Uppsala University
Just Landed
New Today
Post-doctoral researcher in Industrial Engineering and Management, specializing in energy flexibility in industrial operations Uppsala University in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Two-year full-time temporary post-doctoral position; co-financed by the Swedish Energy Agency through the RESILIENT competence centre.
Deadline
Nov 27, 2026
Country
Sweden
University
Uppsala University
Apply for this position
Keywords
Suggested positions
Mid Sweden University
Sweden
3 days ago
Mid Sweden University and Permobil are offering an industrial PhD position in applied artificial intelligence and advanced data analytics. The project is based in Sundsvall, Sweden, and is designed around real industrial needs, with the doctoral candidate working on how AI can create value from operational and product data. The research focuses on developing, testing, and evaluating AI-driven methods in an industrial environment. Possible application areas mentioned in the advert include industr...
3 days ago
University of Skövde
Sweden
2 weeks ago
Fully funded PhD position at the University of Skövde in AI-driven simulation and optimization in manufacturing . This opportunity is aimed at candidates interested in combining artificial intelligence , simulation , optimization , and manufacturing research. The post is shared by Masood Fathi , Associate Professor at the University of Skövde. The announcement highlights a fully funded PhD opening, making it attractive for applicants seeking doctoral study with financial support. Research areas:...
2 weeks ago
Emrah Karakaya
KTH Royal Institute of Technology
Sweden
New Today
KTH Royal Institute of Technology is recruiting a PhD student to study the organizational implications of artificial intelligence . The project examines how artificial intelligence affects organizations, work, management, and organizational practices. The doctoral researcher will contribute to research on the relationship between AI and organizations in an academic environment at KTH, working within a research setting that connects emerging digital technologies with organizational analysis. The ...
New Today
Chalmers University of Technology
Sweden
6 days ago
Chalmers University of Technology in Gothenburg, Sweden, invites applications for a fully funded doctoral student position in AI-powered Asset Health Indices for Smart Maintenance. The project is based in the Division of Production Systems within the Department of Mechanical Engineering. The doctoral researcher will develop and evaluate artificial intelligence methods that combine heterogeneous condition data, maintenance information, operational data, and expert knowledge into transparent indic...
6 days ago
Uppsala University
Sweden
4 days ago
Uppsala University is recruiting a postdoctoral researcher in digital twins for resilient microgrids at the Division of Electricity, Department of Electrical Engineering, in Uppsala, Sweden. The 24-month, full-time position contributes to a collaboration with KTH – the Royal Institute of Technology and the City of Uppsala focused on strengthening energy security in a new urban district. The project will develop a digital twin of a solar-based local microgrid and its digital infrastructure. Resea...
4 days ago
About this position
This post-doctoral position sits within RESILIENT, a national competence centre for resilient energy systems co-financed by the Swedish Energy Agency and carried out in close collaboration with Scania. The project examines how manufacturing companies can use electricity more flexibly in response to renewable and variable power systems, helping to reduce costs, support the grid, and ease local constraints while maintaining productivity.
The research is based at the Division of Industrial Engineering and Management in the Department of Civil and Industrial Engineering at Uppsala University. The department works across the Ångström Laboratory in Uppsala and Campus Gotland, while this position is located in Uppsala. The division focuses on value creation across the life cycle of technology-intensive products, services, and related systems.
The project combines operational and strategic perspectives on industrial energy flexibility. On the operational side, the research may investigate how production planning, scheduling, and control can become more energy-aware. On the strategic side, it may explore how flexibility can be integrated into operations strategy, decision-making processes, and business models.
The exact research questions will be developed jointly with Scania during the initial phase of the project, giving the recruited researcher room to help shape the direction of the work. Depending on the industrial case and the candidate’s profile, the work may draw on data analytics, simulation, digital twins, optimization, AI-based decision support, case study research, and mixed methods. The role is designed for someone who enjoys problem-driven research at the interface of academia and industry and who wants to contribute both scientifically and in practical industrial collaboration.
The post involves research as the main duty, with some teaching, and includes planning and carrying out sub-studies, analysing production and energy data, developing models and decision support for energy-flexible operations, and working with partners in the RESILIENT centre through workshops, case studies, and dissemination to industry.
Funding details
Two-year full-time temporary post-doctoral position; co-financed by the Swedish Energy Agency through the RESILIENT competence centre.
What's required
A PhD in industrial engineering and management, operations management, production engineering, energy systems engineering, computer science, or another related engineering science or interdisciplinary discipline, or an equivalent foreign degree. Applicants should have very good knowledge and experience in at least one relevant area such as operations management, production planning and control, modeling and simulation of production systems, optimization, or data analysis applied to industrial or energy data. Good analytical skills and documented empirical research experience are required, preferably including quantitative analysis such as statistical or time-series analysis. Candidates must have good collaboration skills, the ability to communicate with both academic and industrial audiences, and very good English skills, oral and written. The degree must be completed by the employment decision date, and preference is given to those who completed it within the last three years; special reasons may apply for older degrees. Meritorious qualifications include publications in highly ranked journals, independent research and grant-writing experience, industrial collaboration, case study or other empirical research in industrial settings, knowledge of industrial energy flexibility or related markets, techno-economic and strategic analysis, simulation/optimization/AI decision support, Python, and Swedish.
How to apply
Apply through the Varbi application link. Answer the questions in the portal and attach your CV plus a copy of your doctoral degree, or documentation showing that you have applied for the doctoral degree. Submit the application by 27 November 2026.
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.