Job title:
Postdoctor in Biodiversity, Remote sensing and AI
Reference number PAR 2025/130
Responsibilities:
At the Department of Biological and Environmental Sciences (BioEnv) at the University of Gothenburg, you will be part of a multidisciplinary team working on methods to predict biodiversity and carbon recovery in tropical forests, integrating remote sensing, ground-truthing, and AI models. You will analyze and model high-resolution carbon and biodiversity data from sites in southeastern Brazil and southwestern Costa Rica, exploring different land-use categories and stages of ecosystem restoration.
You will implement and optimize data analysis and model frameworks using an interpretable AI approach to:
- Identify cost-effective ways of measuring carbon and biodiversity at scale
- Test the relative importance of stochastic vs deterministic factors in predicting carbon sequestration and biodiversity recovery
- Identify the optimal combination of restoration sites and methods to maximize biodiversity and carbon storage under limited budgets
You will also collaborate with international research groups, including study visits to ETH Zurich to optimize computational models. Co-supervision of students and optional teaching (up to 20%) may be part of the role.
Requirements:
- A doctoral degree in bioinformatics, biodiversity science (with a strong analytical component), computational biology, or a related field
- Advanced programming skills in R or Python
- Proven experience developing and applying machine learning models
- A strong track record of scientific publications
- Ability to work both independently and in a diverse team environment
- Excellent written and spoken English
Desirable qualifications:
- Teaching and mentoring experience
- Fieldwork experience (e.g., biodiversity surveys)
Personal qualifications:
You should be constructive, flexible, and cooperative, with strong organizational and communication skills. You must be comfortable asking for guidance as needed, as well as supporting others. You will present your work regularly and collaborate across multiple locations.
Location:
This position is based at the Department of Biological and Environmental Sciences in Natrium at Medicinaregatan 7B, Gothenburg, Sweden.
How to apply:
Submit your application through the University of Gothenburg’s recruitment portal by clicking the “Apply” button in the original job posting. Your application must include:
- A cover letter explaining how you meet the selection criteria
- A list of qualifications (full CV)
- A short essay (about half a page + references) on how remote-sensed and ground-based data can be integrated to predict biodiversity in tropical forests
- A complete list of publications (including submitted and accepted manuscripts)
- Links to your GitHub or other code repositories
- Certificate of PhD exam
Applications must be received by March 17th, 2025.
Contact details:
For questions regarding the position:
-
Alexandre Antonelli, Professor
Email: a.antonelli@kew.org
Webpage: https://antonelli-lab.net/ -
Åsa Arrhenius, Head of Department
Phone: +46 31 786 26 25
Email: asa.arrhenius@bioenv.gu.se
For questions about the employment process:
- HR at the Department of Biological and Environmental Science: hr@bioenv.gu.se
