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Postdoctoral Research Associate: Neural Circuit Responses to TMS

Transcranial magnetic stimulation (TMS) is emerging as a promising, non-invasive therapeutic approach, but what exactly does it do to brain activity? We seek a highly motivated postdoctoral associate to study the effects of TMS on neural circuits. The position is available in Marc Sommer’s laboratory in the Department of Biomedical Engineering at Duke University and is supported by a new BRAIN Initiative R01.

The research program uses a variety of neurophysiological techniques to understand the local and network responses of TMS in non-human primates. The project is highly interdisciplinary and includes opportunities for collaboration across Duke, including with Dr. Warren Grill in Biomedical Engineering and Dr. Angel Peterchev in Psychiatry & Behavioral Sciences. The goal of our team is to integrate neural data with computational modeling to establish the mechanisms of TMS action and optimize its efficacy for therapy.

Applicants should have completed a PhD in neuroscience, biomedical or electrical engineering, or a related field and have experience or a dedicated interest in neurophysiology and research involving non-human primates. This is a full-time position with University benefits and provides excellent opportunities for career development. Duke University is an Affirmative Action/Equal Opportunity Employer.

For consideration, please prepare a description of research experience and goals, a CV that includes publications, and the names and contact information of three professional references and apply through Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/18006


Postdoctoral fellow: State-dependent neuromodulation of human memory networks

We are seeking a postdoctoral fellow to investigate brain state-dependent neuromodulation of memory networks. The successful candidate will combine EEG, TMS, fMRI and behavioral tasks to investigate the contribution of distinct brain states to various forms of memory. This position provides a unique opportunity to combine advanced neuroimaging techniques with cutting-edge brain state-dependent stimulation. The postdoctoral fellow will be jointly supervised by Michael Freedberg and Sara Hussain on the main campus of the University of Texas at Austin. 

Required qualifications:

  • PhD in psychology, movement science, neuroscience, engineering, or related discipline within the last 3 years
  • Experience with human subjects research
  • Experience with Matlab, Python, R, bash, cshell, or similar
  • Previous experience or knowledge of scientific writing (i.e., experience writing manuscripts, grants, etc.)
  • Ability to work well independently and with a group

Preferred qualifications:

  • Previous publication of research during graduate school as first author (2-3 either published or in review)
  • Experience with either fMRI, EEG, and/or TMS

For more information and to apply, please visit: https://utaustin.wd1.myworkdayjobs.com/UTstaff/job/UT-MAIN-CAMPUS/Postdoctoral-Fellow_R_00012624-1 

We also welcome informal inquiries to: [email protected]


We’re looking for participants to share their views on non-invasive brain stimulation (NIBS) techniques.

Researchers at Leeds Trinity University (UK) are interested in using non-invasive brain stimulation (NIBS) techniques to alter brain activity, which may improve measures of behaviour. We are particularly interested in the use of these techniques to alter eating behaviour. However, we are aware that individuals may be apprehensive to undergo these procedures and participate in research using these techniques. The present study aims to understand the perceptions of NIBS, and is open to everyone over the age of 18 who would like to share their views on these techniques in a short (10-15 minute) survey. On completion of the survey, you can enter into a free prize draw to win one of three £50 vouchers!
 
You can find more information and complete the survey at: https://bit.ly/tesperception.
Please contact Jordan Beaumont to find out more ([email protected]).

Looking for an fMRI expert who wants to explore causal neuroscience with interleaved TMS/fMRI in a multi-PI project at the University of Pennsylvania. We have amazing resources, a thriving top tier neuroimaging faculty base and a collaborative friendly lab environment. Must be facile at programming and statistics with a background in psychology, neuropsychiatry, neuroscience and/or machine learning. Bonus points if you know deep learning applications to neuroimaging and/or TMS but not necessary.  Philadelphia is a large US city within an easy train or bus ride to New York City and Washington, D.C.  Penn is one of the best institutions in the country with extensive resources and intellectually stimulating opportunities. If interested, please send your C.V. to me at oathes /at/ pennmedicine /dot/ upenn.edu

Start date is flexible but we are fully funded to hire right away.