PostDoc Researcher in the area of machine learning

University of Applied Sciences and Arts of Southern Switzerland - SUPSI; Lugano; Vor Ort; CHF 80’000 - 100’000; Vollzeit

Zusammenfassung

A Swiss technical university in Lugano is seeking two PostDoc Researchers in machine learning. In this role, candidates will conduct independent research and participate in deep learning projects targeted at the financial industry. Ideal applicants hold a Ph.D. in Computer Science and have strong experience with deep learning frameworks. This position offers an attractive salary and allows for personal research projects.

Leistungen

PostDoc employment contract for 2 years

No teaching obligations

Participation in high-profile conferences

Attractive salary in line with Swiss standards

Qualifikationen

• Ph.D. in Computer Science, Machine Learning, or related field.
• Publication record in deep learning.
• Ability to conduct independent research and collaborate effectively.

Aufgaben

• Conduct R&D in deep learning systems in a financial context.
• Pursue independent research agenda in deep learning.
• Collaborate with R&D teams on financial industry projects.

Kenntnisse

Deep learning libraries (PyTorch / TensorFlow / ONNX)

NumPy

Independent research

Collaboration

Ausbildung

Ph.D. in Computer Science or related field

Top 5% of Master graduates

Tools

Deep learning systems

Jobbeschreibung

Deadline : 27.07.025

The University of Applied Sciences and Arts of Southern Switzerland (SUPSI) invites applications for two PostDoc Researcher in the area of machine learning at the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI) within the Department of Innovative Technologies (DTI), located in Lugano. The degree of employment is 100%, with a contract starting on September 1, 2025, or on a mutually agreed date.

Duties and responsibilities

The successful candidate will pursue her / his own research agenda and also participate in research teams that target the development of deep learning applications for the financial industry. The candidate will :

• Conduct R&D in deep learning systems in a financial industry context.
• Pursue independent research agenda in the area of deep learning.
• Cooperate in R&D teams to execute projects related to the financial industry. Strong collaboration with software engineers, researchers and industry partners.
• Collaborate with interdisciplinary teams to integrate NLP and deep learning technologies into practical applications.
• Invent, design and prototype AI systems. Apply state-of-the-art techniques in deep learning, transformers, large language models, and parameter-efficient fine-tuning.

Requirements

Ph.D. in Computer Science, Machine Learning, Computational Linguistics, or a related field.

Strong experience with deep learning libraries (PyTorch / TensorFlow / ONNX) and NumPy.

Ability to work independently and on schedule.

PhD from top-tier institution. The candidate should be among the top 5% of Master graduates of their university.

Publication record in deep learning.

Ability to conduct independent research and collaborate effectively within a team.

Preferred Qualifications

Extensive experience with deep learning, particularly in the context of LLMs.

Experience with reinforcement learning, particularly in the context of LLMs.

Experience of work / research in a financial context is a plus but not required.

What SUPSI Offers

PostDoc employment contract for 2 years with option for extension.

No obligation to teach or participate in university maintenance.

Participation in cutting edge research to bring research partners in the financial industry forward.

Mixed position between research and high-tech development.

Sufficient time to pursue own / private research agenda.

An international working environment.

Participation in high-profile conferences, workshops and schools.

Attractive salary, in line with Swiss standards and the candidate's experience.

Our Commitment

SUPSI believes that the future is shaped by diverse perspectives, unique experiences, and a culture that is equitable, inclusive, and respectful of differences.