Uppsala University
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Postdoc in AI-guided mechanistic understanding of redox–dissolution pathways in multi-metal systems Uppsala universitet in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Temporary postdoctoral employment for 2 years according to central collective agreement, with possible extension for one more year depending on funding availability. Full-time (100%) position. Teaching may be included up to 20% of working hours. No stipend amount is stated.
Deadline
Sep 16, 2026
Country
Sweden
University
Uppsala University

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About this position
Postdoctoral position at Uppsala University, Sweden in AI-guided mechanistic understanding of coupled redox–dissolution pathways in multi-metal systems.
The project is hosted by the Department of Chemistry – Ångström Laboratory, Uppsala University, and focuses on inorganic chemistry, hydrometallurgy, battery recycling, redox chemistry, and data-driven modelling. The successful candidate will study how process signals such as pH, reduction potential, temperature, hydrogen peroxide consumption, and metal dissolution can reveal competing reaction pathways and kinetic regimes in multi-metal oxide systems.
The work combines controlled leaching experiments, real-time monitoring, chemical analysis, mechanistic and kinetic modelling, time-resolved data analysis, and machine learning. The project progresses from controlled laboratory systems to industrially relevant black masses from battery recycling, and includes collaboration with two industrial partners plus a research stay of up to three months at a collaborating university in Finland.
Eligibility: a PhD degree or equivalent in Chemistry, Chemical Engineering, Materials Science, Metallurgical Engineering, Process Engineering, Data Science, or a related field is required by the time of employment decision. Applicants who earned the PhD within the last three years are primarily considered. Very good oral and written English is required. Strong collaboration skills, independence, and scientific quality are emphasized.
Desirable experience: machine learning or data-driven modelling, Python, mechanistic or kinetic modelling, hydrometallurgical leaching, electrochemistry, reaction kinetics, real-time process monitoring, multi-component chemical systems, battery materials, and analytical methods such as ICP-OES/ICP-MS, XRD, or SEM-EDS.
Employment: temporary postdoctoral position for 2 years, full-time, with possible extension for one additional year depending on funding. Teaching may account for up to 20% of working hours. Start date is 2026-11-01 or as agreed. Placement is Uppsala, Sweden.
How to apply: submit the application via the Uppsala University Varbi portal. Include a CV, degree certificates, and grades. Deadline: 16 September 2026 at 21:59 UTC.
Funding details
Temporary postdoctoral employment for 2 years according to central collective agreement, with possible extension for one more year depending on funding availability. Full-time (100%) position. Teaching may be included up to 20% of working hours. No stipend amount is stated.
What's required
PhD degree or equivalent in Chemistry, Chemical Engineering, Materials Science, Metallurgical Engineering, Process Engineering, Data Science, or a related field by the time of employment decision. Applicants who obtained the PhD within the last three years are primarily considered, with possible extensions for special circumstances. Very good oral and written English is required. Desirable experience includes machine learning or data-driven modelling, Python or similar tools, mechanistic or kinetic modelling, hydrometallurgical leaching, redox chemistry, electrochemistry, reaction kinetics, real-time process monitoring, multi-component chemical systems or battery materials, and analytical techniques such as ICP-OES/ICP-MS, XRD, or SEM-EDS. Strong collaboration skills, independence, and suitability for a small, highly productive research group are important.
How to apply
Submit the application through the Uppsala University Varbi portal. Include a CV, copies of degree certificates and grades. Apply by 16 September 2026, 21:59 UTC.
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