PhD Student in Mathematics - Stable Portfolio Optimization

Technical University of Denmark; Örebro kommun; On-site; SEK 328,025 - 392,910; Full time

Job summary

Örebro University and the School of Science and Technology invite applications for a doctoral student in mathematics, starting Autumn semester 2026. The project focuses on analyzing ill-posed portfolio optimization and developing stable, efficient algorithms for solving them.

Supervision will be provided by Professor Mårten Gulliksson, Docent Magnus Ögren and Docent Stepan Mazur. The doctoral programme lasts four years of full-time study, combining courses with an independent research project

Qualifications

• Requires a second-cycle qualification in mathematics.
• Includes at least 120 ECTS in mathematics with an independent project; 30 ECTS in second cycle recommended.

Responsibilities

• Conduct doctoral research on ill-posed portfolio optimization and develop stable, efficient algorithms.
• Engage in teaching duties amounting to about 20% of time.

Skills

Mathematics

Portfolio theory

Education

Second-cycle qualification in mathematics

120 credits in mathematics coursework

Job description

Örebro University and the School of Science and Technology invite applications for a doctoral student in mathematics, starting Autumn semester 2026. The project focuses on analyzing ill-posed portfolio optimization and developing stable, efficient algorithms for solving them.

Supervision will be provided by Professor Mårten Gulliksson, Docent Magnus Ögren and Docent Stepan Mazur. The doctoral programme lasts four years of full-time study, combining courses with an independent research project