The Renewable Energy Systems group, led by Prof. Evelina Trutnevyte, at the University
of Geneva is looking to fill an open PhD position in renewable energy systems modeling.
Located at the Faculty of Science and the inter-faculty Institute for Environmental
Sciences, the Renewable Energy Systems group has three strategic research themes.
First, it uses mathematical modeling and technology assessment tools in order to inform
transition to renewable energy systems at all spatial scales, from neighborhoods and
municipalities to countries and continents. Second, the group searches for system-level
socio-technical energy solutions that are techno-economically feasible, environmentally
desirable, as well as acceptable and realistically implementable in the wider society.
Third, the group works with interdisciplinary methods for improving quantitative long range energy foresight for decision making under deep uncertainty. The scientific work in the research group typically also involves interactions with practitioners outside
academia, including the policy makers, stakeholders and the wider public.
The successful candidate will develop an energy system model for transition to renewable energy with the focus on spatially-explicit modeling or the use of advanced data analytics for tackling deep uncertainty. In return, the Renewable Energy Systems group provides a stimulating and innovative research environment on one of today’s most difficult societal challenges – energy. The city of Geneva takes pioneering action in promoting renewable energy as well as hosts multiple international organizations that foster global transition. The University of Geneva offers excellent conditions for the PhD students, including a competitive salary. The city consistently ranks worldwide among the most attractive cities to live.
In order to qualify for the position, the candidates are required to have a completed
Master’s degree and a proven ability of quantitative modeling and analysis in the energy
or environmental fields. Good knowledge in energy technology, GIS or advanced data
analytics, e.g. machine learning, are preferable. The candidates shall be interested in
working in a multi-disciplinary research group that is also interested in socio-technical
dimensions of energy. Excellent English skills are required (understanding, speaking, and writing); French or German skills are an important advantage.
Deadline for application is 1 March 2018
Please send you applications to email@example.com The applications shall include: (1) a
letter of motivation in English, (2) CV, (3) letters and contact information of two referees,
(4) a sample document of academic writing in English (e.g. Master thesis, semester 2
thesis, a publication as first author), and (5) a scanned copy of the Master’s degree
diploma with grades. If the size of the email exceeds 10 MB, please only include the letter
of motivation and CV in the email as well as a link for downloading the rest of the
document, e.g. Dropbox.
For detailed information on this opportunity visit this.
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