Panic About Us Site Map Login Register 
European Academic and Research Jobs
Home
 
Job Search
 
Information
 
Login
 
Job Directory | Job Search | Advanced Job Search | Premier Jobs | Institute Profiles | Job Alerts 
Back to the previous page.

+Print
 

Assistant Professor (tenure track) in Geo-Environmental Data Science

Organisation's Logo
University of Lausanne

The Faculty of Geosciences and the Environment (FGSE) of the University of Lausanne invites applications for a professorship in geo-environmental data science, to be based in the Institute of Earth Surface Dynamics (IDYST).

We are looking for a scientist at the intersection of data science and geo-environmental science who complements current strengths of the FGSE.

We seek someone able to develop methods/algorithms (such as machine learning, geostatistics, geocomputing, geomodelling, etc.) and tailor them to particular large spatial/temporal datasets or big data.

As far as geo-environmental science, the person is expected to analyse and predict the dynamics of the earth surface-environmental system (such as hydrology, geomorphology, vegetation distribution, climate, environmental data time series, soils, etc.).

The appointed person will teach GIS along with other geo-environmental data science courses.

Exceptionally, we will consider outstanding candidates for direct appointment to the Associate Professor level, notably if this corresponds with our equal opportunity objectives.

Starting date: August 1st, 2021 (or to be agreed upon)
Contract length: 2 years renewable twice (6 years).
Tenure and promotion to the rank of Associate Professor expected after 5-6 years, leading to further contracts renewable every 6 years.
Activity rate: 100 %
Workplace: Lausanne campus (Géopolis building)

The successful candidate is expected to
i) develop a competitive research program within the Institute of Earth Surface Dynamics,
ii) teach courses in the Bachelor of Geosciences and Environment, and Masters programs taught by the FGSE, and,
iii) supervise masters and doctoral students.

Candidates must demonstrate a capacity to undertake quality research, to obtain competitive research funding, and to publish in peer-reviewed international research journals.

A demonstrated potential for teaching GIS, best practice programming skills, data science applied to geo-environmental problems, or algorithms is highly desirable.

In addition, the candidate has demonstrated potential for supervising master’s and doctoral theses.

Other useful information is available on the websites of the Faculty (www.unil.ch/gse) and the Institute of Earth Surface Dynamics

For further information, contact the Chair of the selection committee for this position: Christian Kull, Vice-Dean of the FGSE, and Professor in the Institute of Geography and Sustainability (christian.kull@unil.ch).

Application deadline: September 1st, 2020
(23:59 Swiss time GMT+2)

The PDF application must be shared in several documents not larger than 9.9 MB and can only be submitted through the online application form or https://www.unil.ch/central/en/home.html -> Careers at UNIL -> Emplois -> Postes ouverts -> English -> Keywords Data science.

and should include:

. a cover letter, addressed to the Dean, explaining the reasons for applying (max. 1 page);
. a full Curriculum Vitae, including previous employment and university training, the date and title of the doctoral thesis, publications, conference presentations / invited lectures, classes taught, and student research supervised;
. a research statement, describing the research the candidate intends to develop (max. 4 pages);
. a teaching statement, describing the candidate’s teaching approach, intentions for teaching and his or her potential contribution to our teaching programs (max. 2 pages);
. PDFs of the five most relevant publications;
. the names and contact information of five referees.

Status: Assistant Professor
Location: Lausanne, SWITZERLAND
Advert Published: 8 Jul 2020
Expiry date: 1 Sep 2020
University of Lausanne Ref. No.:
16162
Academic Jobs EU Ref. No.:
Please quote this number if applying for this job offline.
J21837
 

+Send this job to a friend.


+Tell a friend about us.

     Copyright 2018 Academic Jobs EU Ltd. All Rights Reserved  | Privacy Policy