Open research software engineer position ( permanent )
Research software support for the BIOGEO team which investigates anthropogenic greenhouse gas emissions & the response of the land biosphere to human perturbations using open-source numerical models
Context:
The BIOGEO team is looking for an experienced and motivated Software Engineer who will support the team in simulating anthropogenic greenhouse gas emissions and the response of the land biosphere to human perturbations of the Earth System. The team develops and deploys mechanistic models and data driven models of the terrestrial biosphere based on deep learning, ground based and satellite data, for example the ORCHIDEE land surface model & hybrid approaches which combine strengths of artificial intelligence and mechanistic models. Over the next 5 years, a focus will be the international research project CALIPSO project founded by Schmidt Sciences which aims at leap forward in modelling carbon loss pathways in Earth System Models. While we cannot offer salaries like in the private sector, we offer meaningful work which benefits our planet & its inhabitants by means of open, rigorous, and transparent research (incl. software).
Mission
Improve and optimise the code of the ORCHIDEE model
Design and implementation of new methods incl. artificial intelligence, data-driven models, data-fusion, emulators, and hybrids thereof
help researchers to build models which are robust, resource-efficient, maintainable, extendable, usable, interpretable and sustainable;
supervision of IT technicians and students in support of the team's projects
contribute to publication of research output ( e.g. article, software, database)
attendance to workshop, trainings and conference
Profile:
master degree or engineering diploma in computer science, numerical modelling, machine learning or any other relevant field. PhD is a plus but not a requirement
Strong background in programming (e.g. FORTRAN, python )
Familiar leading and structuring implementation projects
experience in usage of high-computational infrastructure (e.g. parallelisation) & big data
communicate efficiently with the team on their needs and the projects you're involved in
like problem solving, you are autonomous, but want to work in a collaborative research environment.
are curious, enjoy learning and a research environment.
good oral and written English skills ( B2 level). French skills are an asset
Benefits:
Exciting and challenging tasks in an open, friendly and multicultural team
Excellent scientific infrastructure, research network, and computing environment
Training & support from Cambridge's Institute of Computing for Climate Science (for 5 year duration of CALIPSO project)
Location: Laboratoire des Sciences du Climat et de l'Environnement (Saclay, in the Orme des Merisiers green area). Remote friendly. LSCE Is a world-class research laboratory established and a collaboration between CEA, CNRS and the University of Versailles Saint-Quentin (UVSQ). The LSCE hosts approximately 300 researchers, engineers and administrative staff including many PhD and master's students.
Contract duration: permanent after probation period
Starting date: The position is available from now and will remain open until filled.
Salary: Salary, full social and health benefits, commensurate with work experience. The LSCE is a mixed unit and the employer is the Université de Versailles Saint-Quentin-en-Yvelines (UVSQ).
Main supervisor: Daniel Goll. Scientific lead of the BIOGEO team
Deadline for application: September 6th
How to apply: Applicants should submit a complete application package by email to the contact below. The application package should include (1) a curriculum vitae including e.g. important recent publications / projects / software, (2) statement of motivation which includes answers to the selection criteria above, (3) access to software you have developed [ preferably github repository ], (4) names, addresses, phone numbers, and email addresses of at least two references. Please name all files starting with NAME.FIRSTNAME_
Contact:
dsgoll123@gmail.com