Research Fellow

About us

The UCL School of Management is home to UCL’s business and management research and education programmes. The School has forged a reputation for world-leading research and teaching in the areas of innovation management, the creation and growth of technology-intensive organisations, business analytics, and entrepreneurship. The research undertaken at the UCL School of Management has been rated as ‘world-leading’ and ‘internationally excellent’ in the Research Excellence Framework 2021 (REF), placing us 2nd in the UK for Business and Management. Further information about the School can be found here: www.mgmt.ucl.ac.uk/

About the role

UCL School of Management Operations and Technology group is seeking a motivated, independent, and highly skilled Postdoctoral Research Fellow to contribute to a research agenda in the following two potential directions: • Led by Dr. Kenan Arifoglu, Dr. Aras Selvi: research on end-to-end synthetic data generation and decision making under uncertainty. The work will develop new methods for generating privacy-preserving data that remain useful for the operational decisions ultimately made from them, rather than treating data generation and decision making as separate stages. A particular focus will be on high-stakes healthcare settings, where sensitive data must support reliable planning, capacity, and resource-allocation decisions under uncertainty despite privacy restrictions. • Led by Dr. Yi-Chun Akchen and Dr. Mengzhenyu Zhang: projects on examining how firms, platforms, and market designers can use information and assortment strategically. Two related research projects are possible. The first project studies information disclosure combined with mechanism design in markets with private information. The second studies dynamic information and assortment policies in markets where customers arrive over time and do not observe the history of previous decisions. Both contribute to a broader understanding of how limited, carefully designed communication and menus can improve allocation, coordination, and revenue. This post is a fixed‑term, 12‑month contract. The role is based at the School’s Canary Wharf campus, and the start date is flexible, with appointments possible from January 2027.

About you

The successful candidate will need to evidence the following in their application. They must hold a PhD, or be close to completing a PhD, in Operations Research, Operations Management, Economics, Computer Science, or a related discipline. If the PhD has not been formally awarded before the employment start date, the post holder will be appointed at the Research Assistant Grade 6B level. They must demonstrate clear interest in one of the two research agendas presented as core to this role, as set out in the Job Description. This interest must be evidenced in the Cover Letter, where applicants are required to specify which agenda they intend to pursue and how they plan to use the 12‑month appointment to meet the duties and responsibilities of the post. They must also demonstrate advanced knowledge and experience in optimisation methods or game theory, mechanism design, economic theory, and strong mathematical and analytical skills, including experience with formal proofs. This expertise should be evidenced through the CV and writing samples. In addition, applicants must show that they can propose a research plan that fits within one of the two research directions described in the Job Description, and this should be clearly articulated in the Cover Letter.

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