Your responsibilities

Over the course of the project, you will integrate state-of-the-art machine learning methods into a pipeline for microscopy image analysis. Relevant techniques include:

• Self-supervised representation learning (e.g., DINOv2/v3)
• Cell tracking and segmentation (e.g., DeepSort, Cellpose-SAM)
• Vision–language models (e.g., MedGemma, CONCH)

While the main focus is on algorithm development, the role will also involve aspects of hardware integration, sample handling, and measurement, in close collaboration with our wet-lab and engineering teams. You will work under the guidance of a senior machine learning engineer and receive support from experienced data scientists and biosystems engineers throughout the project.

Your profile

Know-how

• Strong background in state-of-the-art deep learning methods (LLMs, vision transformers, etc.)
• Fluent in Python and deep learning frameworks such as PyTorch.
• Working with Docker and HPC systems is a plus.
• Experience in working with microscopy-based imaging is a plus.
• Strong English-speaking skills required, German and / or French-speaking skills a plus.

Interpersonal skills

• Good communication skills.
• Ability to work independently and take initiative.
• Excellent problem-solving skills and attention to detail.

CSEM mission and values

Our mission is the development and transfer of innovative technologies to the Swiss industry. Our objective is to make an impact on our customers and on society at large in the fields of precision manufacturing, digital technologies and sustainable energy. Our strength is the excellence of our people, about 650 passionate specialists dedicated to innovation and technology transfer. We believe that strong values support the successful development of our organization as well as the harmonious and balanced development of all our employees.

We are

• A unique place between research and industry at the cutting edge of new technologies
• An innovative, non-profit, and employee-driven company
• A dynamic, multidisciplinary, and multicultural environment
• A solar team focused on enabling solutions to energy challenges for a sustainable world

Working@CSEM means

• being part of a passionate community
• incredible flexibility, attractive working conditions, and great opportunities of development
• benefit from a management style based on trust & feedback and that favors a work-life balance

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity.
We look forward to receiving your complete application file via (CV, cover letter, certificates & diplomas) our job page. Preference will be given to professionals applying directly.