The Novo Nordisk Foundation Center for Biosustainability at Technical University of Denmark (DTU) is inviting applications for a Postdoc in Computational Probabilistic Modelling.
This is an opportunity for a computational statistician with expertise in Bayesian modelling to join an interdisciplinary team working on biological network modelling, computer science and algorithmics, statistical computation and bioinformatics, to solve the fundamental challenge of formulating and fitting very large non-linear models.
As a member of the multi-disciplinary team, you will contribute your expertise to developing statistical computation solutions for large, non-linear problems. In particular, you will enable the team by building the necessary statistical software tools and pipelines.
Examples of the challenges you will address include:
- Working with modellers and software engineers in QMCM to develop an efficient translation of physical model formulation into a computational Bayesian model;
- Independently develop software under the Stan framework necessary to solve the problem, e.g., implicit function solvers.
The incumbent must be able to spend extended periods of time at Aalto University, Finland, to develop Stan programs under the guidance of Associate Professor Aki Vehtari. The incumbent may also need to occasionally visit Columbia University to work with the core team of Stan developers.
Worth of Award
- The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations.
- The allowance will be agreed upon with the relevant union.
- The period of employment is 4 years.
- Postdocs receive a special pensionable supplement of DKK 49,300 per year in line with the March 31, 2012 level.
Candidates should have a PhD degree in computational probabilistic modelling or a similar degree.
- You have expertise in computational probabilistic modelling.
- You have experience developing code for advanced statistical computation platforms, preferably Stan using C++ programming.
- You are at ease working in teams as well as working independently.
How to Apply
Applications must contain all materials to be given consideration. To apply, please open the link “Apply online”, fill in the online application form, and attach all your materials in English. The file must include:
- Application (cover letter)
- Diploma (MSc/PhD)
- List of publications
- If relevant, you may add additional documents to the list above, e.g., a Research Statement.
- Applications and enclosures received after the deadline will not be considered.
- All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.
Deadline: Please submit your online application no later than 28 November 2018 (local time).