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 at EPFL, ETH Zurich and the ETH Research Institutes (EMPA, EAWAG, PSI and WLS)
You will also help:
- Advising MSc Students
- Evaluating project proposals
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
- Signal Processing
We also expect that candidates are proficient in Python/R, Scala, C/C++.
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. 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 multidisciplinary team. See here
for more details on our academic research collaborations.
- 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.
The position is limited to 1 year extendable. Applications will be considered until the position is filled.
For further information, please contact Dr Benjamin Bejar Haro , phone +41 56 310 30 68.
Please submit your application online by 15 December 2022 for the position as a Senior Data Scientist (index no. 7109-00).
Paul Scherrer Institut, Human Resources Management, René Gröbli, 5232 Villigen PSI, Switzerland