Uppsala Universitet

Research Assistant

Informationsteknologi

Uppsala, Sweden

Publicerad: 14/08/2026

Heltid

Utgår den 14/08/2026

Jobbeskrivning

**Research Assistant**

Do you want to work with the application of artificial intelligence (AI) for hydrological modeling and prediction, with the support of competent and friendly colleagues in an international environment? Do you want an employer that invests in sustainable employment and offers safe, favorable working conditions? Welcome to apply for employment as a research assistant at Uppsala University.

**The Department of Earth Sciences** is Sweden's most comprehensive academic environment for research and education in geoscience. It offers a broad range of expertise that can contribute to solving important societal issues.

Earth is a dynamic and constantly changing planet. To understand how this planet works, our researchers seek answers in the field, through laboratory experiments and advanced models. Our research and education cover a wide range of disciplines, including rocks and minerals, weather and climate, the evolution of life, natural disasters, wind power and energy, environmental and water engineering, and sustainable development.

Our research combines natural sciences and technology with social sciences and is often interdisciplinary. More than 300 people from over 30 countries work at the department, both in Uppsala and at Campus Gotland.

Our six research divisions:

• Geophysics • Air, Water and Landscape Science • Mineralogy, Petrology and Tectonics • Natural Resources and Sustainable Development • Palaeobiology • Wind Energy

For more information see: https://www.uu.se/en/department/earth-sciences

The research assistant position is part of a seed project at the intersection of AI and geosciences supported by Uppsala University"s Institute for the Future (UUniFI). The successful applicant will be employed at the Department of Geosciences but will also work extensively with collaborators at the Department of Information Technology.

**Job duties**

The research tasks include the application of long short-term memory models, transformer models and potentially other deep learning tools and techniques to improve and characterize flow predictions in watercourses across Sweden. Specific research tasks that can be expected include preprocessing large data sets for analysis, reading and summarizing relevant scientific literature, writing and manipulating code in Python, handling computationally intensive computational processes, preparing and interpreting visualizations of code output, and quantifying the uncertainty associated with predictions. Other important tasks include communication tasks, including coordination with team members and preparation of figures and text for journal articles and grant applications. The successful applicant is also expected to participate in UUniFI meetings for the funded project groups.

**Qualification requirements**
Applicants should have a Bachelor´s or Master´s degree in engineering, geoscience, information technology, or a related discipline. Applicants should demonstrate coding skills in Python, with coursework and/or research experience in the use of long short-term memory models, transformer models, and/or related tools. Applicants should also have formal training and/or research in hydrology. Previous research experience, leading to a poster, publication, or dissertation, is a requirement. In addition, applicants are expected to demonstrate excellent oral and written communication skills in English and strong interpersonal skills that support collaborative activities.

**Desirable/meritorious in other respects**
Additional desirable qualifications include practical knowledge of best practices in reproducible data analysis, experience in handling and curating large amounts of data, and experience in uncertainty analysis.

**About the employment**
The employment is for 4.5 months . The scope is full-time/100 %. Entry date September 15, 2026 or by agreement. Location: Uppsala

**Information about the position can be obtained from:** Dr. Laurel Larsen, +46 767027427, laurel.larsen@geo.uu.se

In this recruitment, we have replaced the personal letter with questions that you answer in connection with your application. The answers will be used as part of the selection process *.*

**Welcome with your application no later than 28** ***August*** ***2026,*** **UFV-PA** ***2026/2444*** **.**

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it"s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces. Read more about our benefits and what it is like to work at Uppsala Universityhttps://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security vetting. If security vetting is conducted, the applicant must pass the vetting process to be eligible for employment. Please do not send offers of recruitment or advertising services. Submit your application through Uppsala University's recruitment system.

Anställningsform: tidsbegränsad anställning | Anställningens omfattning: heltid | Antal lediga befattningar: 1 | Sysselsättningsgrad: 100 | Ort: Uppsala | Län: Uppsala län | Land: Sweden | Referensnummer: UFV-PA 2026/2444 | Kontakt: Laurel Larsen , | Publicerat: 2026-08-14 | Sista ansökningsdag: 2026-08-28

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14/08/2026

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Uppsala, Sweden

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14/08/2026

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