PhD position at the Research Center Jülich
Single-subject prediction of motor performance in health and disease
We are happy to announce a fully funded PhD position in machine learning for
neuroimaging at the Institute of Neuroscience and Medicine (INM-7, https://www.fz-juelich.de/inm/inm-7/EN) with Prof. Dr. Simon Eickhoff.
This position is part of the recently awarded Collaborative Research Center “SFB 1451: Key mechanisms of motor control in health and disease” together with the University of Cologne, offering excellent teaching and career development options.
We are looking for a doctoral researcher interested in the development and application of novel machine-learning approaches to large neuroimaging datasets in order to better understand inter-individual differences in motor behavior in healthy subjects, changes thereof over the lifespan and their impairment in patients with neurological disorders such as stroke and Parkinson’s disease.
What we offer:
· 3-year PhD position in an interdisciplinary, and international research environment
· Salary up to 100% E13 (TvöD) depending on qualifications
· Excellent research environment and computing infrastructure
· Strong dedication to supervision, teaching and personal support
· Ample opportunities and support for collaboration and networking
· High degree of flexibility including remote work
Requirements:
· Master's or equivalent degree
· Substantial programming expertise (Matlab or Python) is a must
· Previous experience with neuroimaging data handling is highly desired
· Strong writing, communication, interpersonal and organisational skills
Applications should be submitted via email and include a curriculum vitae (including a list of publications, if any), a letter of motivation, and contact details for two references.
Please submit your application or informal inquiries via email to Prof. Simon Eickhoff: s.eickhoff@fz-juelich.de