Postdoctoral position in scientific computing - Hiring in process/Finished, not possible to apply

This postdoctoral position is part of the StochSS project (www.stochss.org), an international collaboration with the aim to develop efficient software for simulation, exploration and inference of stochastic biochemical pathway models

The Department of Information Technology provides education and research of the highest international quality. The department educates roughly 4,000 students each year, and houses about 30 research teams. The strong research focus impacts and provides an excellent foundation for undergraduate education in the department. The department is building on activities in IT that have been carried on at Uppsala University since the mid 1960s. More info: http://www.it.uu.se/.

At the Division of Scientific Computing, we conduct research in the entire chain of what is needed to perform simulations; to mathematically describe the phenomenon under investigation, to formulate a solution method to the mathematical problem, and finally to construct computer programs that efficiently implement the developed solution method to enable the simulation. http://www.it.uu.se/research/scientific_computing

Research Project: The project is aimed at developing new tools and software for scalable model exploration and inference of gene regulatory networks, by combining techniques from scalable simulation, applied optimization and machine learning, in particular model-based methods. This will be done in close collaboration with the StochSS teams at University of California Santa Barbara, University of North Carolina Ashville and Caltech.

Duties: The position is focused on research in the above described research project but may include a limited amount of teaching and departmental duties, but not more than 20%. The work involves traveling to conferences to present result of papers, as well as shorter extended visits to project partners. 

Appointment period: The position is for two years, with starting date no later than Feb 2019.

Qualifications: For employment as a postdoctoral researcher, the candidate should have obtained a doctorate or equivalent foreign degree in Scientific computing or Computer science, or a for the project relevant area, no more than three years before the end of the application date. If there are special reasons, the doctorate may have completed the degree earlier. Special reasons refers to unemployment due to illness, parental leave, military service, trust in trade unions, etc.

The successful candidate must have documented experience in applied machine learning, model-based optimization and programming, and demonstrated experience of working on collaborative open source software projects. We will pay particular attention to personal qualities such as dedication, motivation, initiative and independence. Fluency in spoken and written English is required, as is demonstrated experience of working collaboratively as part of a team.

Meritorious: Documented experience of parameter inference for stochastic gene regulatory network models. Documented experience with the Python programming language.

How to apply: The application should include a personal statement where the applicant presents a biography including a motivation why he or she is interested in joining our project, relevant qualifications and research interests. The application should also contain a list of credentials (CV), copies of relevant certificates and grades, a list of publications and other relevant documents (for example, a list of reference persons).

Diversity: Uppsala University aims for gender balance and diversity in all activities in order to achieve a higher quality at all levels of the organization. We therefore welcome applicants of any gender and with different birth background, functionality and life experience.

Are you considering moving to Sweden to work at Uppsala University? If so, you will find much information about working and living in Sweden at http://www.uu.se/joinus. You are also welcome to contact the International Faculty and Staff Services at ifss@uadm.uu.se.

For further information about the position, please contact Associate Professor Andreas Hellander, Andreas.Hellander@it. uu.se.

You are welcome to submit your application no later than Dec 17, 2018, UFV-PA 4138.