Multidisciplinary Postdoctoral Fellowship: Join an innovative research team at the Integrated Science Lab (ICELab) in collaboration with Umeå University and SLU. Explore cutting-edge research projects at the intersection of various scientific disciplines.
Multidisciplinary Postdoctoral Fellowship in Environmental Sciences
- Designation: Postdoctoral Fellow
- Research Area: Environmental Sciences, Data Analytics, Computational Modeling, Biology, Ecology, Marine Sciences, and more.
- Location: Umeå University, Sweden
- Eligibility/Qualification:
- Hold a completed doctoral degree in relevant fields such as environmental sciences, biology, mathematics, or related areas.
- Proficiency in data analytics, modeling, programming, or equivalent.
- Experience in one or more of the listed research areas.
- Strong collaborative, analytical, and communication skills.
- Fluency in English.
- Job Description:
- Engage in multidisciplinary research projects in environmental sciences.
- Conduct data analysis, computational modeling, and empirical research.
- Collaborate with a team of researchers across disciplines.
- Contribute to innovative research initiatives and scientific collaboration.
- Publish research findings in academic journals.
- Participate in training and development activities.
- How to Apply:
- Submit a cover letter specifying your project interest(s), scientific background, and motivation (2 pages max).
- Include a detailed CV with publications list.
- Provide certified copies of academic degrees and relevant certifications.
- Attach copies of doctoral thesis and relevant publications.
- Include contact information for at least two references.
- Submit all documents as a PDF to medel@diarie.umu.se with the reference number FS 2.1.6-1263-24.
- Last Date for Apply: September 20, 2024
Don’t miss this exciting opportunity to be part of our multidisciplinary research team and contribute to groundbreaking research in environmental sciences at Umeå University! Apply now and embark on a rewarding postdoctoral fellowship experience.
