Warning: this advert is not valid anymore. ()

Postdoc position: SMart Agriculture using Lasers and Artificial intelligence (SMALA)

Published
Workplace1260 Nyon, Lake Geneva region, Switzerland
Category
Position
DurationThe duration of the commitment is limited to two years
Job StartJune 1, 2023 or by arrangement.

Agroscope is looking for a:

Postdoc position: SMart Agriculture using Lasers and Artificial intelligence (SMALA)

The reduction of pesticide use in agriculture has become a major socio economic and environmental concern. Disease forecasting models based on weather data help the growers to spray when infection conditions are present but the information on the actual presence of the pathogen is often missing. The project SMALA aims to develop novel approaches and technologies, involving photonics, internet of things, and artificial intelligence in order to enable a real time detection of pathogen presence in the field and integrate this information in fore-casting models. The work will concentrate on fungal pathogens in vineyards (downy and powdery mildew). The project is the result of a collaboration between the Group of Applied Physics of the University of Geneva and the Mycology Group at Agroscope Changins/Nyon. The project is funded by the Bridge Discovery joint program of SNSF and Innosuisse.

About us

Agroscope is the Swiss federal centre of excellence for research in the agriculture and food sector. Its researchers carry out their work at a number of sites in Switzerland. Headquartered in Bern-Liebefeld (as of 2025: Posieux FR), Agroscope is attached to the Swiss Federal Department of Economic Affairs, Education and Research EAER.

Description

  • Integration of data of the spores real-time counting device in VitiMeteo model and comparison with current modelling output
  • Development of intervention thresholds and control strategies based on model output and real time spores quantification
  • Examine the possibilities to extend the spore quantification method for other crop and pathogens of interest
  • Help in the development of artificial intelligence approaches to specifically detect pathogen spores for other pathosystems
  • Supervision and support for the PhD student in the project

Requirements

  • PhD of science in biology, agronomy or environmental sciences with special interests in epidemiology, data analysis and numerical modelling of disease development
  • Knowledge and experience in disease modelling, aerobiology, microscopy, molecular biology techniques and R statistical is an advantage
  • Interest in multidisciplinary projects and able to work in the lab and in the fields
  • Autonomous and reliable way of working, ability to integrate into a research group and collaborate with other members of the project at Agroscope and the University of Geneva
  • Knowledge of two official Swiss language. Very good oral and written English skills.

We offer

We offer a varied job in a dynamic work environment, as well as thorough training and a modern research infrastructure. Flexible working hours and good social benefits are among the perks of this position.

Contact and Address

If you are interested in this position and fulfil the requirements, we look forward to receiving your online application including contact information of 2-3 referees on www.stelle.admin.ch, Ref.nr. 5464 (English is not an official Swiss language, please select German, French, or Italian as correspondence language).

Additional information can be obtained from Dr. Pierre-Henri Dubuis, Scientific collaborator, pierre-henri.dubuisagroscope.admin.ch , Tel. +41 58 460 43 52 (please do not send applications to this email address).

The Federal Administration is attentive to the different needs and backgrounds of its employees and promotes diversity. Equal treatment is a top priority.

Web

Warning: this advert is not valid anymore. ()
In your application, please refer to myScience.org and reference JobID 2561835.