PhD positions at the University of Vienna
- Posted by Grant Holder Manager
- On 17 April 2020
- 0 Comments
- jobs, phd positions
Three PhD positions at the University of Vienna in Theoretical Chemistry, Computational Physics, Machine Learning, Numerical Mathematics within the newly created Research Plattform “ViRAPID” – Vienna Research Platform for Accelerating Photoreaction Discovery (https://virapid.univie.ac.at/, @virapid) at the University of Vienna, Austria. The topics of the proposed projects are in the area of theoretical chemistry, computational physics, machine learning and numerical mathematics under the supervision of Leticia González, Christoph Dellago, Ulisse Stefanelli, and Philipp Marquetand. Candidates should have strong interest in statistical mechanics and quantum chemistry to develop efficient sampling methods for electronic excited state dynamics. The duration of employment is 4 years. The contracts will be established according to the collective bargaining agreement of the University of Vienna (30h/week as usual for praedocs). The possibility to write a dissertation in Chemistry, Physics or Mathematics is given. Furthermore, the candidate is expected to do teaching according to the collective treaty.
By the time of joining, you have a MSc degree on Chemistry, Physics, or Mathematics. You have interest in interdisciplinary work, experience with Linux operating systems, and an excellent command of English. Programming knowledge and experience with electronic structure calculations, molecular dynamics, machine learning, and/or high performance computing will be positively valued.
Applications should be sent via the Job Center of the University of Vienna (http://jobcenter.univie.ac.at) no later than 08.05.2020, mentioning reference number 10682.
Direct link: https://univis.univie.ac.at/ausschreibungstellensuche/flow/bew_ausschreibung-flow?_flowExecutionKey=_c2EAB2F74-A201-2FCE-A149-46DB60DADFD3_k7403704B-6F28-D48F-12F9-7B516D67EDAF&tid=78134.28
Your application should include the following documents:
– Letter of motivation including major research interests
– Scientific CV / List of publications
– Evidence of Teaching experience (if available)
The University pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity. Given equal qualifications, preference will be given to female applicants.