Simula Research Laboratory AS
Position Description
We are pleased to announce a new Postdoctoral Research Fellowship in the Department of Numerical Analysis and Scientific Computing at Simula Research Laboratory (Simula) for a highly-motivated and self-driven PhD student with strong intellectual curiosity and interest in the mathematical foundations of artificial intelligence. The position is part of the National Norwegian Center for Sustainable, Risk-averse and Ethical AI (SURE-AI), funded by the Research Council of Norway (RCN) (2025-2030), coordinated by Simula.
Simula is a leading Norwegian research institute known for its excellence in cutting-edge ICT with a strong track record of top evaluations, active international collaborations, and success in significant funding initiatives, including European and National RCN grants. Simula is committed to supporting talent through a variety of PhD and postdoctoral programs and provides valuable research infrastructure, such as the national HPC facility, eX3.
Job Description
We are looking for a postdoctoral candidate who will be part of an interdisciplinary research environment. At Simula, the candidate will work in the research team led by Thomas M. Surowiec, which will include a PhD student working on similar topics and two international adjunct professors. A strong background in mathematics is essential.
The successful candidate is expected to carry out research on one or more of the following general focus areas:
- Adaptivity and algorithmic fine-tuning techniques.
- Large-scale numerical optimization algorithms for risk-averse training.
- Quantitative stability and distributional robustness of stochastic programs.
- Asymptotic behavior of predictive energy landscapes in dynamic environments.
Desired Skill Sets and Competencies criteria
We will consider candidates who have completed (or will have completed by June 2026) a doctoral degree (PhD or equivalent) in Mathematics, Applied Mathematics, Computational Science, or Physics. The successful candidate will have a solid theoretical foundation in one or more of the topics: Optimization, Real & Functional Analysis, Probability Theory or Numerical Analysis. More specifically, we are looking for candidates with competency in at least one of the following areas and a willingness to learn the others:
- Stochastic Algorithms & Adaptivity
- Risk-Averse Optimization and Distributionally Robust Optimization
- Quantitative Stability Analysis for Stochastic Programs
- Variational Analysis
- Proficiency in a high-level programming language (e.g., Python, Julia, C++).
We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://www.simula.no/careers/job-openings/postdoctoral-position-in-foundations-of-mathematical-optimization-for-artificial-intelligence-sure-ai
- Contact: Thomas Surowiec
- Email:
- Postal Mail:
- Kristian Augusts gate 23
0164 Oslo
Norway
- Kristian Augusts gate 23
- Web Page: simula.no