We are part of the Statistics and Probability Theory section at the Department of Mathematical Sciences. In Denmark, we are also affiliated with the Pioneer Centre for AI and the ELLIS Unit Copenhagen.
Research team
- Asger Waagepetersen (PhD, since 06/2026)
- Sanket Agrawal (postdoc, since 01/2026)
- Zhihao Wang (PhD, since 10/2024)
Co-authors (early career, pre-faculty)
- Cameron Bell (PhD, Warwick) → postdoc at Paris Dauphine
- Han Chen (PhD, Duke)
- Shiva Darshan (postdoc, ESSEC)
- Tyler Farghly (PhD, Oxford) → postdoc at INRIA Paris
- Sebastiano Grazzi (postdoc, Bocconi)
- Kevin Lam (PhD, Oxford)
- Miaoshiqi Liu (PhD, Toronto) → Morgan Stanley
- Federica Milinanni (PhD, KTH) → postdoc at Brown & Northwestern
- Ardjen Pengel (PhD, Delft) → postdoc at Cambridge → hedge fund in London
- Chris Williams (PhD, Oxford)
Prospective postdoc/PhD
Postdocs at the Department of Mathematical Sciences are usually 2-year positions. The PhD program typically lasts 3 years, but we also offer flexible PhD programs (4+4 and 3+5) which combine MSc and PhD studies.
Denmark has the flattest work hierarchy in the world. PhD students in Denmark are academic employees of the Universities, who have access to health care and many other social benefits, as do their accompanying families. PhD student receives a generous salary, pension, and full vacation rights. Most are placed at A-4 at the beginning of their PhD (see salary scale here). There is no tuition fee for PhD students.
Copenhagen is among the most livable cities in the world, with a rich culture within music, theater, and associations (see here). A publicly supported daycare and health care system, maternity/parental leave, and six weeks of annual vacation make life easy for families. International candidates may find information on living and working in Denmark here. Helpful information is also available at the International Staff Mobility office at the University of Copenhagen, which offers various services to international researchers coming to and working at the University of Copenhagen.
- Department Calls (due April or November)
- DDSA PhD & Postdoc Fellowship
- DARA Fellowship
- Pioneer Centre for AI
- Dansk Statistisk Selskab
- ELLIS PhD & Postdoc Program
MSc/BSc thesis
If you are interested in my recent research, please don’t hesitate to contact me. Students in the MSc in Statistics program with a strong background in measure-theoretic probability are particularly encouraged to reach out.
Relevant courses and online resources:
- NMAK24010U Topics in Statistics
- NDAK21004U Probabilistic Machine Learning
- NDAK22001U Machine Learning B
- NMAK24009U Topics in Probability
- Handbook of MCMC (2nd Ed. 2026)
- Monte Carlo Seminar (YouTube videos)
Students and alumni:
- Shengwei Ding and Wenshuo Dong (2026, MSc at DIKU, co-supervised by Harrison Zhu)
- Tianjie Huang, Rupert McKay, Georg Meinhardt, Songlan (Nick) Nie (2023, MMath at Oxford)
- Yiran Yang (Summer 2022, visiting student at Oxford, co-supervised by Alex Shestopaloff)
- Dongsheng Zeng (Summer 2022, MSc at Oxford, co-supervised by Mihai Cucuringu)
- Anass Ben Bouazza and Qin Su (Summer 2022, MSc at Oxford, co-supervised by Quan Zhou)
- Zhiyue Su, Yi Tu, Shancheng Wang, Keyi Zhang (2022, MMath at Oxford)