PhD Position in Entrepreneurship using AI-driven Research Methods (minimum 3-year funding) (m/f/d)
PhD Position in Entrepreneurship using AI-driven Research Methods (minimum 3-year funding) (m/f/d)
PhD Position in Entrepreneurship using AI-driven Research Methods (minimum 3-year funding) (m/f/d)
PhD Position in Entrepreneurship using AI-driven Research Methods (minimum 3-year funding) (m/f/d)
Universität St.Gallen
Forschung
St. Gallen
- Art der Anstellung: Vollzeit
- 85.500 CHF – 110.500 CHF (von XING geschätzt)
- Vor Ort
PhD Position in Entrepreneurship using AI-driven Research Methods (minimum 3-year funding) (m/f/d)
Über diesen Job
PhD Position in Entrepreneurship using AI-driven Research Methods (minimum 3-year funding) (m/f/d)
100 %
( by
01.09.2025 or by agreement, limited by 3 years)
Your tasks
As a doctoral candidate in this interdisciplinary position, you will
- conduct independent, high-quality research at the intersection of entrepreneurship, strategic decision-making, and artificial intelligence (AI).
- assist in developing and refining innovative machine learning methodologies, primarily using Python, in data collection and analysis.
- contribute actively to research focused on entrepreneurial exits, founding team dynamics, and the role of imprinted experiences on venture outcomes.
- design, implement, and evaluate experiments and surveys integrating advanced AI tools and methods, including deep learning and natural language processing.
- Support the team in writing and publishing papers in high-ranked entrepreneurship, management, and technical journals.
- Participate in and help organize academic workshops, conferences, and presentations to disseminate research findings.
- Engage actively in departmental activities, teaching assistance, and student mentoring.
Your profile
- Master's degree (completed or near completion) in Economics, Business, Computer Science, Data Science, or related fields
- Strong interest and enthusiasm for entrepreneurship, particularly regarding strategic decisions around entrepreneurial exits and team dynamics
- Interest in applying AI and computational techniques to entrepreneurial processes and multimodal communication
- Demonstrable proficiency in Python and familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow)
- Ambition to publish in top-tier academic journals
- Ability to collaborate effectively in a dynamic, interdisciplinary team environment
- Excellent command of English (written and verbal)
This PhD position is funded as part of an SNF research project on entrepreneurial exits. The project uniquely integrates state-of-the-art AI methodologies with rigorous empirical research in entrepreneurship, aiming to deepen understanding of how entrepreneurial decisions evolve dynamically over time and within team contexts. You will be part of a vibrant research group, benefiting from extensive mentorship, collaboration, and opportunities to engage with leading academics and industry professionals.
We look forward to your online application!
Please submit the following documents online:
Cover Letter detailing your research interests, motivation for joining this project, and how your background aligns with the position
Curriculum Vitae (CV) highlighting your education, research experience, coding skills, and any relevant publications or working papers
Copies of your grade transcripts and certificates
We look forward to your online application!
Please submit the following documents online:
Cover Letter detailing your research interests, motivation for joining this project, and how your background aligns with the position
Curriculum Vitae (CV) highlighting your education, research experience, coding skills, and any relevant publications or working papers
Copies of your grade transcripts and certificates
We are looking forward to your online-application stating the job ID 1527