying the brain mechanisms that underlie judgement and decision-making. Particular interests of our group are the neural underpinnings of persuasive messaging, social influences on choice, dishonesty, emotion regulation and self-control, and the role of neurotransmitters and hormones in such decisions.
For the current project, we are especially looking for applicants who have experience with innovative fMRI methods, most notably multi-voxel pattern analysis (MVPA), or multivariate approaches to EEG data analyses, and who would be interested in applying these techniques to study (real-world) choice behaviour. Candidates with a less technical focus and a more general interest in how neuroscience can inform decision-making are also invited to apply.

Topic
We seek to understand and predict choice from neural activity in response to for example money, products, and persuasive messages. In particular, we focus on linking neural measures obtained from individuals to real market-level choice data. In general, however, candidates have a large say in the precise focus of their project.

Approach
The preferred methodology is fMRI, in particular applying innovative techniques such as multi-voxel pattern analysis (MVPA) and representational similarity analysis (RSA), as well as neural reliability (inter-subject correlations in neural activity). Experience with and interest in applying these advanced techniques is a definite plus. In addition to fMRI, we use EEG, facial coding, eye-tracking and behavioural measures in our research. Experience with at least one of these methods is required.

Cooperation
The PhD student/Postdoc will be a member of The Erasmus Center for Neuroeconomics (ECN), which is hosted by the Marketing Department of the Rotterdam School of Management, Erasmus University. This position will be jointly supervised by Prof. Ale Smidts and Dr. Maarten Boksem.
The Erasmus Center for Neuroeconomics is dedicated to conducting cutting-edge interdisciplinary research in decision neuroscience, and hosts the Erasmus Behavioural Lab which provides an excellent infrastructure for conducting behavioural, EEG/ERP, eye-tracking, facial coding and hormone-administration experiments. In addition, the Center has access to multiple MRI scanners located the Erasmus Medical Center. The Department of Marketing is home of leading researchers in consumer behaviour and judgment and decision making, and experts in marketing modelling, computer science and econometrics. Opportunities exist for funding a research stay abroad at an excellent institute in the third year of the PhD.

Required Profile
Successful candidates must have a relevant Masters degree (and PhD degree for the postdoc position), either with a background in cognitive neuroscience/cognitive psychology/biological psychology, with a definite interest of applying their knowledge to the field of decision-making, or with a background in behavioural economics/econometrics/ psychology, with a definitive interest in using neuroscience methods.
Candidates with a background in statistics or computer science, with a definitive interest in decision-making and neuroscience are also strongly invited to apply.
The Postdoc position is for a period of 3 years, the PhD position for a period of 4 years but can be extended to 5 years if budget allows.

How to Apply
Interested PhD candidates can apply through the ERIM website (https://tinyurl.com/y9xtx2n4) .
Interested Postdoc candidates can apply by sending their CV, motivation letter and names of three references to Annette Bartels (abartels@rsm.nl).
For more information about these positions, please contact Ale Smidts (asmidts@rsm.nl) or Maarten Boksem (mboksem@rsm.nl).

2 Postdoc positions at Language in Interaction consortium

Big Question 4
Scientific summary

We aim to characterise variation in language processing and learning skills and to determine how these variations relate to those in the underlying biology of individual participants. The project has two strands: Strand A focuses on language processing skills in young adults, and Strand B on language learning skills in children and adults.

Strand A will develop a comprehensive battery of language tasks targeting sound, meaning, and grammatical processing of words and longer utterances during speaking and listening. In addition, tasks will be selected or developed assessing general cognitive skills that are likely to affect performance in language tasks. The battery will be normed on a demographically representative sample of 1000 young adults (aged 18-30 years). Strand B uses variability in learning ability to investigate why second-language acquisition can become harder in adulthood. It will consist of two sub-projects, one on grammar learning and one on word learning. In each sub-project, a large number of child, adolescent and adult Dutch participants (aged 8-30 years) will be tested using behavioural and neuroimaging techniques.

Two four-year full-time positions are currently open. The preferred starting date for both positions is September 1st 2018.

Position specific information
Please find descriptions of the available positions below.

Interested?
Information on the application procedure or Apply directly

Postdoc Position 1
Determining neurobiological underpinnings of linguistic skills
Content Description
This postdoc will manage the sub-project on the neurobiology of language processing within Strand A. In this subproject we use structural MRI, resting state and task-based fMRI and Diffusion Weighted Imaging to determine the individual arrangements of the language connectome. Neuroimaging data will be acquired from about a third of the sample recruited for norming of the test battery (i.e. ~360 people). The task of the postdoctoral fellow will be to develop appropriate test paradigms, pilot them, organize the assessment of the main sample, and take the lead in the data analyses and reporting.

Requirements
Candidates should have a PhD degree (or equivalent) in the neurobiology of language or a closely related field of study. They should be familiar, ideally, with running and analysing MRI data (including DTI data), with carrying out psycholinguistic experiments, and with research on individual differences. They should also have excellent organizational and communicative skills, and programming abilities and they should have knowledge and experience in current data analysis techniques. They should have demonstrable interest in language processing and in the cognitive neuroscience of language.

Applications from excellent candidates with a less than ideal profile will also be considered. Women and members of minority groups are especially encouraged to apply.

Embedding and Terms of employment
This position will be held at the Donders Institute, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands.

Employment: 1.0 FTE;
in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus;
a maximum gross monthly salary of €4,757 based on a 38-hour working week (salary scale 11);
you will be appointed for an initial period of 18 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 30 months.
the Collective Labour Agreement (CAO) of Dutch Universities is applicable to this position;
you will be classified as a Researcher, Level 3 in the Dutch university job-ranking system (UFO);
Further information about Postdoc Position 1
Please contact: Prof. dr. Peter Hagoort or Prof. dr. Antje Meyer

Postdoc Position 2
Individual differences in word learning
Content Description
This postdoc will manage the sub-project within Strand B on word learning. In this sub-project, a large number of child, adolescent, and adult (age 8-30 years) Dutch participants will be tested using behavioural and neuroimaging techniques. Behavioural tasks will include a battery of cognitive tests, the battery of language tasks generated by Strand A, measures of English and Dutch proficiency, and critically, a training task on learning new words. Neuroimaging will include functional MRI, and Diffusion Tensor Imaging (DTI). The goal is to characterize variability in word learning abilities by linking performance on the training task to the other behavioural data and to the functional and structural neural measures. Why do some individuals find it easier to learn language, and why do aspects of language learning change with age?

Requirements
Candidates should have a PhD degree (or equivalent) in the cognitive neuroscience of language learning, memory, or a closely related field of study. They should be familiar, ideally, with running and analyzing MRI data (including DTI data), with carrying out psycholinguistic experiments, with research on individual differences, and with testing children, although the actual data acquisition will be performed primarily by research assistants. They should also have excellent organizational and communicative skills and programming abilities and they should have knowledge and experience in current data analysis techniques. They should have demonstrable interest in language acquisition (prior work on word learning would be especially welcome) and in the cognitive neuroscience of language and/or memory. They should ideally be a proficient speaker of Dutch.

Applications from excellent candidates with a less than ideal profile will also be considered. Women and members of minority groups are especially encouraged to apply.

Embedding and Terms of employment
This position will be held at the Donders Institute, Centre for Medical Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands.

Employment: 1.0 FTE;
a maximum gross monthly salary of €4,917 based on a 36-hour working week (salary scale 11);
in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus;
you will be appointed for an initial period of 18 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 30 months;
the Collective Labour Agreement (CAO) of Dutch University Medical Centres is applicable to this position.
Further information about Postdoc Position 2
Please contact: Prof. dr. Guillén Fernández or Prof. dr. James McQueen

 Postdoc position

A postdoc position is available at the Chinese University of Hong Kong, Shenzhen, to work with Dr. Fan Cao and another professor from overseas in language development and disorders.

Requirements:
1. PhD in Psychology or other related areas
2. familiar with fMRI and/or other neuroimaging techniques
3. familiar with Matlab, Spss, Eprime
4. research interests in language learning, development and disorders

Position details:
1, 1-3 years full time post-doc position
2. payment around US$47000 per year with medical insurance covered
3. half time working with Dr. Fan Cao and half time working with another faculty from an overseas university

Please send a CV and research statement to Dr. Fan Cao at caofan@cuhk.edu.cn

Thanks,

Fan Cao

Postdoctoral Associate position in Decision Neuroscience

Postdoctoral Associate

Job description:

The Decision Neuroscience & Cognitive Engineering Lab (PI: Dongil Chung; http://dnce.unist.ac.kr) and the Computational Clinical Science Lab (PI: Woo-Young Ahn; http://ccs-lab.github.io) are recruiting a postdoctoral associate in decision neuroscience with emphasis on functional neuroimaging and computational modeling. An ideal postdoctoral associate will be interested in studying human value-based and/or social decision-making using neuroimaging, computational modeling, Bayesian modeling, and/or machine learning. A successful candidate will have the opportunity to work on several projects. Specific research topics and training opportunities can be individually tailored. The labs will offer internationally competitive training and research opportunities.

The postdoctoral position is for two years. Further extensions are possible, contingent on performance and availability of funds. Workplace can be either at Seoul National University (SNU) or Ulsan National Institute of Science and Technology (UNIST), based on the applicant’s preference. The position is available immediately, but later start dates are possible, as late as January 2019.

Salary will be commensurate with qualifications and experience, but it will be highly competitive (approx. NIH level). The postdoctoral associate will enjoy (1) abundant opportunities for active international collaborations, (2) support for international conferences, and (3) cutting-edge computing resources.

Requirements:

· A PhD in cognitive or computational neuroscience, engineering, psychology, experimental economics, or a related field

· Facility with signal processing or computational/quantitative methods

· Strong programming background (e.g., MATLAB, R, Python)

· Demonstration of potential for excellence (e.g., publishing or submitting journal papers)

· A strong background in computational modeling and/or the designing and analysis of fMRI experiments highly desired

How to apply:

To apply, please forward a statement of interest, CV, representative re- or pre-prints, and a list of (at least two) references. Consideration of applications will begin immediately and will end when the position is filled. Send inquiries and applications to Drs. Dongil Chung (dchung@unist.ac.kr) and Woo-Young Ahn (wahn55@snu.ac.kr).

 

Dongil Chung, Ph.D.
Assistant Professor
Department of Human Factors Engineering
UNIST
50 UNIST-gil, Ulsan, South Korea
office: +82 (52) 217-2744
dchung@unist.ac.kr

PhD Positions in Neuroimaging and Neuroscience, Beijing, China
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PhD Positions in Neuroimaging and Neuroscience, Beijing, China

Brainnetome Center

Brainnetome Center at Institute of Automation of the Chinese Academy of Sciences (CASIA) is one part of CAS Center for Excellence in Brain Science and Intelligence Technology. Researchers at the Brainnetome Center work on a wide topics in neuroimaging and brainnetome, such as, neuroimaging, brain networks, new neurotechnique development, simulating and modelling, and their applications in neurological and psychiatric diseases, to discover the molecular, cellular, and brain network mechanisms that underlie the ability of the brain to function.
Neuroscience is entering an era of accelerated discovery driven by the application of new molecular, genetic and imaging technologies, which will provide a deeper understanding of the regulation and function of the nervous system. Significant advances in determining the molecular regulation of nerve cell function and development will have a major impact on our understanding of more complex areas such as behaviour, cognition, ageing, neurological disease and mental illness. The researchers of Brainnetome Center is to promote excellence in neuroscience by fostering the exchange of ideas, establishing new collaborations and augmenting partnerships that already exist within the wider Chinese neuroscience and information technology communities.

The role

Convergent evidence has shown that most psychiatric disorders are associated with faulty brain networks. In order to understand how the brain works and the pathophysiological mechanism of psychiatric disorders, it is necessary to integrate the multi-level network features obtained with various functional and anatomical brain imaging technologies on different scales. We have proposed a new concept of “Brainnetome” (www.brainnetome.org) to represent such integration framework. Our Center here closely collaborates with researchers in Australia and France to study basic theory, methodologies, algorithms and platform of the Brainnetome at multiple scales, and their applications in neurological and psychiatric diseases. It envisions that Brainnetome will become an emerging co-frontier of brain imaging, information technology, neurology and psychiatry. Some long-standing issues in neuropsychiatry may be solved by combining Brainnetome with genome.
Several PhD positions are available at Brainnetome Center of CASIA to utilise neuroimaging technologies to discover mechanisms of brain networks. These positions will be supported by CAS-TWAS President’s Fellowship Programme for PhD Candidates (Call for 2018 CAS-TWAS President’s Fellowship Programme for Doctoral Candidates – University of Chinese Academy of Sciences). They involve developing neuroimage analysis methods and tools and applying them to neuroscience and clinical problems.  In this role the students will develop skills in developing computational algorithms and computer programming in neuroimage analysis that could be utilised in both basic research and clinical areas.

The person

Applicants should meet the requirements of “CAS-TWAS President’s Fellowship Programme for PhD Candidates” and have MSc degree in one of the following fields: mathematics, physics, neuroimaging, computer science, electronic engineering, neurobiology, psychology, cognitive neuroscience, psychiatry, and neurology. Outstanding C/C++ programming skills in Linux are highly desired.

Enquiries

Please first read the Application Guide for your eligibility and apply through the online system, and then contact Professor Tianzi Jiang at jiangtz@nlpr.ia.ac.cn .

PhD position in Bern (Switzerland): Real-time fMRI-based Neurofeedback in elderly individuals
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A 3-year PhD position is available at the Department of Old Age Psychiatry and Psychotherapy at the University of Bern in Switzerland (Head: Prof. Dr. Stefan Klöppel).

 

The successful candidate will be enrolled in a research project focusing on fMRI-based neurofeedback to regulate hippocampal activity in elderly individuals with and without memory problems. Salary will be according to the Swiss National Science Foundation (SNF) guidelines for PhD students.

 

Highly motivated candidates with a MSc in Psychology, Computer Science, Neuroscience or a related discipline are encouraged to apply. A background in MRI acquisition and/or image processing (preferably fMRI) will be mandatory. Good programming skills and proficiency in German are advantageous. Experience in fMRI-based neurofeedback is not required. The position is available immediately and applications will be considered until the position is filled.

 

If you are interested in being considered for the position, please send your CV and a brief statement of your research interests via email to jessica.peter@upd.unibe.ch. Questions or informal inquiries can be sent to the same address.

UNIVERSITÄRE PSYCHIATRISCHE DIENSTE BERN (UPD) AG

Department of Old Age Psychiatry and Psychotherapy

Jessica Peter, PhD

Bolligenstrasse 111, 3000 Bern 60
Tel. +41(0)31 932 89 03

Email: jessica.peter@upd.unibe.ch

Three Postdoctoral or PhD positions in Stochastic Signal Processing/Computational Modelling fMRI/EEG
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Three postdoctoral (or graduate) positions are available at the Mind, Brain Imaging & Neuroethics lab. The candidates should have strong background in brain imaging (fMRI, MRS, EEG/MEG, TMS) and preferably strong education in neuroscience/brain imaging, engineering, physics, and/or computational neuroscience for data analyses. The project focuses on resting state and its interaction with task-evoked activity in relation to mental features like self and consciousness in both healthy and psychiatric subjects where neuronal, electrophysiological and biochemical measures will be obtained. A specific focus will be on novel ways of dynamic and non-linear analyses of the brain imaging data in conjunction with computational modeling and signal processing analyses.

Part of the project will be carried out in China at Zhejiang University in Hangzhou/China and, in part, in Ottawa/Canada as the PI has affiliations with both places. Hence, Chinese skills are of advantage but not a prerequisite for application. More information about our work can be found on the website: http://www.georgnorthoff.com
For PhD candidates. Graduation at University of Ottawa (PhD) under the supervision of Dr. G. Northoff is possible. Salary for the postdoctoral candidates depends on qualifications and will be around 35.000 CAD to 70.000 CAD. Outstanding candidates may also qualify for faculty position in China.
Candidates shall contact: Dr. G. Northoff: georg.northoff@theroyal.ca (website: http://www.georgnorthoff.com)

Postdoctoral Position in human functional brain imaging and neural network modeling – Penn State

We are seeking a highly motivated Postdoctoral Scholar in the area of human functional brain imaging and neural network modeling for a 2-year position funded by the Pennsylvania Department for Health and the National Institutes for Health. The successful candidate will work in collaboration with investigators at The Pennsylvania State University including Drs. Frank Hillary and Michael Hallquist in the Department of Psychology, Dr. Peter Molenaar in the Department of Human Development and Family Studies, and Dr. Reka Albert in the Physics Department. The primary responsibility of this position is to facilitate ongoing research examining neural plasticity after severe traumatic brain injury in humans and risk for later life neurodegeneration. There is keen interest for this position to support the development of novel methods for understanding plasticity from a systems neuroscience perspective. This includes prospective data collection as well as analysis of existing data sets. Data analysis would focus on: 1) signal processing (i.e., non-stationarity in time series data); 2) large scale connectivity analysis (e.g., graph theory) and 3) machine learning. A doctorate (M.D. and/or Ph.D.) degree that is conferred (or anticipated in the calendar year) is required. Excellent verbal and written communication skills and a background in computational modeling (broadly defined) is required and programming experience is preferred. Review of applications will begin in May for a tentative Summer 2018 start date. Interested candidates must submit an online application, and are also requested to send a curriculum vita, cover letter, and the names and contact information for three references to Frank Hillary at: fhillary@psu.edu.

Rachel Bernier, M.S.
Pronouns: she/her/hers
Doctoral Candidate
Brain, Behavior, and Neuroplasticity Lab
Department of Psychology
The Pennsylvania State University
419 Bruce V. Moore Building
University Park, PA 16803

Postdoctoral position on neural basis of resting-state network

A postdoctoral position is immediately available at the University of Queensland, Brisbane, Australia. The project focuses on understanding the neural basis of resting-state network plasticity in learning and memory using fMRI in rodent models with chemo-/optogenetics and calcium recording. For details and application, please follow the link below:
http://jobs.uq.edu.au/caw/en/ job/504287/postdoctoral- research-fellow

Please feel free to forward this to anyone interested or relevant mailing lists at your departments/institutes.

Regards,
Kai-Hsiang Chuang

Associate Professor, Queensland Brain Institute, University of Queensland, Brisbane, Australia.

PhD position in Bern (Switzerland): Real-time fMRI-based Neurofeedback in elderly individuals

A 3-year PhD position is available at the Department of Old Age Psychiatry and Psychotherapy at the University of Bern in Switzerland (Head: Prof. Dr. Stefan Klöppel).

The successful candidate will be enrolled in a research project focusing on fMRI-based neurofeedback to regulate hippocampal activity in elderly individuals with and without memory problems. Salary will be according to the Swiss National Science Foundation (SNF) guidelines for PhD students.

Highly motivated candidates with a MSc in Psychology, Computer Science, Neuroscience or a related discipline are encouraged to apply. A background in MRI acquisition and/or image processing (preferably fMRI) will be mandatory. Good programming skills and proficiency in German are advantageous. Experience in fMRI-based neurofeedback is not required. The position is available immediately and applications will be considered until the position is filled.

If you are interested in being considered for the position, please send your CV and a brief statement of your research interests via email to jessica.peter@upd.unibe.ch. Questions or informal inquiries can be sent to the same address.

UNIVERSITÄRE PSYCHIATRISCHE DIENSTE BERN (UPD) AG

Department of Old Age Psychiatry and Psychotherapy

Jessica Peter, PhD

Bolligenstrasse 111, 3000 Bern 60
Tel. +41(0)31 932 89 03

Email: jessica.peter@upd.unibe.ch

 Postdoctoral position at the NIH/NIMH

We are seeking enthusiastic applicants for a Post-Doctoral Fellowship position to help with the collection and analysis of large brain-imaging datasets. The successful candidate will use state-of-the-art artificial intelligence methods, with the aim of better understanding psychiatric disorders in young people with mental illness, particularly anxiety and depression. Our goal is to understand better the causes and mechanisms of certain psychiatric disorders, improve their definition and classification, and ensure the best treatment can be offered to psychiatric patients.

The successful candidate will develop and apply deep learning algorithms
to multi-modal imaging datasets that include MRI (functional,
structural), EEG, MEG, and associated behavioral and clinical data. The
methods developed by the successful candidate will be used to:

– Integrate these diverse sources of information.
– Inform the construction computational models in psychiatry.
– Test the validity of such models.

Candidates with a strong computational background (e.g. PhD in
Engineering, Physics, Computer Science, Mathematics, Statistics,
Computational Neuroscience, and related areas) who are interested in
brain development and psychopathology, are particularly encouraged to
apply. Requirements for this position include:

– Strong machine learning experience;
– Programming experience in Python (preferably), or in R/Matlab/Octave;
– Experience with open source machine learning libraries such as
Scikit-learn, Theano, and/or Tensorflow;
– Excellent interpersonal and written (English) communication skills.

Background experience in psychiatry or knowledge of neuroimaging
software are not required. However, the candidate will be expected to
learn some of these topics as part of their role in our research group.

The successful candidate will work jointly with the laboratories of Drs
Daniel Pine and Argyris Stringaris, and together with Dr Anderson
Winkler, Staff Scientist. Please write to Drs Pine (pined@mail.nih.gov),
Stringaris (argyris.stringaris@nih.gov) or Winkler
(anderson.winkler@nih.gov) with your application and CV.

Research assistantship and study opportunity in the Group of Psychiatric Neuroscience, Bari, Italy

The Group of Psychiatric Neuroscience at the University of Bari Aldo Moro will publish a call for a 1-year long Research Assistant position, renewable up to 4 years, in the field of Brain Imaging (MRI & MEG). Expressions of interest are welcome before June 30th. Candidates who are in the process of writing up their master thesis are encouraged to apply. The expected starting date is September 2017. Research Assistants interested in pursuing a PhD at our department will have the opportunity to enroll in the Doctoral School in November, following positive evaluation.
The Group of Psychiatric Neuroscience is led by Prof. Alessandro Bertolino and Prof. Giuseppe Blasi and investigates the association of genetic variability with systems-level phenotypes, including structural and functional Magnetic Resonance Imaging, Diffusion Tensor Imaging, Arterial Spin Labeling, and Magnetoencephalography. The Research Assistant will work in the lab of Brain Imaging, Networks, and Data mining (BIND) directed by Dr. Giulio Pergola, with the aim to investigate the biological basis of major psychiatric disorders by integrating multimodal data (genetic variation, gene expression, structural and functional MRI, and neuropsychology). The Research Assistant will contribute to neuroimaging data acquisition and analysis for projects funded both at local and European level (for examples of ongoing work in the lab, see [1], [2], [3]).

The ideal candidate is a young graduate interested in neuroimaging, with a Master’s Degree in Neuroscience, Psychology, Medicine, Biotechnology, Applied Physics, or related fields. Knowledge of statistics and skills regarding the integration of imaging and machine learning are a plus. We expect the successful candidate to be motivated and research-oriented. It is equally important to have a team-working attitude and a motivation to fit in the group. Knowledge of Italian is not required, as the lab already hosts two international PhD students and research meetings are held in English.

Bari is a sunny city located by the sea in the east of southern Italy, and the third greatest city south of Rome. The cost of living is comparatively low relative to Italian standards. The net monthly salary of the Research Assistant will be > 1400 EUR. Opportunities for master and PhD students interested in exchange programs are also available at https://studyinitaly. esteri.it/en/call-for- procedure

Please contact me sending a CV if you would like to have more information on the lab and on the ongoing projects (giulio.pergola@uniba.it).

Postdoctoral Fellowship in the Child Development Lab (University of Maryland; Nathan A. Fox, Ph.D.)

The Child Development Laboratory (CDL) led by Dr. Nathan A. Fox is looking for a post-doc to work on developmental cognitive neuroscience research leveraging fNIRS and high-density EEG.

The focus of the CDL is on the development of typical and atypical cognitive and socio-emotional processing, with an emphasis on understanding neural systems supporting the human mirroring system, attention and cognitive control. The lab maintains close collaborations with researchers at the neighboring National Institute of Child Health and Human Development (NICHD) with Amir H. Gandjbakhche, Ph.D., Chief, Section on Analytical and Functional Biophotonics and Daniel Pine, MD, Chief Section on Developmental Affective Neuroscience, NIMH.

Candidates with a strong background in EEG and/or fNIRS will be most suited for the job. Prior programming experience (e.g. Matlab or Python) is a requirement. Psychologists, cognitive neuroscientists and other candidates are particularly encouraged to apply. Prior experience with developmental populations is not a requirement, but an interest in pursuing developmental research is expected.

Start date is flexible. Interested candidates should submit a CV, research statement, preprints/reprints of papers, and the names and contact information for two references. Please email these materials to: Nathan Fox, fox@umd.edu and George Buzzell gbuzzell@umd.edu

Postodoctoral position at Cardiff University on predictive coding in machine vision

Research Associate
School of Computer Science & Informatics & School of Psychology, Cardiff
University
Grade 6: £32,548 – £38,833 p.a
Application closing date: May 6th 2018
Applications are invited for an Engineering and Physical Sciences
Research Council (EPSRC) funded Research Associate post in the Schools
of Computer Science & Informatics and Psychology at Cardiff University.
This is a full-time post for 2 years, starting on 1st April 2018.

The successful candidate will undertake world-class research in the
field of Computer Vision and Computational Neuroscience.  The planned
research draws on ideas from the disciplines of psychology, biology and
neuroscience, and focuses on predictive coding in a real world system.

Therefore the candidate should have a willingness and curiosity to
explore novel and creative inter-disciplinary solutions.  You will work
within the Human Factors Technology Centre and work closely with
Professor David Marshall (Computer Science) and Professor Simon Rushton
(Psychology), and Dr Rosalyn Moran, (IOPPN, KCL). You will possess or
expect to receive a PhD in Computer Science, Computational Neuroscience
or a related area.

The project aims to build a computer vision system based on principles
of predictive coding drawn from research in psychology and neuroscience.
The project is a feasibility study, whereby we will build a
demonstrator predictive vision system, evaluate its strengths and
weaknesses, and explore potential application areas and broader use.
During the project you will co-develop the software infrastructure,
integrate hardware components and be provided with an introduction to
complementary areas of neuroscience.

Cardiff University has a successful School of Computer Science &
Informatics with an international reputation for its teaching and
research activities. The School delivers a stimulating portfolio of BSc
and MSc degrees and offers research degrees leading to MPhil and PhD
qualifications. For more information on the School please visit our
website:  http://www.cardiff.ac.uk/ computer-science.

The School of Psychology is recognised internationally for sustained
excellence in research, impact and research-led teaching. In the last
Research Excellence Framework we entered as a unit of over 80 staff with
our colleagues in Psychological medicine. We were placed 2nd in our
topic area across the UK. We have state of the art laboratories and
experimental expertise across the range of psychology, and have just
built one of the largest and best equipped imaging centres in Europe
(see http://psych.cf.ac.uk and http://sites.cardiff.ac.uk/ cubric).

Cardiff University is at the heart of a thriving and growing capital
city. Bursting with culture, cuisine, architecture, entertainment and
history, Cardiff was ranked the third best capital city in Europe in
2015 alongside Copenhagen and Stockholm.

Cardiff University is rated in the top tier of Britain’s research
universities and is a member of the prestigious Russell Group. It has
been ranked second nationally for research impact, and in the top five
for research excellence in the UK.

Cardiff University has been awarded seven Queen’s Anniversary Prizes
(which recognise world-class excellence in UK Higher Education) and are
home to a huge cohort of distinguished staff, including two Nobel Prize
winners and 13 Royal Society Fellows.

Our campus sits within the city centre in the beautiful civic centre.
With wide tree-lined avenues and elegant Portland stone buildings, it’s
an inspiring place to work and study.

The city centre stretches from the ancient fort of Cardiff Castle to the
ultramodern Cardiff Bay waterfront. Explore boutique shops in the
winding Victorian and Edwardian arcades or find your high street
favourite in the impressive St David’s Centre.

One of Cardiff’s fastest growing industries is TV and film. The BBC has
built a large drama studio in Cardiff Bay which is home to a number of
shows including ‘Dr Who’, ‘Sherlock’ and ‘Casualty’.

The unique architecture of the University campuses make it a prime
filming location. Our buildings are regularly featured in scenes of
‘Doctor Who’ and ‘Sherlock’ – Dr. Who’s office was ‘located’ in our main
college building and in one episode of Dr Who a lecture theatre
represented the interior of the White House – and our exterior has been
used to masquerade as a number of other institutions and universities.

Many national cultural and sporting institutions are based in Cardiff,
including the National Museum of Wales and the Principality Stadium.
Cardiff Castle sits in the centre of the city, bordered on one side by
beautiful parkland and on the other by excellent shops, restaurants and
nightlife.

For an informal discussion of the role please contact Prof. David
Marshall by email at MarshallAD@cardiff.ac.uk or Simon Ruston
RushtonSK@cardiff.ac.uk
or Dr. Rosalyn Moran rosalyn.moran@kcl.ac.uk

For an informal discussion about flexible working and work-life balance
please contact Pamela Munn by email at MunnPA@cardiff.ac.uk

For further job details and how to apply see:
https://krb-sjobs.brassring. com/TGnewUI/Search/Home/ HomeWithPreLoad?partnerid= 30011&siteid=5460&PageType= searchResults&SearchType= linkquery#jobDetails=1142829_ 5460

NIH-funded postdoc position & research assistant position in the O-Lab at Duke University

We are looking for highly motivated early-career scientists to join the O-Lab (http://people.duke. edu/~jto10), led by Prof. Tobias Overath, in the Department of Psychology and Neuroscience at Duke University. Work in our lab investigates how sounds, from simple sinusoids to complex speech signals, are processed in the human brain, using a combination of behavioral (psychoacoustics) and neuroimaging methods (fMRI, EEG, ECoG) to track the underlying neural processes. Current projects investigate the transformation from acoustic to linguistic analysis of temporal speech structure, online measures of statistical learning, and optimization of cochlear implant coding strategies.

Postdoc applicants should have recently completed a graduate degree in auditory neuroscience (broadly construed) or a related field, ideally using neuroimaging techniques (fMRI, M/EEG, ECoG). Strong computational skills are essential (Matlab, Python), as are good interpersonal skills and the ability to work in a research team. Interested candidates should have established a track record of publications from their graduate studies and demonstrated the motivation to pursue a successful career in science and academia.

Applicants for the Research assistant / Lab manager position should have received an undergraduate degree in psychology, neuroscience, biomedical engineering, or a related field by Summer 2018. A strong interest in how the brain processes sound is a plus, as is excellent knowledge of at least one programing language (preferably Matlab). Familiarity with fMRI, EEG, and/or a related experimental technique would also be beneficial.
The main emphasis of this position will be on being involved with, and taking the lead on research projects, thereby gaining valuable experience in preparation for future graduate school applications. Bureaucratic aspects of the position (such as scheduling and reimbursement of participants, help with IRB reviews, etc.) are projected to be comparatively limited.

Duke University provides a vibrant, highly connected scientific environment, with many relevant departments and interdisciplinary initiatives (e.g. Departments of Neurobiology, Biomedical Engineering, Electrical and Computer Engineering; Center for Cognitive Neuroscience, Duke Institute for Brain Sciences, Brain Imaging Analysis Center). In addition, the Research Triangle area (Durham, Chapel Hill, Raleigh) boasts a wealth of research initiatives.

Prospective start date is August/September 2018. Applications will be reviewed until the end of April, or until the position is filled. Interested candidates should contact Tobias Overath via email: t.overath@duke.edu

Fully funded PhD scholarship in traumatic brain injury, rehabilitation, and MRI

A PhD scholarship is available for students with a background in physics, neuroscience, engineering to join the School of Health & Rehabilitation Sciences and the Queensland Brain Institute at the University of Queensland. . The successful candidates will be enrolled in a higher degree (PhD) by research at the University of Queensland and carry out a research project focused on memory in traumatic brain injury. Prospective memory, or memory for intentions, is a common problem for people with severe traumatic brain injury. Compensatory strategy training combined with a metacognitive approach to rehabilitation may assist in reducing failures of prospective memory in everyday life. This project aims to evaluate whether a 6-week prospective memory rehabilitation programme is associated with functional and structural changes in the brain using a mulit-modality imaging approach. It will involve studying a prospective memory task suitable for use within a MRI scanner, testing the task with non-injured controls, and evaluating pre-post intervention effects using functional MRI.

Applicants will need to enrol full time into the phD program. A background in human MRI, image processing and programming will be highly desirable.

Permanent staff position: MRI data managing and processing, Marseille, France

A full time permanent position for a high-level technical staff member (“ingénieur de recherche”) is available at Aix-Marseille Université in the south of France, in order to work at the recently established Timone Neuroscience Institute (INT, http://www.int.univ-amu.fr/? lang=en) in Marseille. A background (preferably a PhD) in computer science, electrical engineering or applied mathematics, with experience in image processing and neuroimaging, are required to apply to the nation-wide competitive exam which will allow selecting the ideal candidate.

In short, the duties include setting up software solutions for durable data preservation and management, as well as working with the research teams at INT on project involving image processing of MRI data.

All the details can be found in the official announcement (which is in French, although being fluent in French is not required to apply):
https://drh.univ-amu.fr/sites/ drh.univ-amu.fr/files/igr_ext_ -_e_-_expert_en_calcul_sctfq. pdf

 

Sylvain Takerkart

 
Institut des Neurosciences de la Timone (INT)
UMR 7289 CNRS-AMU
Marseille, France

tél: +33 (0)4 91 324 007

PhD Scholarship in High-Resolution NeuroImaging

Queensland Brain Institute
University of Queensland

There is UQ PhD scholarship available to support a studentship in the area of high-resolution fMRI. The successful student will work with Professor Ross Cunnington and Researcher Fellow Dr. Alexander Puckett as part of an Australian Research Council (ARC) Discovery Early Career Researcher Award (DECRA) project entitled “Cortical-layer-specific functional imaging of the human brain.”
More on the scholarship can be found here:
http://jobs.uq.edu.au/caw/en/ job/504116/phd-scholarship-in- highresolution-neuroimaging
Those interested can apply here:
https://scholarships.uq.edu. au/scholarship/uq-phd- scholarships-support-category- 1-project-grants
The closing date for receipt of applications is 15 April, 2018.
For further information, please contact:
Dr. Alexander Puckett
Queensland Brain Institute
University of Queensland
Australia

Email: a.puckett@uq.edu.au

Call for Expressions of Interest in the Marie Sklodowksa – Curie Individual Fellowships has been published:

https://www.unitn.it/ateneo/68 640/cimec-call-for-expressions -of-interest-marie-sklodowksa- curie-individual-fellowships .
The Center for Mind/Brain Sciences – CIMeC at the University of Trento (Italy) welcomes expressions of interest from excellent postdoctoral researchers to apply, jointly with a research supervisor from CIMeC, to the European Commission Marie Skłodowska- Curie Individual Fellowship. The Marie Skłodowska Curie Action is a funding scheme that supports researchers mobility: Individual Fellowships – European Fellowships may last 12-24 months involving a research project, advanced training and knowledge exchange at the host institution (CIMeC).
It offers a competitive salary, mobility and family allowances plus a budget for research and training costs; applicants are expected to have an excellent CV and a strong publication record. Selected candidates will be offered both academic and administrative support from CIMeC faculty and the University of Trento Research Office with regards to the proposal development.
Luca

Luca Turella, PhD
Assistant Professor
CIMeC – Center for Mind/Brain Sciences
University of Trento
Mattarello (TN), Via Delle Regole 101
Tel.+39 0461-28 3098
http://www.unitn.it/cimec
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PhD and Postdoc positions @ Campus Bio-Medico University, Rome, Italy

In the context of the European Research Council Grant “RESHAPE: REstoring the Self with embodiable HAnd ProsthesEs” and related National grants, we are seeking outstanding Post-Doc scientists and highly-motivated PhD students to join us in developing new tools and methods to improve the embodiment of robotic hand prostheses and supernumerary limbs, and to study the related brain processes.
Activities will be carried out in a multidisciplinary research environment (NEXTlab: Neurophysiology and Neuroengineering of Human-Technology Interaction) @ Campus Bio-Medico University, Rome Italy (http://www.unicampus.it/next) .
Post-Doc ideal candidates should
· have relevant publications in international journals and experience in fund raising
· be English mother tongue or have almost comparable fluency
· have experience in the following topics:
1. Programming for development/customization of interactive Virtual/Augmented Reality environment
2. EEG/MRI signal processing
3. Body ownership, embodiment, cognitive neuroscience.
PhD Student ideal candidates should
· be English mother tongue or have good fluency
· have a master degree (or equivalent) in
o biomedical robotics, biomedical engineering, computer science, signal processing, or other related fields
o medicine, neuroscience, neurophysiology, neuropsychology or other related fields
Suitable candidates can introduce themselves by contacting Giovanni Di Pino (g.dipino@unicampus.it), Domenico Formica (d.formica@unicampus.i t) and Luca Vollero (l.vollero@unicampus.it).

Postdoctoral Position in MRI and PET of traumatic brain injury patients and their progression

The functional Neuroimaging lab at the University of Queensland Australia is seeking to recruit a postdoctoral candidate to work in the field of Traumatic Brain Injury and the link with Alzheimer’s disease. The role will involve image processing of functional MRI data, Diffusion Tensor Imaging data, Cerebral Blood Flow data, and resting state functional connectivity MRI data. Any additional expertise in Quantitative Susceptibility Mapping and machine learning algorithms will be a puls. Prior experience with preclinical rodent imaging is a plus but not a must. This work will provide a translational platform from bench to bedside where work will be investigated at both the clinical and preclinical sides. The successful applicant will have prior experience with Magnetic Resonance Imaging (MRI) experiments and preferably Positron Emission Tomography. If interested, please email f.nasrallah@uq.edu.au. for a full description of the position, please go to http://jobs.uq.edu.au/caw/en/ job/501558/postdoctoral- research-fellowresearch-fellow

3-year postdoc at UoB, decoding mental states based on fMRI/EEG patterns
Hi SPM users

We would like to bring this exciting postdoctoral position to the attention of potential applicants.

Mindreading mindreading: Using multivariate pattern analysis to decode the neural basis of mental state ascription. The full time postdoctoral research fellow will work on this ESRC-funded project in the School of Psychology at the University of Birmingham, with Professor Ian Apperly and Dr Maria Wimber. The project will use advanced neuroimaging methods to test whether “social brain areas” that are active when we think about the minds of others actually encode information about what other people are thinking, or whether they control attention to information encoded elsewhere. Please address informal enquiries jointly to Ian Apperly and Maria Wimber.

Online advert and application forms

Centre for Human Brain Health

Ian Apperly

Maria Wimber

PhD Position in Nutrition Neuroscience Hamburg
We are still seeking outstanding applicants whose research interests lie at the intersection of metabolism, psychology and neuroscience and who are interested in studying brain mechanisms underlying homeostatic and hedonic aspects of ingestive behavior. Particular interests of our group are the neural underpinnings of pleasure and motivation systems during food-related decision making, emotion regulation and self-control, and the role of hormones (e.g. central insulin) in such decisions. A special focus is placed on the modifiability of these systems (e.g. by dietary intervention) and age-related changes. Preferred methodology is fMRI and DTI, in particular applying innovative techniques such as representational similarity analysis (RSA), dynamic causal modeling (DCM) and probabilistic tractography. Experience with these techniques is a definite plus, programming skills (e.g. Matlab) are mandatory. Strong interests in the field of neuroimaging and aging research are valuable.

The Department of Systems Neuroscience (head: Prof. Christian Büchel) provides an excellent multi-disciplinary and highly interactive neuroimaging environment with its own physics, psychology and clinical neuroscience groups as well as a research dedicated 3T MR scanner (PRISMA), EEG- and eye-tracking laboratory. The institute hosts an international graduate school that offers a comprehensive program covering all areas of neuroscience and provides PhD students with an excellent research environment.

Candidates should submit a CV and brief statement of research interest by e-mail to Dr. Stefanie Brassen (sbrassen@uke.de). For more information please visit our website goo.gl/PKCVBg.
Applications will be considered until the position is filled.

POST-DOCTORAL FELLOWSHIP IN NEUROIMAGING
THOMAS JEFFERSON UNIVERSITY/ SIDNEY KIMMEL MEDICAL COLLEGE,
PHILA., PA.
The Department of Neurology at Thomas Jefferson University/Jefferson Medical College has an opening for a Two-Year Postdoctoral Research Fellowship in Neuroimaging focusing on both clinical brain mapping and primary cognitive neuroscience investigations. The emphasis in our neuroimaging program is on cognitive and behavioral network organization and plasticity in neurologic disorders such as epilepsy. The lab focuses on the use of advanced network neuroscience measures to understand seizure networks and cognitive reorganization in epilepsy, and has had recent publications in Brian, Neurology, and Epilepsia, with some also prompting complimentary peer reviews. The lab is part of the Jefferson Comprehensive Epilepsy Center, an internationally-known epilepsy surgery program. Presurgical brain mapping studies are undertaken (MRI volumetrics, task-fMRI, resting state functional connectivity, diffusion imaging, neuropsychological assessment, electrophysiology/ electrocortical stimulation) as well as post-surgical neuroimaging studies investigating clinical, cognitive, and behavioral outcomes. The pre-surgical brain mapping studies are conducted on a regular basis, utilized in image-guided surgery, and then made available for research. Studies in brain recovery and the cognitive reorganization of language and memory functions are emphasized, utilizing rich multi-modal datasets for the investigation of both cognitive and pathologic (e.g., seizure) networks. Thomas Jefferson University provides a high-level interdisciplinary research environment with grand rounds, seminars, case conferences, and opportunities to collaborate with faculty across departments such as neurosurgery and radiology. Successful applicants must have a strong background in image processing and analysis using programs such as MATLAB, SPM, Freesurfer, and FSL with a strong interest in clinical neuroimaging and cognitive neuroscience. Applicants must have a Ph.D. or MD in neuroscience, biomedical engineering, statistics, neurology, neuropsychology, radiology, or related field. Interested applicants should send a CV and cover letter stating experience and interests, 2-3 peer-reviewed publications. Anticipated start date is 7/1/18, but is flexible. Contact: Joseph I. Tracy, Ph.D., ABPP(CN). Director, Cognitive Neuroscience and Brain Mapping Laboratory, Thomas Jefferson Univ./Sidney Kimmel Medical Coll., Jefferson Hospital for Neuroscience, 901 Walnut Street, Suite #447, Phila., PA 19107, phone:#215-955-4661, e-mail: joseph.tracy@jefferson.edu.
Thomas Jefferson University and Hospitals is an Equal Opportunity Employer. Jefferson values diversity and encourages applications from women, members of minority groups, LGBTQ individuals, disabled individuals, and veterans.

 

Cleaning of fNIRS data from artefacts and extraction of physiological components such as heartbeat and respiration

We have an open ESR position from a Marie Curie grant starting in September this year. The goal of the project is cleaning of fNIRS data from artefacts and extraction of physiological components such as heartbeat and respiration. We encourage of course publication of the algorithm and implementation of these algorithms in e.g. FieldTrip or other open source toolboxes to facilitate multimodal data analyses. The ESR will work in strong collaboration with the Donders Institute (Sabine Hunnius, Robert Oostenveld), but also with external universities in the EU and other companies (eye-tracking and motion-tracking). The ESR will be located at our company in the Netherlands. For more information, please see http://www.artinis.com/early- stage-researcher-esr-doctoral- student-1

If you have any questions regarding this position, please let me know.

With best regards,

Jörn


Jörn M. Horschig, PhD
Software Engineer & Project Leader NeuroGuard XS

The Dementia Imaging Genetics (DIG) lab at the University of California
The Dementia Imaging Genetics (DIG) lab at the University of California, San Francisco (UCSF) has a postdoctoral position in neuroimaging research of neurodegenerative diseases. The fellow will work closely with the PI, Dr. Suzee Lee, to develop novel imaging approaches to neurodegenerative diseases, including frontotemporal dementia, primary progressive aphasia, corticobasal syndrome, and amyotrophic lateral sclerosis. The UCSF Memory and Aging Center is the largest cognitive and behavioral neurology center in the United States, and has extensively recruited research participants for two decades. Neuroimaging research will integrate our rich, multidisciplinary datasets to study the clinical, anatomical, and neuropathological correlates of disease.

 

The ideal candidate will have expertise in neuroimaging and interests in applying neuroimaging techniques (such as fMRI/DTI) to clinical populations. The postdoctoral fellow will contribute to ongoing experiments and pursue self-directed projects within the lab’s area of investigation.

 

The DIG Lab at UCSF studies brain networks in patients with genetic neurodegenerative disorders and their presymptomatic family members by developing and applying novel multimodal functional and structural neuroimaging methods, including task-free fMRI and DTI.  Research recruitment is supported by an extensive network of collaborative research projects at the UCSF Memory and Aging center, and large datasets of archived functional and structural MRI data are available for analysis.  The DIG Lab is highly integrated with several other neuroimaging labs at UCSF (Seeley, Gorno Tempini labs for example), which provides a rich scientific and collaborative community. We are looking for creative, motivated, fun people to help improve the lives of our patients and families.

 

Appropriate areas of doctoral training include, but are not limited to, neuroscience, psychology, or computer science. Strong computational skills are preferred.
 
Please direct inquiries to Dr. Lee by sending a cover letter, CV, and at least 3 references to suzee.lee@ucsf.edu

GIGA Doctoral School.
Do you have a Master degree in Biology, Medicine, Natural sciences, Engineering, Mathematics or Psychology? Do you want to do a PhD? Are you passionate about biomedical research?
In this case you might consider applying for a PhD position at GIGA Doctoral School.

A PhD scholarship is available for students with a background in physics, neuroscience, engineering to join the School of Health & Rehabilitation Sciences and the Queensland Brain Institute at the University of Queensland. . The successful candidates will be enrolled in a higher degree (PhD) by research at the University of Queensland and carry out a research project focused on memory in traumatic brain injury. Prospective memory, or memory for intentions, is a common problem for people with severe traumatic brain injury. Compensatory strategy training combined with a metacognitive approach to rehabilitation may assist in reducing failures of prospective memory in everyday life. This project aims to evaluate whether a 6-week prospective memory rehabilitation programme is associated with functional and structural changes in the brain using a mulit-modality imaging approach. It will involve studying a prospective memory task suitable for use within a MRI scanner, testing the task with non-injured controls, and evaluating pre-post intervention effects using functional MRI.
Applicants will need to enrol full time into the phD program. A background in human MRI, image processing and programming will be highly desirable.
For more information, you can email f.nasrallah@uq.edu.au

A postdoctoral postion is available at the Queensland Brain Institute at the University of Queensland.
The role
The successful appointee will develop image processing pipelines to analyse magnetic resonance imaging data. The work will focus on data analysis of functional MRI data, Diffusion Tensor Imaging data, Cerebral Blood Flow data, and resting state functional connectivity MRI data. This work will provide a translational platform from bench to bedside where work will be investigated at both the clinical and preclinical sides.
The person
Applicants must have a PhD or close to completion in the discipline of neuroscience or closely related field. Experience with Magnetic Resonance Imaging such as functional MRI, structural Diffusion Imaging which should be reflected as data based publications is required. In addition, the appointee must demonstrate data analysis skills with a strong background in programming and provide evidence of their contribution to research including successful external grant applications.
The University of Queensland values diversity and inclusion and actively encourages applications from those who bring diversity to the University. Please refer to the University’s Diversity and Inclusion webpage (http://www.uq.edu.au/equity) for further information and points of contact if you require additional support.
This role is a full-time position; however flexible working arrangements may be negotiated.
Remuneration
This is a full-time, fixed term appointment (available immediately) at Academic Research level A or B (Level of appointment will be commensurate with qualifications, experience and academic achievements). The remuneration package will be in the range $64,533.50 – $109,419.20 p.a., plus employer superannuation contributions of up to 17% (total package will be in the range $75,504 – $128,020 p.a.).

Position Description
Download File 501558_3035702_Postdoctoral Research Fellow_2018.pdf

Enquiries
To discuss this role please contact Dr Fatima Nasrallah on +61 7 344 33004 phone or f.nasrallah@uq.edu.au .

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