PhD Position in Machine Learning and Renewable Energy
University of Tubingen Department of Computer Science
Germany

PhD-position: Machine Learning & Renewable Energy (m/f/d, E13 TV-L; 65%)

Faculty of Science, Department of Computer Science

Bewerbungsfrist : 20.04.2021

The Department of Computer Science at the Eberhard Karls University Tübingen invites applications for a position in the Cluster of Excellence ‘Machine Learning: New Perspectives for Science’:

1 Doctoral-Position (m/f/d, E13 TV-L; 65%)

The position is available immediately (but start date is negotiable), the contract is initially for three years, and remunerated according to the German salary scale 13 TVL.

Providing heating and hot water for buildings contributes considerably to the carbon dioxide emissions. Solar thermal systems (STS) could substantially reduce these emissions. The project will use machine learning on existing data-logs of STS and will combine those data with weather data to optimize efficiency and maintenance of the systems. The PhD position is embedded in a joint initiative of four projects that all focus on spatiotemporal environmental data (project: ‘Modeling and Understanding Spatiotemporal Environmental Interactions’) within the Cluster of Excellence ‘Machine Learning: New Perspectives for Science’. The project partners for our subproject are: 

• Nicole Ludwig / Machine Learning in Sustainable Energy Systems https://uni-tuebingen.de/en/199093
• Carl Johann Simon-Gabriel / Learning & Adaptive Systems https://las.inf.ethz.ch
• Georg Martius / Autonomous Learning https://al.is.mpg.de/
• Volker Franz / Experimental Cognitive Science http://www.ecogsci.cs.uni-tuebingen.de 

Applicants must hold a MSc-degree (or equivalent) in machine learning, mathematics, statistics, physics, computer science, or similar fields. We expect knowledge and interests in environmental topics and programming skills (e.g., Python / R / C/C++). 

Tübingen is a beautiful, small University-town with one of the famous old Universities of Europe (http://www.uni-tuebingen.de/en/university.html). It has a strong and lively research community committed to Machine Learning. Tübingen is a cultural center and right at the beautiful Swabian Alb which allows for plenty of outdoor activities. It is also very close to the large cultural center of Stuttgart.

Disabled candidates will be given preference over other equally qualified applicants. The University seeks to raise the number of women in research and teaching and therefore urges qualified women to apply.

For your application, please send the following documents:

• Curriculum vitae 
• Copies of all university and  school certificates (starting with matriculation-relevant school certificate)
• Copy of your passport (for non-German applicants) 
• Short sketch of your research interests (1 page max)
• Letters of recommendation and/or contact details of 2-3 referees.

Please address your application by Email (as one single PDF-file) to: ec-sekretariatspam prevention@inf.uni-tuebingen.de. Deadline for application is Apr, 20th, 2021 (the position will be open until filled). 

Formal employment procedures will be carried out by the University’s Central Administration. If you have any questions please contact us by email ec-sekretariatspam prevention@inf.uni-tuebingen.de.