PhD Opportunities in Optimisation in Sweden

The Department of Engineering Science at the University of Skövde offers a creative and collaborative research environment with modern facilities, strong industrial links, and a track record of applied research and high-quality education. The successful doctoral student will join a team whose work is relevant to industry, society, and academia, and will be based in the area of information technology as defined by the university. This PhD project focuses on smart grids in the context of industria...

Linköping University is offering a PhD position in communication-efficient distributed inference within the project “Communication-Efficient Synchronization of Predictions for Distributed Intelligent Systems (CESP),” funded by the Swedish Research Council. The research aims to establish theoretical foundations for communication-efficient cooperation among distributed predictive agents. The project focuses on synchronizing predictions when agents operate with mismatched local contexts and models,...

This PhD position is part of a research group in scalable and secure distributed inference at Linköping University, Sweden. The project focuses on communication-efficient synchronization of predictions for distributed intelligent systems, where multiple predictive agents must cooperate and make robust decisions despite having different local contexts and models. The work combines ideas from information and communication theory, signal processing, and statistical learning. A central theme is how ...

This doctoral project focuses on developing methods to integrate animal welfare and antibiotic use into sustainability assessments of foods, meals, and dietary patterns. The work sits at the intersection of food systems sustainability, life cycle assessment, and decision support, with the goal of creating credible and transparent information for choices in production, procurement, dietary guidance, and menu planning. The doctoral student will join the research group for sustainable food systems ...

KTH Royal Institute of Technology is seeking a doctoral student for a research project on energy-efficient cooling and overheating mitigation in elderly care homes in Stockholm, Sweden. The project addresses the challenge of maintaining thermal comfort and safe indoor conditions for elderly residents while improving the energy efficiency of building cooling systems. The research is especially relevant to HVAC design, building energy systems, building physics, sustainable buildings, and the optim...

This PhD position is based at the Department of Electrical Engineering at Uppsala University , within the Division of Signals and Systems at the Ångström Laboratory. The project, Multi-Modal Environment Modeling for Wireless Spatial Intelligence , sits at the intersection of wireless communications, signal processing, AI, and sensing. The research aims to move future wireless networks beyond data transmission toward systems that can also perceive and understand the physical world. The doctoral p...

This doctoral project at KTH Royal Institute of Technology focuses on energy- and cost-efficient cooling for elderly homes in current and future climates. The research combines measurements, calibrated simulations, and techno-economic analysis to evaluate practical solutions for climate-resilient design and operation. The project looks at how different measures can reduce overheating risk and improve indoor conditions in residential care environments. You will study options such as shading, enve...

KTH Royal Institute of Technology is seeking a doctoral student to join FLOW, a strong research community in the Department of Engineering Mechanics. The position sits within the Fluids and Surfaces Group and is centered on probabilistic machine learning for fluid mechanics . The project develops trustworthy probabilistic methods for inference, optimization, and data assimilation in fluid systems. A key aim is to combine simulations with experimental data to build reliable tools for the design, ...

Doctoral Student in Machine Learning for Quantum Error Correction at Chalmers University of Technology in Gothenburg, Sweden. This PhD project sits at the intersection of machine learning , quantum error correction , quantum computing , coding theory , and information theory . The goal is to develop learning-based decoders that are fast, scalable, and compatible with the strict latency and hardware constraints of practical quantum systems. The project is part of QuBriC , a European Marie Skłodow...