The Swiss Data Science Center (SDSC) is a national research infrastructure in data science and artificial intelligence (AI) within the ETH domain, with EPFL and ETH Zurich as founding partners. Its mandate is to support academic labs, hospitals, 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 across domains such as health and biomedical sciences, energy and sustainability, climate and environment, and large-scale scientific infrastructure.
The candidate will be integrated into a dynamic and rich environment, with people from different fields and expertise, and will be part of SDSC's Research team. The Research team at the SDSC comprises more than 35 data scientists, seeking to apply novel AI/ML methods to solve real-world problems in the academic and public sectors. See for an idea of some of our academic research collaborations.
As a Senior Data Scientist with expertise in NLP and LLMs working in the Research team, you will help researchers and other collaborators in academia or the public sector in Switzerland leverage state-of-the-art methodologies. You will help collaborators from various fields carry out projects based on textual or related data (potentially multi-modal), and notably in health and biomedical sciences, climate and environment, energy and sustainability, and social sciences.
This typically involves actively exchanging with collaborators and domain experts to understand the precise desiderata of the project, determining which approaches, formulations, and language models are most effective to achieve the desired goals, implementing the corresponding algorithms, performing the evaluations hand-in-hand with collaborators, and eventually releasing open-source code and writing research papers when appropriate.
- Working on projects requiring expertise with LLM-based and NLP methods with collaborators from the academic and public sectors.
- Supervise and collaborate with students at different levels, providing guidance and supervision.
- Engage with diverse stakeholders, including researchers across various domains and other professionals.
- Prepare scientific publications for top-tier domain conferences and journals.
- Evaluating project proposals.
- A PhD is a must have - ideally in NLP.
- Experience with large language models and/or other foundation models. In particular, relevant experience includes training or fine-tuning (language) models of different sizes, familiarity with the characteristics of main language models and their domain applicability, and experience with large-scale data projects.
- Beyond prompt engineering techniques, familiarity with parameter-efficient fine-tuning, agentic methods, advanced usages, and transfer methodologies for large language models would be of particular interest.
- Proficiency in Python and PyTorch, and familiarity with Hugging Face Transformers, NLTK, LLM environments, tools for agentic AI, etc.
- Demonstration of research excellence through publications in relevant venues.
- Proven experience in interdisciplinary projects and environments in which developments are guided by domain research questions.
We are thus seeking candidates with a strong curiosity about learning from other non-technical disciplines and proficient in presenting methods and results to non-technical audiences.
Professional Development:
- Opportunities to publish contributions to research projects in high-impact journals
- Possibility to travel and present work in international venues
- Involvement in supervision of MSc and BSc students
Work Environment:
- A stimulating, dynamic, diverse and cross-disciplinary research environment
- Nice offices with convenient location in Zurich
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. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.
Interested in creating tools that will promote and universalize the usage of modern ML methodologies? Come and join our team!
We look forward to receiving your online application with the following documents:
- Motivation letter (max 2 pages)
- CV (including publication list)
- Contact details for 2 to 3 references
- Other relevant documents: electronic copies of diplomas, transcripts, certificates, links to code repositories, and/or a portfolio of projects
Further information about the Swiss Data Science Center can be found on our website. Examples of projects carried out by the Research team can be found here.
Questions regarding the position should be directed to [email protected] (no applications).
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.
