PhD position "Forest treeline management in the Swiss Alps" — EPFL
CHF 60 500 - 91 500
EPFL · Sion (VS)
- Lieu
- Sion
- Contrat
- full-time
- Publié
- il y a 26 jours
SalaireCHF 60 500 - 91 500
Vue d’ensemble du poste
Mission We are offering a challenging position as a full-time (100%) PhD Student at EPFL Valais Wallis in Sion.
As a PhD student, you will develop new technology for forest treeline management in the Swiss Alps.
You will design artificial intelligence models to map the treeline evolution from high resolution remote sensing data and then expand on those results with ecological predictive models, projecting the treeline trends in the future using climatic and planning scenarios.
- Mission We are offering a challenging position as a full-time (100%) PhD Student at EPFL Valais Wallis in Sion.
- As a PhD student, you will develop new technology for forest treeline management in the Swiss Alps.
- Main duties and responsibilities
- Design deep learning-based methodologies for tree line mapping and analyze tree line dynamics in space and time
- If you do not yet have your Master’s diploma, please send a certificate issued by your current institution of higher education that confirms your enrolment in a Master’s program).
Responsabilités principales
- Main duties and responsibilities
- Design deep learning-based methodologies for tree line mapping and analyze tree line dynamics in space and time
- Forecast treeline potential evolution using ecological statistical and mechanistic models based on land-use and climate change scenarios
- Organize and run co-creation workshops with relevant stakeholders
- Develop tools for visualization and forest management Write publications
- Attend international conferences, both in ecology and remote sensing
- Participate in the educational activities of the ENAC faculty. Profile
- You have a master’s degree in environmental science and / or computer science
- You have experience with remote sensing, ecological modeling and population ecology
- You are proficient in Python coding and deep learning frameworks You are fluent in English
Exigences principales
- If you do not yet have your Master’s diploma, please send a certificate issued by your current institution of higher education that confirms your enrolment in a Master’s program).
Processus de candidature
- Informations The selection process involves multiple stages, and short-listed candidates will be requested to apply to a specific EPFL Doctoral Programs to qualify for a PhD at EPFL, i.e.
- Please note that this is a separate application process necessary to be eligible to complete your PhD at EPFL.
- To apply, please use the application link on this page. Your application must contain:
- A letter of interest explaining your motivation for the project and skills (max. 2 pages) An updated CV
Contacts
- Scans of your diplomas and grades from all academic institutions of higher education (after and not including high-school) listed in your CV.
- Copy of your passport or official identity document.
- (optional) a sample of your published work (if available), Master’s thesis or semester project.
- Contract Start Date: 09/01/2026 Activity Rate : 100.00 Contract Type: CDD Duration: 1 year (candidacy examination)+ up to 5 years Reference: 2222
Détails supplémentaires
- details of 3 reference persons.
- Develop tools for visualization and forest management Write publications
- Participate in the educational activities of the ENAC faculty.
- You are proficient in Python coding and deep learning frameworks You are fluent in English
- An opportunity to develop a scientific career in an exciting area of science A unique opportunity to learn high-end techniques and approaches
- To apply, please use the application link on this page. Your application must contain:
- A letter of interest explaining your motivation for the project and skills (max. 2 pages)
- Contact details of 3 reference persons.
Notes et contenu original
- Develop tools for visualization and forest management
- Write publications
- You are proficient in Python coding and deep learning frameworks
- You are fluent in English
- An opportunity to develop a scientific career in an exciting area of science
- A unique opportunity to learn high-end techniques and approaches
- To apply, please use the application link on this page.
- Your application must contain:
- An updated CV
