PostDoc Researcher in the area of machine learning

IU International University of Applied Sciences; Manno; Vor Ort; CHF 80’000 - 120’000; Vollzeit

Zusammenfassung

IU International University of Applied Sciences seeks two PostDoc Researchers specializing in machine learning at the Dalle Molle Institute for Artificial Intelligence. Candidates will be involved in innovative research aiming at deep learning applications for the financial sector. This role offers a supportive international environment with opportunities for independent research and collaboration with experts in the field.

Leistungen

PostDoc employment contract for 2 years

International working environment

Participation in high-profile conferences

Sufficient time for private research agenda

Qualifikationen

• Ph.D. required with a strong publication record in deep learning.
• Experience with deep learning libraries such as PyTorch, TensorFlow.
• Ability to conduct independent research.

Aufgaben

• Conduct R&D in deep learning systems related to the financial industry.
• Collaborate with interdisciplinary teams for AI system integration.
• Pursue independent research agendas.

Kenntnisse

Deep Learning

Machine Learning

NLP

PyTorch

TensorFlow

ONNX

NumPy

Ausbildung

Ph.D. in Computer Science or related field

Jobbeschreibung

PostDoc Researcher in the area of machine learning

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.

Application Process

Applications will only be considered if submitted electronically by 27.07.2025, through the dedicated application form. The following documents, written in English, must be included:

• Curriculum vitae with publications list and possibly link to the PhD thesis.
• List of two or three references (with e-mail addresses).
• A motivation letter, including a brief description of past research experience and future interests (1-2 pages).

For further information, please contact Dr. Oleg Szehr

Incomplete applications, those submitted to incorrect addresses, or those received after the deadline will not be considered. In addition to the required application documents, further documentation (such as a criminal record certificate or a copy of an identity document) may be requested at a later stage

VETRINE

Department of Innovative Technologies (DTI), Lugano

Entry into service: 01.09.2025 or date to be agreed.

PostDoc Researcher in the area of machine learning

The University of Applied Sciences and Arts of Southern Switzerland (SUPSI) is one of the nine professional universities recognised by the Swiss Co...