The Institute of Law and Economics (ILE-HSG) conducts research at the interface of law (tax law and public law) and business (corporate governance, reporting and tax & trade). This doctoral position is part of the Marie Skłodowska-Curie Actions Doctoral Network REGULAIRE, with an international cohort of 15 doctoral candidates across ten European universities. The position offers cross-institutional supervision, network-wide methods training, three residential summer schools, monthly paper development seminars, and practitioner engagement. The University of St.Gallen provides a stimulating interdisciplinary research environment with opportunities to contribute to national and international research and policy networks. A planned three-month intersectoral secondment is included as part of the doctoral project, with the opportunity to complete a doctoral thesis and develop an independent research profile in AI governance, law and technology, and regulatory learning.
Tasks
- Analyse national AI regulatory portfolios as combinations of policy measures, focusing on instrument mixes, predictability of regulatory environments, and conditions under which regulatory adaptation creates early warnings of policy misfit.
- Work with available datasets and develop an openly available dataset, codebook, and LLM-assisted methodology for analysing EU and national regulation.
- Develop a methodology and framework for regulatory problem sensing and translate findings into guidance for building regulatory learning capacities.
- Refine research questions and design with the supervision team; prepare ethics, data-management, and open-science materials; complete a doctoral thesis and related publications.
- Participate in MSC-DN REGULAIRE training, network reviews, dissemination, practitioner engagement, summer schools, and monthly paper development seminars.
Requirements
- Master's degree (or equivalent qualification giving access to doctoral studies at the University of St. Gallen) in law, economics, data science, or a related social science/interdisciplinary field, completed by the start date.
- Skills or demonstrable interest in comparative policy analysis, computational or LLM-assisted text analysis, and qualitative assessment.
- Strong interest in AI governance, law and technology, and interdisciplinary research.
- Excellent written and spoken English.
- Reliable, independent, and analytical working style.
- Willingness to engage in international mobility and network-wide activities, including the planned secondment.
- Fulfillment of the doctoral admission requirements of the University of St.Gallen and the MSCA eligibility conditions.
- Applicants may be of any nationality and must not hold a doctoral degree at the start of MSCA employment.
- Applicants must comply with the MSCA mobility rule: they must not have resided or carried out their main activity in Switzerland for more than 12 months during the 36 months immediately preceding the start date (subject to the standard MSCA exclusions).
- Applicants must be eligible for timely enrolment in the relevant doctoral programme at the University of St.Gallen.
Benefits
- Inspirational work environment.
- Executive education opportunities, including internal seminars, e-learning, coaching, and collegial advice.
- Support for task-specific external training and executive education, both financially and with regard to time required.
- Culture of cross-functional collaboration and opportunities to build valuable relationships with internal and external partners.
- Flexible work time models with a variable number of hours per week.
- Part-time positions, 16 weeks of maternity leave, subsidised crèche, and support with childcare during vacations.
- Equal opportunities for all employees and students, including support for academic careers and work-life balance.
- Diverse range of sports activities, most of which are free of charge, and campaign weeks for corporate health management.
- Fruit in the workplace and a canteen offering a wide selection of freshly prepared meals at discounted prices.
- Modern IT infrastructure and nationwide access to scientific information via HSGswisscovery.
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Das Team
Primary supervision is provided by Prof. Aurelia Tamò-Larrieux (HSG), co-supervision by Prof. Sebastian Schwemer (BI Norwegian Business School), plus a sectoral mentor at the secondment host. The position is part of an international cohort of 15 doctoral candidates across ten European universities, with cross-institutional supervision and network-wide activities.