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SURE Project, Group Krause & Multerer

We are seeking candiates for a PostDoc position in the SURE project.

The project
The position is financed by the SURE (SUstainable and REsilient energy for Switzerland) project of the first SWEET call of the Swiss Federal Office of Energy. The SURE consortium (ETHZ, EPFL, USI, SUPSI, UniBE, UniGE, ZHAW, E3-MODELLING S.A. and further partners) is combining research and knowledge from different areas to develop new data- and model-based scenarios. These scenarios are intended to point out transition pathways to restructure the energy system, particularly taking into account disruptive events.


The PostDoc Position
The PostDoc candidate will work together with Prof. Krause and Prof. Multerer. The successful candidate will be offered the possibility to work in a dynamic research team and in a multidisciplinary and international scientific environment.
On the teaching side, the candidate will work as teaching assistant in courses at either bachelor or master level, helping in the preparation of teaching materials and tutoring students. The PostDoc candidate is expected to present papers at scientific conferences and produce publications in high-ranking journals.

Information on the profile, terms and application can be found in the PDF liked to this page.

Group of Prof. Vittorio Limongelli

  • PostDoc with excellent background in machine learning. Knowledge/experience with biophysical systems is a plus. 
  • PhD student with a master's degree in Informatics and experience in machine learning and programming.
  • PhD student with a master's degree in Chemistry, Physics or Mathematics. Knowledge/experience with numerical calculations is preferred.

Group Of Prof. Thomas Lemmin

  • PhD candidate: We are looking for a PhD candidate to work in the areas of machine learning, and protein modeling and design. Research objectives include the development and implementation of deep generative models for protein design with applications in the fields of antibody therapeutics and biosensor design. The research will be carried out at the Euler Institute of the Università della Svizzera italiana (USI), in Lugano, Switzerland. The starting date is in September 2021.
    • Your profile: You are a highly motivated individual capable of grasping and applying new concepts, working individually, and collaborating with multidisciplinary research teams. The candidate should hold a Master of Science (MSc) degree and have an interest in Machine Learning and/or Computational Biology. Proficiency in Deep Learning and Molecular Modeling are a plus.
    • Your application should include the following documents:
      • Curriculum Vitae (CV)
      • Statement of research interests, containing a short description of your background, motivation and skills 
      • Copies of transcripts and certificates from undergraduate and graduate studies
      • Contact coordinate and information of three references.
    • Send your dossier to: thomas.lemmin@inf.ethz.ch
  • Postdoc: We are looking for a postdoc candidate to work in the areas of machine learning, and protein modeling and design. Research objectives include the development and implementation of deep generative models for protein design with applications in the fields of antibody therapeutics and biosensors design. The research will be carried out at the Euler Institute of the Università della Svizzera italiana (USI), in Lugano, Switzerland. The starting date is in September 2021.
    • Your profile: You are a highly motivated individual capable of grasping and applying new concepts, working individually, and collaborating with multidisciplinary research teams. The candidate should have a PhD degree ideally in the fields of Deep Learning, or Computational Biology or Chemistry.
    • Your application should include the following documents:
      • Curriculum Vitae including a complete list of publications
      • Statement of research interests, containing a short description of your background, motivation and skills
      • Copy of the PhD degree
      • Summary of a scientific achievement, e.g. contribution in a scientific paper, organization of a workshop (max. 1 page)
      • Contact information of three references.
    • Send your dossier to: thomas.lemmin@inf.ethz.ch