Identifiant de la demande : 561
Assistant - Faculté des géosciences et de l'environnement
Contrat durée déterminée
The University of Lausanne (UNIL) promotes learning, research and living and hosts 14'100 students and nearly 3'800 collaborators, professors, and researchers. Ideally situated along the lake of Geneva, near Lausanne's city center, its campus brings together over 120 nationalities.
The Institute of Earth Surface Dynamics, University of Lausanne, invites applications for a PhD Position in machine learning application for geospatial data analysis and renewable energy assessment.
Expected start date in position : 01.05.2017 / to be agreed
Contract length : 1 year, renewable 1 x 2 years, maximum 4 years
Activity rate : 100%
Workplace : Institute of Earth Surface Dynamics (IDYST) Unil-Mouline
100% of the professional activity is destined to research
The main tasks concern the development, adaptation and programming of machine learning (data mining) methods and tools for geospatial data forecasting and uncertainty quantification. The main application fields deal with environmental, meteorological and renewable energy data. In particular, topics to be studied include data clustering, novelty detection, feature selection, mainfold learning and spatio-temporal simulations. The PhD student will work in close collaboration with the Solar Energy and Building Physics Laboratory, Ecole Polytechnique Fédérale de Lausanne (EPFL) within the framework of Swiss PNR75 "Big Data" project.
MS degree in one of the following disciplines : applied statistics, machine learning, computer science, geomatics and environmental data science.
Candidates should have a sound background in high dimensional data mining and visualization, spatial statistics, time series forecasting.
Knowledge and experience of programming in Matlab and R is required.
We offer a nice working place in a multicultural, diversified and dynamic academic environment, opportunities for professional training.
Possibilites of continuous training, a lot of activities and other benefits to discover.
At your disposal for further information
Mr. Prof. Mikhail KANEVSKI
Motivation letter, CV, list of publications, MS thesis and two recommendation letters should be sent in Word or PDF.
Only applications through this website will be taken into account.
We thank you for your understanding.
Seeking to promote an equitable representation of men and women among its staff, the University encourages applications from women.