The Brain Mapping Unit at the University of Cambridge will soon advertise a Postdoctoral Research Associate Position in Network Neuroscience. Network Neuroscience is a rapidly growing field that uses network science to study brain function. The position will involve analysis of functional magnetic resonance imaging (MRI) brain networks in health, and in psychiatric/neurological disorders such as autism and Huntington’s disease. There will be opportunities to work on exciting research ideas and to collaborate with world-leading neuroscientists.
The post holder will be supervised by Dr Mikail Rubinov and Prof Ed Bullmore, and will engage with other neuroscientists in Cambridge (Prof John Suckling, Dr Mike Spencer and Dr Tiago Simas) and internationally (Prof Stephen Rao, Cleveland Clinic). The position is funded by NARSAD, Isaac Newton Trust and NIH grants and will be based at the Behavioural and Clinical Neuroscience Institute, a leading interdisciplinary and translational neuroscience research centre in Cambridge.
The successful applicant will have a strong background in network science or statistical physics, good programming skills (preferably in MATLAB, C or Python), and an interest in neuroscience and the brain. Experience with mixture modelling, stochastic blockmodelling or machine learning is a bonus. Good communication and organizational skills are desirable.
Limit of tenure: 24 months.
Please send your CV and/or direct all informal enquiries to Mika Rubinov, email@example.com
The SFB 936 Research Center focusses on structural and functional coupling in brain networks at multiple levels, ranging from single-cell recordings to large-scale interactions across brain regions. The projects address network interactions underlying cognitive functions in the normal brain, changes during development and learning, as well as altered network functions in brain disorders. The SFB involves groups from the University Medical Center Hamburg-Eppendorf and the Universities of Hamburg, Lübeck and Osnabrück. Further details are available on the website http://www.sfb936.net/.
The position is available for two years and may start immediately. The position is remunerated at salary level E13 TV-KAH, 100%. Applicants should send their CV and publication list, a brief statement of research interests as well as the names of three referees to Prof. Claus Hilgetag (firstname.lastname@example.org) or Prof. Peter König (email@example.com). Informal inquiries about the positions can also be made with P. König or C. Hilgetag.