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Senior Data Scientist

80%-100%, Zurich, fixed-term

The Swiss Data Science Center was founded through a strategic focus area of the ETH Board and 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 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. For more details on our academic research collaborations see here.

Job description

As a Senior Data Scientist you will use your expertise in machine learning, statistics, computer vision, natural language processing, or related fields. Your expertise will help domain experts working in Earth and environmental science, physical and engineering sciences, biology, biotechnologies, personalized medicine and health, computational social science, economics. Moreso, 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 at EPFL, ETH Zurich and the ETH Research Institutes: EMPA, EAWAG, PSI and WLS.

You will also help advising MSc Students and evaluating project proposals.

We offer a stimulating, cross-disciplinary environment. Opportunities for turning research into impactful solutions. Excellent ties to research groups worldwide.

Your profile

The ideal candidates are researchers with a PhD 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++.

ETH Zurich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
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We look forward to receiving your online application with the following documents:

  • Letter of motivation
  • CV

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 Fernando Perez-Cruz, email or Guillaume Obozinski (no applications).

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.

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