Postdoctoral Fellow in Computational Social Science (m/f/d)

at  Constructor University Bremen gGmbH

Constructor University (formerly Jacobs University) is a private, state-accredited, English-language university in Bremen. We offer Bachelor, Master, and PhD programs in three schools: School of Science, School of Computer Science and Engineering, and School of Business, Social and Decision Sciences. Our principles are first-class teaching and research, international diversity, and transdisciplinary cooperation. According to the 2024 Times Higher Education (THE) World University Rankings, Constructor University is among the top 25 percent out of more than 1900 universities worldwide and is ranked as the second most international university in the world. As an international university, we attract highly talented and open-minded students from all over the world. Currently, over 1,600 students from 110 nations live and study on our residential campus.
Constructor University invites applications from interested candidates for the following position, to be filled ideally by 01.01.2025:
Postdoctoral Fellow in Computational Social Science (m/f/d)
(full time; 38.5 hrs./week; limited for 3 years)
The position is funded within a collaborative research project with several international partners in in the Horizon Europe program in computational social science

Your responsibilities:

• Simulation methodology development for agent-based models of democratic decision-making connected with large language models and quantum voting models.
• Conceptualizing the construction of synthetic populations.
• Social Choice analysis of electoral systems with focus on quadratic voting and quantum game theory.
• Writing research papers on the project’s topics and preparing deliverables for reporting.

Your qualifications:

• We are looking for a researcher with an interdisciplinary spirit of any background which research interest aligns with the project’s objectives.
• Experience in developing, programming, and analyzing agent-based models is required.
• Knowledge of social choice theory, quantum mechanics, and synthetic populations is a plus.

What you can expect at Constructor University:
Constructor University is dedicated to equal opportunity employment and invites applications from individuals of all backgrounds, irrespective of gender identity, gender expression, age, physical characteristics, disability, nationality, ethnic and cultural backgrounds, social and political affiliations, religion, family status, pregnancy, or sexual orientation. We are committed to ensuring fair treatment for all applicants and preventing any form of discrimination. Constructor University actively encourages applications from women and minority groups. Particularly, we invite candidates with extensive international experience to apply, aiming to further enrich the diversity of our faculty.
Constructor University consistently achieves top results in national and international university rankings.

In the CHE Ranking, the most comprehensive and detailed ranking of the German-speaking higher education landscape, Constructor University has achieved top placements every year since its first participation in 2005.

• The result counts: trust working hours for work-life balance
• Possibility to work remotely
• Individual on-boarding, career- and development planning
• Company fitness program offers with EGYM Well Pass (former Qualitrain)
• Green campus with recreation areas, take the tour:

https://info.constructor.university/campustour/

• Constructor University has extensive programs on sustainability and environmental sustainability

Your application:
For any further information regarding this position, please contact Jan Lorenz (Assistant Professor of Social Data Science), via Mail (jlorenz@constructor.university) or job-application@constructor.university.
Apply today - it’s simple and uncomplicated. We look forward to getting to know you.
The review of applications will begin immediately. Please note that only applications submitted through the official application portal will be considered for recognition.

• Simulation methodology development for agent-based models of democratic decision-making connected with large language models and quantum voting models.
• Conceptualizing the construction of synthetic populations.
• Social Choice analysis of electoral systems with focus on quadratic voting and quantum game theory.
• Writing research papers on the project’s topics and preparing deliverables for reporting