精东影业

Duties and responsibilities

The successful candidate will pursue her/his own research agenda and also participate in research teams that target the de-velopment 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

Essential 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 精东影业 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.

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.