Open Ph.D. Position for 4 Years in Spatial Cognitive Neuroscience, Berlin Mobile Brain/Body Imaging Lab, Germany

02.03.2018
escop

The Ph.D. applicant will be co-supervised by Dr. Klaus Gramann (Biopsychology and Neuroergonomics at TU Berlin, Berlin, Germany) and Dr. Christian Doeller (Kavli Institute for Systems Neuroscience at NTNU, Trondheim, Norway). The applicant will principally be based in Dr. Gramann’s lab in Berlin (http://bemobil.bpn.tu-berlin.de/), which investigates the effects of embodied cognition on brain dynamics, the impact of active movement in space on spatial representations and the underlying neural dynamics, and how insights from mobile brain imaging studies can be translated to designing human-centered technical systems. Dr. Doeller’s lab at the Kavli Institute for Systems Neuroscience (www.doellerlab.com) aims at understanding how the brain and the mind work, seeking fundamental answers in neuroscience, including human navigation, memory, and knowledge acquisition.

The candidate will work in the field of Mobile Brain/Body Imaging (MoBI) of population codes in actively navigating humans. He or she will be working in an interdisciplinary team on population codes in spatial navigation in traditional desktop-based experiments as well as in Mobile Brain/Body Imaging experiments with actively navigating humans. Tasks include planning, implementing, and conducting behavioral and EEG experiments, including motion capture, eye tracking, and virtual reality; programming of experimental protocols using different software packages (MATLAB, Unity) and data collection in healthy participants; dissemination of results in peer-reviewed journals and at international conferences.

We are looking for suitable candidates with interest and knowledge in human electroencephalography (EEG), spatial cognition, as well as very good programming and modeling skills (Matlab, Unity3D). Applicants for this position should have a background in neuroscience, psychology, cognitive sciences, computer science, or a related field. Ideally, the candidate has experience in developing, running, and analyzing EEG experiments, experience with motion capture and biomechanics, profound knowledge in biosignal analyses, and profound knowledge of data-driven analyses approaches (ICA, machine learning etc.). We are looking for a team player with proficiency in verbal and written English.

The position is immediately available and is funded for a period of 4 years. Payment is based on stipend guidelines for the strategic collaboration of TU Berlin and NTNU Trondheim (1,700.00 Euro per month for Berlin-based positions).

The TU Berlin is an equal opportunity employer: Handicapped individuals are strongly encouraged to apply, and so are women in areas in which they are underrepresented. Applications should include a letter of motivation, a curriculum vitae, Master certificates (including a list of classes taken during Bachelor and Master studies), letters of references and a short summary of past research experience. Applications should be submitted in a single PDF document to the email address below.

Please send your electronic application and questions to klaus.gramann@tu-berlin.de