[FieldTrip] two PhD positions in Cognitive Neuroscience and Neurotechnology

[Tzvetan Popov]

Dear all, 

on behalf of Romy Lorenz (MPI for Biological Cybernetics) here are two PhD positions with a build-in discovery potential :-). If you are looking for a great person, an exceptional supervisor, and an amazing scientist (in that order)- go check it out.

Tzvetan

—PhD Positions--------
The newly established Cognitive Neuroscience & Neurotechnology group led by Dr. Romy Lorenz is looking for two enthusiastic PhD students (m/f/d) to join our growing team at the Max Planck Institute for Biological Cybernetics <https://www.kyb.tuebingen.mpg.de/en> in Tübingen, Germany.

Our lab focuses on advancing our understanding of the frontoparietal brain network mechanisms that underpin high-level cognition and adaptive behaviour. For this, we pursue an interdisciplinary research programme that allows studying this brain system at multiple levels of granularity. Our methodology involves subject-specific brain-computer interface technology, fMRI at 3T and ultrahigh (i.e., 7T and 9.4T) magnetic field strengths (for resolving cortical layers), EEG, non-invasive brain stimulation as well as machine learning. You can find out more about our work at:    https://www.kyb.tuebingen.mpg.de/711763/cognitive-neuroscience-neurotechnology

We are seeking two ambitious PhD students who will work on the exciting field of ultrahigh resolution fMRI that allows to investigate the human cortex at the scale of layers and columns. 

The ideal candidates should have a master’s degree in cognitive (neuro)science, psychology, computer science, biomedical or electrical engineering, physics, or related disciplines. A strong background in fMRI data analysis (e.g., FSL, Freesurfer, ANTS) and very good programming skills in Bash on Linux, Matlab and/or Python are required. Prior experience in MRI data acquisition and experience with ultrahigh resolution fMRI (e.g., at 7T) is desirable but not necessary. Equally, experience with machine learning-methods, code sharing platforms (e.g. GitHub) and high-performance computing clusters are highly desirable.

The Max Planck Institute for Biological Cybernetics offers a world-leading research environment with access to the latest cutting-edge MRI hardware (including a Siemens 9.4T and Prisma 3T for humans as well as a 14.2T small animal system) and other excellent research facilities (EEG, eye-tracking, fMRI-TMS). The PhD student will receive generous support for professional travel and research needs (~2500€/year). Additionally, the student will have the opportunity to become part of the Graduate Training Centre of Neuroscience that provides training courses, summer schools and conferences to further educate doctoral students. Further, the Institute is part of the TübingenNeuroCampus (with more than 100 active groups), offering a vibrant community of international researchers and enriching environment of collaboration.

The positions are available from May 2024 on and remain open until filled. The salary is paid in accordance with the collective agreement for the public sector (65% TVL-E13, amounting to ~2000€ net per month <https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l&g=E_13&s=1&zv=keine&z=65&zulage=&stj=2024&stkl=1&r=0&zkf=0&pvk=0&kk=15.5%25>).

For more details about the two advertised PhD positions and how to apply, please see: https://www.kyb.tuebingen.mpg.de/729399/join-the-lab

-------------------------- 

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.science.ru.nl/pipermail/fieldtrip/attachments/20240322/fc5c39ac/attachment.htm>