The Rudol Virchow Center (RVZ) of the University of Würzburg is offering a 36-month, 65% (full- or part-time) position with a competitive TV-L salary, funded as part of the DFG project “Towards a better understanding of macromolecular X-ray structures”.
This rewarding and challenging research project will allow you to acquire skills in applied structural biology and its theoretical foundations as well as data analysis including programming and machine learning. You will have access to state-of-the-art equipment and our group is well-connected; you will have the opportunity to visit several international collaboration partners. Through the Graduate School for Life Sciences you will have a personal thesis committee to guide you and benefit from their extensive transferable skill program.
Your qualification profile
You should have a M.Sc. or equivalent in a relevant subject or be due to complete your studies within 2 months of applying. The successful candidate will have a good working knowledge of Linux and Python and a basic understanding of crystallography (irrespective of the field, e.g. mineralogy, structural physics, biology or chemistry). Skills in statistical or image analysis, C++ and previous experience with machine learning are a bonus. You should be able to develop your own ideas, and have the necessary skills to successfully drive and complete a research project. You should be a good communicator and a good command of English is a prerequisite. You will be expected to present your work both at in-house and international meetings, and to contribute on occasion to teaching and public outreach.
To apply
Applications should be sent by e-mail as one single pdf-document including: cover letter (stating why you are interested in this position specifically), curriculum vitae (detailing any data analysis, programming and crystallographic qualifications), diplomas/certificates and three addresses of referees by 31 January 2020 to andrea.thorn@uni-wuerzburg.de.
More information about this role can be found on the University Website.
