Join the SDSC

100%, Zurich, fixed-term

The Swiss Data Science Center (SDSC) is a National Research Infrastructure for data science and AI, grounded in the ETH domain, with EPFL and ETH Zurich as founding partners. Its mandate is to support academic groups and research, hospitals, industry, and the public sector at large, including cantonal and federal administrations. The center accompanies and supports their entire data science journey, from the collection and management of data to machine learning, AI, and industrialization.

The SDSC comprises a multi-disciplinary team of data and computer scientists and experts in several domains, with offices in Zürich, Lausanne, and Villigen.

Project background

We are currently looking for a Data Scientist to join SDSC's Innovation team, whose mission is to accelerate the adoption of data science by Swiss companies, public sector and NGOs.

Are you passionate about data science, familiar with machine learning, and keen on deepening your experience on the topic? Are you willing to solve industry and public sector challenges while being coached by experienced data scientists? Are you eager to be part of a diverse and adaptable team with growth opportunities of its members at its core?

If you can answer yes to these questions, you should consider joining us. We are a growing team of passionate data scientists who tackle business challenges and provide actionable results.

Job description

Responsibilities:

• Design, implement and test machine learning systems to solve industry and public sector challenges.
• Be involved in all aspects of a data science research project, from business understanding to proof of concepts and communication of achievements.

More specifically, in this role, you will:

• Meet customers to understand their business needs and design specific data science solutions to solve selected problems.
• Code and test the proposed solution (PoC), communicate results to stakeholders, and provide final reports of the work done and related outcomes.
• Present data science results to other non-technical audiences on occasion.

Profile

We are looking for candidates (m/w/d) with the following profile:

• Master’s degree in computer science, Mathematics, Physics, or similar field (PhD a plus)
• Ability to present results to different audiences (technical, non-technical)
• Solid knowledge of machine learning concepts and programming skills in Python, R, or a similar language
• 1-3 years of data science experience within the industry
• Fluency in (Swiss) German and English
• Openness to collaborative work, eagerness to learn new concepts and methods, willingness to contribute to an inclusive environment.
• Solid knowledge in NLP / Computer Vision, and Deep learning is a plus.

Workplace

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We offer

• Inspiring working environment.
• During your work, you will have the opportunity to be coached by data scientists with an academic background and industry and public sector experts.
• When dealing with data engineering aspects, you will have the opportunity to collaborate with our system specialists.
• The academic environment will allow you to grow your machine learning and statistics skills thanks to training

Start date: September 2025 or by agreement

Duration: 1-year renewable

Working, teaching and research at ETH Zurich

We value diversity

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

Curious? So are we.

We look forward to receiving your online application with the following documents:

• Cover letter
• CV
• Diploma(s)

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about the Swiss Data Science Center (SDSC) can be found on our website. Questions regarding the position should be directed to Anna Fournier [anna.fournier@sdsc.ethz.ch] or Saurabh Bhargava [saurabh.bhargava@sdsc.ethz.ch] (no applications).

For recruitment services the GTC of ETH Zurich apply.

The Paul Scherrer Institute (PSI) is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of future technologies, energy and climate, health innovation and fundamentals of nature. By performing fundamental and applied research, we work on sustainable solutions for major challenges facing society, science and economy. PSI is committed to the training of future generations. Therefore, about one quarter of our staff are post-docs, post-graduates or apprentices. Altogether, PSI employs 2300 people.

For the Group SDSC Hub at PSI we are looking for a

Senior Data Scientist

100 % Fixed-term, Villigen (PSI)

Your tasks

As a Senior Data Scientist at the Swiss Data Science Center, you will use your expertise in machine learning, statistics, computer vision, natural language processing, or related fields to help domain experts working in Earth and environmental science, physical and engineering sciences, biology, biotechnologies, personalized medicine and health, computational social science, economics, and more, to identify how to analyze or model their data, and to answer precise scientific questions or develop algorithms that perform automatically some challenging tasks.This involves exchanging actively and regularly with the domain experts to understand the precise desiderata of the project in domain science terms, translating it in data science terms, determining which approaches and formulations are most effective to achieve the desired goals, implement the corresponding algorithms, perform the evaluations hand-in-hand with the domain experts, and eventually release open-source code and write research papers in the domain science with the domains expertise, and contribute to the communication of the results.

Main duties and responsibilities include:

• Research with labs within the ETH Domain (EPFL, ETH Zurich, EMPA, EAWAG, PSI and WSL), and other research facilities at the national scale.

You will also help:

• Advising MSc Students
• Evaluating project proposals

Your profile

The ideal candidates are researchers with a PhD degree in machine learning or related field who have some experience working with concrete applied problems, keen on working in a data-driven way, and skilled at deriving useful insights from appropriate preliminary analyses of the data or determining why a particular model is not a good fit for the data considered and how it can be improved.

We are looking for multidisciplinary machine learners with sharp skills in one or more of the following fields:

• Deep Learning
• Bayesian Modeling
• Computer Vision
• Natural Language Processing
• Reinforcement Learning
• Statistics
• Optimization
• Signal Processing

We also expect that candidates are proficient in Python/R, Scala, C/C++.

We offer

The Swiss Data Science Center was founded through a strategic focus area of the ETH Board, and since 2025 has become a National Research Infrastructure. It has offices at EPFL, ETH Zurich and the Paul Scherrer Institute (PSI). Our mission is to help academic teams and industries leverage data science and state-of-the-art machine learning in domains that are of strategic relevance for Switzerland. In other words, SDSC aims at bridging the gap between those who create data, those who develop data analytics and systems, and those who could potentially extract value from it. The center is composed of a large and diverse multi-disciplinary team. Click here for more details on our academic research collaborations. We offer:

• A stimulating, cross-disciplinary environment
• Opportunities for turning research into impactful solutions
• Excellent ties to research groups worldwide

Our institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from a systematic training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure.

This is a fixed-term position. The employment contract will initially be limited to 2 years.

For further information, please contact Dr. Benjamin Bejar Haro, phone +41 56 310 30 68.

Please submit your application online by 30 June 2025 (including list of publications and addresses of referees) for the position as a Senior Data Scientist (Index-Nr. 7109-00).

Paul Scherrer Institute, Human Resources Management, René Gröbli, 5232 Villigen PSI, Switzerland

100%, Zurich, fixed-term

The Swiss Data Science Center (SDSC) is a National Research Infrastructure jointly founded by EPFL and ETH Zurich and part of the ETH Domain. Its mandate is to support academic labs, hospitals, the industry and public sector stakeholders, including cantonal and federal administrations, through their entire data science journey, from the collection and management of data to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to various domains, such as health and biomedical sciences, energy and sustainability, climate and environment, and large-scale scientific infrastructures.

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Project background

For SDSC's Research team we are currently looking for a Senior Data Scientist. The Research team is responsible for research collaborations in the academic and public sector.

Please visit our team's projects page for more info on some of our academic research collaborations.

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Job description

As a Senior Data Scientist working in the Research team of the Swiss Data Science Center, you will use your expertise in machine learning, statistical data science, computer vision, natural language processing, and signal processing to work closely with researchers, experts and other collaborators from academia or the public sector in Switzerland, working in various fields, such as health and biomedical sciences, climate and environment, energy and sustainability, physical and engineering sciences, and digital society. You will help them identify how to analyze or model their data to answer precise scientific questions or develop algorithms that perform automatically some challenging tasks.

This typically involves exchanging actively with collaborators and domain experts to understand the precise desiderata of the project, translating them into data science terms, determining which approaches and formulations are most effective to achieve the desired goals, implement the corresponding algorithms, perform the evaluations hand-in-hand with the domain experts, and eventually release open-source code and the associated documentation, write research papers or technical reports as appropriate, and contribute to the communication of the results.

Main duties and responsibilities of a Senior Data Scientist at SDSC include :

• Working on data science projects with collaborators from the academic and public sector.

You will also contribute to:

• Advising MSc Students.
• Evaluating project proposals.

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Profile

The ideal candidate:

• Holds a PhD in machine learning, statistics, computer vision, natural language processing, signal processing, or optimization.
• Has practical experience in using machine learning models in concrete applications.
• Has Experience in interdisciplinary collaborations and of real-world applications is desirable.
• Is proficient in Python, PyTorch, and familiar with state-of-the-art models and architectures.

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Workplace

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We offer

• A stimulating, collaborative, cross-disciplinary environment in a world-class research institution, where you will be part of a team of 40 data scientists from more than 15 different countries. We all work towards applying and developing novel ML methods to solve real-world problems.
• We value work-life balance.
• You will be able to publish your research in collaboration with experts from different fields in top-ranked journals and conferences.
• You will have the opportunity to help supervise student projects.
• We encourage experimentation and creativity by actively promoting learning of new technologies and approaches on the job.
• Your opinion will always matter.

Working, teaching and research at ETH Zurich

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We value diversity

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

‍

Curious? So are we.

We look forward to receiving your online application with the following documents:

• Motivation letter
• cv
• References, Etc.

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about the Swiss Data Science Center can be found on our website.

Questions regarding the position should be directed to Guillaume Obozinski (guillaume.obozinski@sdsc.ethz.ch) or Mathieu Salzmann (mathieu.salzmann@epfl.ch) (no applications).

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

For recruitment services the GTC of ETH Zurich apply.