⛔ This position is no longer available.
University: University of Basel
Country: Switzerland
Deadline: Not specified
Fields: Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Theoretical Physics
Are you passionate about advancing the frontiers of artificial intelligence and eager to understand how machines can reason as effectively as humans do? If you are driven by curiosity about the theoretical and practical aspects of machine reasoning, and want to contribute to the next generation of AI models, this PhD position at the University of Basel could be the ideal step for your academic and professional journey.
About the University or Research Institute
The University of Basel, founded in 1460, is Switzerland’s oldest university and one of Europe’s leading research institutions. Located in the vibrant city of Basel, the university is internationally recognized for its commitment to excellence in research and teaching. The Department of Mathematics and Computer Science offers a stimulating and collaborative environment, attracting talented researchers and students from across the globe. Basel itself is renowned for its rich cultural life, quality of living, and its strategic location at the intersection of Switzerland, Germany, and France, making it a hub for international research and innovation.
Research Topic and Significance
The primary focus of this PhD position is on the foundations and applications of reasoning with large language models (LLMs), including state-of-the-art diffusion-based architectures. As LLMs become increasingly central to AI research and applications, understanding their mechanisms, limitations, and potential for mathematical reasoning is crucial. This research is especially relevant as society moves toward the integration of AI in critical decision-making processes, scientific discovery, and complex problem-solving. The project aims to bridge theoretical insights with real-world applications, pushing the boundaries of what AI systems can reliably reason about and adapt to.
Project Details
The position is based in the research groups of Prof. I. Bogunovic and Prof. A. Lucchi at the Department of Mathematics and Computer Science. The successful candidate will investigate theoretical aspects of LLM reasoning, develop practical approaches for solving mathematical reasoning problems, and explore reinforcement learning strategies to optimize decision-making in complex environments. The research will also involve the development of fine-tuning protocols for large pre-trained models, aiming to close the generalization gap in LLM reasoning and enable adaptation across domains. The project is characterized by a blend of rigorous formal analysis and cutting-edge experimentation, including reinforcement learning, few-shot learning, and meta-learning. Collaboration with national and international teams, including those at EPFL and ETH, is encouraged, and the candidate will have opportunities to present research at leading international conferences such as ICML, NeurIPS, ICLR, JMLR, and AISTATS.
Candidate Profile
Ideal applicants should have a Master’s degree in mathematics, theoretical physics, or computer science, with an outstanding academic record and a robust mathematical foundation. Strong programming and implementation skills, as well as the ability to conduct large-scale experiments, are essential. While prior research experience is advantageous, it is not mandatory. The position requires excellent communication skills and fluency in English, both written and spoken. The University of Basel is committed to diversity and strongly encourages applications from women and other groups underrepresented in the field.
Application Process
For application details, please refer to the official advertisement at:
https://jobs.unibas.ch/offene-stellen/phd-position-in-the-field-of-reasoning-in-machine-learning-prof-i-bogunovic-and-a-lucchi/884025e4-1568-4bee-9e0b-b361e2e45ff6
Applications are encouraged before April 15, 2026, but there is no fixed deadline; the position will remain open until a suitable candidate is found.
Conclusion
This PhD position offers an exceptional opportunity for motivated individuals to engage in pioneering research at the intersection of mathematics, computer science, and artificial intelligence. If you are eager to contribute to the theoretical foundations and practical advancements of machine reasoning, consider applying to join the University of Basel’s vibrant academic community. Stay tuned to similar opportunities for further career advancement in this exciting and rapidly evolving field.
Questions & Answers
Question: What are the main research areas covered in this PhD position?
The position focuses on reasoning in large language models, including theoretical analysis, practical applications for mathematical reasoning, reinforcement learning, and model fine-tuning for domain adaptation.
Question: What qualifications are required for applicants?
Applicants should have a Master’s degree in mathematics, theoretical physics, or computer science, with strong academic performance, mathematical skills, programming proficiency, and fluency in English.
Question: Is prior research experience necessary to apply?
While research experience is beneficial, it is not mandatory. The university values a strong academic background and the ability to conduct rigorous experiments.
Question: Are there opportunities for international collaboration and conference participation?
Yes, the position offers collaboration with national and international research teams and the chance to present work at leading international conferences.
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