Postdoctoral Fellowship (41) at KTH Royal Institute of Technology, Stockholm, Sweden

Nuclear Science and Engineering (NSE) at the Department of Physics seeks an ambitious, motivated, structured, and collaborative postdoc to join the nuclear fuel materials team to study fission product kinetics by ion implantation of advanced nuclear fuel (Uranium Nitride). The project is supported by the Swedish Radiation Safety Authority (https://www.stralsakerhetsmyndigheten.se/) and in collaboration with Westinghouse and Uppsala University. You will lead research efforts using experimental and computational methods to evaluate the fission product diffusion kinetics and the formation of the high burnup structure (HBS) in uranium nitride

Oxygenated organic radicals are key drivers of the chemistry in many systems, such as the metabolism of living organisms, polymerisation, combustion systems, and the natural environment (Earth’s atmosphere). But very few techniques are available to detect them today. We are seeking a highly-motivated researcher to work on the development and application of a mass spectrometric technique (proton transfer mass spectrometer, PTr-MS) to the detection of individual oxygenated organic radicals in ambient air, as part of the prestigious European Research Council (ERC) Advanced project EPHEMERAL. The work will include the characterization and optimization of a state-of-the-art Time-of-flight mass spectrometer (PTr-MS) and other instruments to detect these radicals in laboratory and ambient air. This position will be in the Nozière group at the Department of Chemistry of KTH Royal Institute of Technology, Stockholm, Sweden.

Oxygenated organic radicals are key drivers of the chemistry in many systems, such as the metabolism of living organisms, polymerisation, combustion systems, and the natural environment (Earth’s atmosphere). But very few techniques can detect them today, especially in complex systems. We are seeking a highly motivated candidate to develop and apply global detection techniques for oxygenated radicals in ambient air and other complex systems. The work will include both the operation and troubleshooting of existing techniques, such as chemical amplification, and the development and characterization of entirely new techniques, to be used both in laboratory and in ambient air. This position will be in the Nozière group at the Department of Chemistry of KTH Royal Institute of Technology, Stockholm, Sweden.

AI is rapidly becoming the primary author of the world’s software. Today’s models generate code at a speed no human can match — but how can we trust code we did not write ourselves? Formal verification offers a path to mathematically guaranteed correctness, yet combining it with AI-based code generation raises deep and largely unsolved challenges.

As a postdoctoral researcher, you will tackle exactly this question: how to generate code with AI and formally verify that it does what it should. Your work will combine modern AI/LLM-based code generation with formal methods to produce software that is both fast to create and provably trustworthy.

The position is part of SAFIR (Secure AI for Intelligent Resilience and Confidentiality in the Cloud), a EUR 2.5M collaborative project between KTH, Saab, Nvidia, Ericsson, Red Hat, CanaryBit and RISE, building next-generation secure and dependable AI for critical domains such as telecom, defence and cloud. You will join the Machine-Intelligence for Networks and Distributed Systems (MINDS) research group at the Department of Computing and Learning Systems, School of Electrical Engineering and Computer Science (EECS), in an international and dynamic environment with strong academic and industrial collaborations. You will have access to international supercomputing resources and a state-of-the-art in-house lab equipped with NVIDIA H100 and A100 GPUs and ten NVIDIA RTX Pro 6000 GPUs.

We are seeking a highly motivated postdoctoral to join the Fluids and Surfaces Group at KTH. The position offers the opportunity to develop an independent research profile within a broad range of topics, including turbulence, multiphase flows, interfacial phenomena, biofilms, surface engineering, computational fluid dynamics, and scientific machine learning.

The research direction will be adapted to the successful candidate’s expertise and interests. You will work closely with a dynamic team of PhD students and researchers and have access to unique experimental platforms, advanced numerical simulation tools, and high-performance computing resources. The position is supported by an ERC-funded research program, providing excellent opportunities to pursue ambitious research questions and establish international collaborations.

Your main duties will be to conduct high-quality research, publish in leading journals, contribute to the development of new research directions, and support the supervision of doctoral and master’s students. Depending on your background, the work may involve experiments, direct numerical simulations, theoretical modelling, data-driven methods, or combinations thereof.

The FLOW center offers an internationally recognized research environment with strong expertise in fluid mechanics and applied mathematics. The division maintains extensive collaborations with leading academic institutions and industrial partners worldwide.

This position is particularly suitable for candidates who enjoy scientific challenges, value intellectual freedom, and wish to contribute to the development of next-generation approaches for understanding and controlling complex fluid systems.

The position focus on experimental and computational fracture mechanics. A central issue in the work includes experimental testing of mini-CT specimens combined with numerical modeling. The main objective is to improve existing methods for characterizing crack growth resistance in ductile materials. Use of sub-sized specimens in assessment of structural integrity is an area under strong development and includes issues such as geometry effects as well as transferability of laboratory results to actual components.

The outcome of the project is foreseen to be an integrated testing and computational methodology that can be standardized according to regulatory perspectives. You will work in a research environment together with other researchers focused on material and fracture mechanics problems related to metals of interest to the process industry, where parts of the project will be carried out in collaboration with the Swedish nuclear industry.

We are looking for a postdoctoral fellow who wants to contribute to the next generation of energy-efficient and sustainable transport systems through world-class research in tribology and machine elements.

Friction losses in vehicle systems still account for a significant portion of global energy use. In heavy vehicles alone, around 180 billion liters of fuel are consumed annually due to friction, while the transport sector is facing significantly stricter climate requirements. The EU’s target of a 90% reduction in CO₂ emissions from new heavy vehicles by 2040 places completely new demands on energy efficiency and innovative technical solutions.

In this project, the focus is on an often overlooked but very promising component: grease-lubricated wheel bearing systems. The project aims to develop and implement a systematic and realistic method for evaluating new grease formulations, using a specially developed test rig that will be designed and built specifically for this purpose.

The project is carried out in close collaboration with leading players along the entire value chain, including Traton/Scania, Europe’s leading grease manufacturer Axel Christiernsson International and KTH. The successful candidate will have a unique opportunity to work at the interface between academic research and industrial application, with direct potential to contribute to future sustainable transport solutions.

This position is part of KTH’s PROCEED initiative for research activities in Södertälje, which provides a unique opportunity for research collaboration with Traton/Scania and AstraZeneca. To enable close collaboration and collaboration, regular physical presence in Södertälje is included as an important part of the position. The position offers good opportunities to build a strong international network, develop your own research and contribute to the green transition of the industry.

We are looking for a postdoctoral fellow who wants to contribute to the sustainable and digitalized production systems of the future through research in close collaboration with industry.

The project focuses on the development of digital activation and automation of material flows within warehouse and internal logistics in the pharmaceutical industry. The goal is to improve material visibility, traceability and information management to create more efficient, resilient and sustainable production systems.

The position offers a unique opportunity to work at the interface between academia and industry through close collaboration with AstraZeneca. The research includes the development of design guidelines for automation-ready production logistics, standardized information flows and future logistics solutions in real production environments. The successful candidate will conduct empirical research on site at AstraZeneca in Södertälje, publish in leading scientific journals and develop new research initiatives together with a strong research team at KTH and industrial partners.

This position is part of KTH’s PROCEED initiative for research activities in Södertälje, which provides a unique opportunity for research collaboration with Traton/Scania and AstraZeneca. To expect close collaboration and collaboration, regular physical presence in Södertälje is included and an important part of the position. The position offers good opportunities to build a strong international network, develop your own research and contribute to the green transition of industry.

We are looking for a postdoctoral fellow who wants to contribute to the transition towards the circular industry of the future through research into circular manufacturing systems and resource-efficient production solutions.

The research is conducted at the Department of Production Engineering at KTH and aims to support the manufacturing industry’s transition from linear to circular value chains. The project is based on a life cycle perspective where products, components and materials retain their value through reuse, remanufacturing and reintegration into production.

The position mainly involves further developing the research from the iReGear project in close collaboration with TRATON Group R&D. The focus is on how remanufactured transmission components can be integrated into production systems for new heavy vehicles and how circularity can be scaled up in industrial applications. The work includes analysis and development of component and material flows and identification of opportunities for reuse, reprocessing and remanufacturing, while taking technical, quality and operational requirements into account. The candidate is also expected to contribute to other ongoing and upcoming research initiatives.This position is part of KTH’s PROCEED initiative for research activities in Södertälje, which provides a unique opportunity for research collaboration with Traton/Scania and AstraZeneca. To enable close collaboration and collaboration, regular physical presence in Södertälje is included as an important part of the position. The position offers good opportunities to build a strong international network, develop your own research and contribute to the green transition of industry.

We are looking for a postdoctoral fellow who wants to contribute to the transition towards more circular and resilient industrial systems through research on industrial ecosystems, collaboration and sustainable transformation in the manufacturing industry.

The project is carried out in close collaboration with the Sustainability Technologies Innovation Centre in Södertälje and its main actors AstraZeneca, Scania and RISE, with a particular empirical anchoring at AstraZeneca. The research combines scientific analysis with active development of the platform’s long-term adaptation capacity.

The focus is on how industrial ecosystems can be organized and mobilized to enable circular transition in mature manufacturing systems. Central research questions concern cross-company collaboration, Scope 3 challenges, supplier relationships, industrial symbiosis, resource flows, transparency mechanisms and circular business models. The work includes independent research, empirical case studies and analysis of industrial networks and forms of collaboration. In close dialogue with industrial and public actors, the postdoctoral fellow will develop and test research-based models and methods in real industrial environments.

The position is part of KTH’s PROCEED initiative in Södertälje, which creates an internationally attractive research environment in close collaboration with Traton/Scania and AstraZeneca. Regular presence in Södertälje is a central part of the position. We are looking for an analytically strong and curious researcher with an interest in theoretically based and applied research on industrial transformation.

We are looking for a postdoctoral fellow who wants to contribute to the development of the circular industry of the future through research on innovation, resource flows and industrial ecosystems. The position offers a unique opportunity to combine scientific research with close collaboration with leading industrial companies in the transition towards more sustainable and resilient value chains.

The research focuses on how established companies can develop system-building innovations for circular resource flows and longer product lifespans. Central research questions concern innovation processes, obstacles and opportunities for circular business models, and collaboration between companies, decision-makers and other actors in innovation ecosystems. Particular interest is directed at how strategies for circular resource flows affect both innovation work and actual material and product flows.

The project includes empirical studies and development of research-based guidelines and tools for organizations. AI support for reverse logistics, decision-making and value creation in circular systems constitutes an important research area. The research relates to innovation management and management and organization of product development, including processes and methodology.

The position is part of KTH’s PROCEED initiative in Södertälje, which creates a unique environment for research collaboration with Traton/Scania and AstraZeneca. Regular physical presence in Södertälje is an important part of the position to enable close collaboration with industrial partners.

The Swedish National Genomics Infrastructure is looking for a postdoctoral researcher for a project aiming to leverage state-of-the-art genomics to study links between gene regulatory variants, chromatin organization and transcription. The project will combine hands-on genomics, technology development and computational biology.

The project will be conducted at the interphase between the National Genomics Infrastructure and the research groups of Professor Tuuli Lappalainen and Associate professor Robert Månsson. This bring together, state-of-the-art genomics platforms, international forefront of functional genomics, molecular biology and experimental hematology.

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Postdoc in AI-driven road network performance prediction and maintenance.

Deadline : 20.Aug.2026

View details & Apply

Are you a highly motivated researcher with a passion for HPC and a drive to solve complex scientific challenges? Do you thrive in an R&D environment where your ideas and the software you write directly impact cutting-edge research?

We are seeking  postdocs as an HPC software scientist at the scientific software unit at KTH Center for Scientific Computing (KCSC). The position is funded by SSF within the SEESSI initiative, which aims to ready Sweden’s flagship codes in molecular dynamics, computational fluid dynamics, and quantum chemistry for next-generation hardware.

You will join a project team of HPC software scientists at KCSC collaborating closely with and driving real-world impact across three of Sweden’s flagship HPC codes: GROMACS (one of the world’s most widely used molecular dynamics packages), Neko (a highly scalable CFD framework nominated for the ACM Gordon Bell prize in 2023), and VeloxChem (a versatile open-source quantum chemistry software).

As a postdoctoral researcher, your primary focus will be to pioneer innovative, technology-aware algorithmic techniques targeting these codes. Our aim goes beyond raw performance tuning; we use a multi-disciplinary approach to redesign key algorithms for modern HPC architectures while establishing energy efficiency as a critical design metric.

We are looking for a postdoctoral fellow to work on development of experimental methods for two-phase flows. We aim to develop a probe for measurement of void fraction and velocity at prototypic reactor conditions. The work includes development of methods for manufacturing miniature sensors and using these sensors in the HWAT facility. The HWAT facility was developed to study thermohydraulic phenomena relevant to small modular reactors (SMRs). The work is a part of a collaborative project in Europe and national project supported by Swedish nuclear regulator (SSM).

We are looking for postdoctoral fellows to contribute to several projects related to thermohydraulics and safety of small modular reactors (SMRs). The work will include analysis in support of design and development of large-scale experimental facilities to be constructed and operated at KTH and Oskarshamn. Different facilities will be designed to address important thermohydraulic phenomena relevant to both water and liquid lead cooled SMRs. The work will be a part of national projects supported by Swedish Energy Agency and has strong links with collaborative projects in Europe.

Next leap in the battery development is expected to be the lithium solid-state batteries (SSB), allowing the replacement of the flammable organic electrolyte in Li-ion batteries with a safer and a more compact solid electrolyte. Within the framework of the Swedish governmental battery initiative COMPEL, aimed to support competence and excellence in battery research and education for the transport sector, KTH join forces with a coordinated initiative on composite SSB with seven postdoctoral positions in several disciplines, focusing on various aspects along the battery value chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoc project Electrochemical properties of solid-state batteries and analysis of interactions between its different components will be shared between Depts Chemical Engineering (Div Applied Electrochemistry) and Chemistry (Div. Applied Physical Chemistry). The project will focus on electrochemical and chemical evaluation of components and cells with materials produced in parallel postdoc projects in the initiative. The research aims to gain a deeper understanding of the structure / performance relationship of the developed electrolytes and interactions between the electrode materials and electrolyte, the conduction mechanism, degradation and the relationship between manufacturing process and materials properties. The analysis relies on combining electrochemical methods, such as electrochemical impedance spectroscopy, with for instance nuclear magnetic resonance spectroscopy (NMR), electron microscopy (SEM/TEM), Raman and in situ mass spectrometry (OLMS).

Next leap in the battery development is expected to be the lithium solid-state batteries (SSB), allowing the replacement of the flammable organic electrolyte in Li-ion batteries with a safer and a more compact solid electrolyte. Within the framework of the Swedish governmental battery initiative COMPEL, aimed to support competence and excellence in battery research and education for the transport sector, KTH join forces with a coordinated initiative on composite SSB with seven postdoctoral positions in several disciplines, focusing on various aspects along the battery value chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project on Precision Manufacturing for scalable production of Solid-State Batteries will be conducted within the Dept. Production Engineering. The project offers the opportunity to conduct interdisciplinary research at the interface of precision manufacturing and metrology, production engineering, and digital manufacturing, applied on solid-state batteries. The project focuses on investigating how manufacturing precision and integrated metrology can reduce process variability, minimize process-induced errors, and improve production robustness and how sources of variation arise and propagate throughout the manufacturing process chain, from equipment performance and component processing to cell assembly, and how they can be characterized, quantified, and controlled. A central objective is to develop measurement-based methodologies that establish the relationship between manufacturing precision, process capability, and product quality. Precision metrology and inline quality assurance will be used to identify critical process parameters, understand error sources, and define manufacturing tolerances that support robust production. Advanced measurement and non-destructive evaluation techniques, including optical and laser-based metrology, industrial X-ray computed tomography (CT), and ultrasonic sensing, will be used to monitor process stability and detect defects at different stages of manufacturing. The resulting measurement data may be combined with process models and digital engineering tools to support tolerance engineering, process analysis, and continuous improvement. The expected outcomes include new methods for reducing manufacturing variability, improving process capability, and enabling the reliable industrial scale-up of solid-state battery production.

Next leap in the battery development is expected to be the lithium solid-state batteries (SSB), allowing the replacement of the flammable organic electrolyte in Li-ion batteries with a safer and a more compact solid electrolyte. Within the framework of the Swedish governmental battery initiative COMPEL, aimed to support competence and excellence in battery research and education for the transport sector, KTH join forces with a coordinated initiative on composite SSB with seven postdoctoral positions in several disciplines, focusing on various aspects along the battery value chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control of Solid-State Batteries will be hosted by the Department of Decision and Control Systems, EECS. The project will focus on the development of reduced-order electro-chemo-mechanical models, state estimation methods and predictive control strategies for solid-state batteries using data from parallel postdoctoral projects within the initiative. The research aims to improve the understanding of how operating conditions, including charging protocols, temperature and mechanical loading, influence battery performance, degradation and lifetime. The work combines physics-based modelling with machine learning for parameter estimation, degradation prediction, and analysis of electrochemical and structural characterization data, including X-ray CT image reconstruction, segmentation and quantitative microstructure analysis, with the long-term goal of enabling health-aware battery management and optimized charging strategies.

Mimer AI Factory (https://mimer-ai.eu/) aims to advance innovation, accelerate the adoption of AI, and position Europe as a global leader in AI. We provide access to AI-optimized supercomputers and services such as training and support for SMEs, startups, researchers, and government agencies.

You will primarily work in the Scientific Services Group at KCSC (formerly PDC). Your responsibilities will include facilitating, developing, and strengthening national AI/ML user support. In this role, you will collaborate with staff at KTH, RISE, and NAISS partner universities.

The applicant will also participate in research activities within the NAISS infrastructure, contributing to the advancement of AI/ML capabilities in Sweden.

The advertised post-doctoral position is within an ambitious, 5-year Wallenberg Scholar project titled “Scalable and adaptive inferencing for democratizing AI”. In this 18 Million SEK project, we want to dramatically reduce the cost and power for serving large language models such as ChatGPT. More project information and our project page with early publications.

The work will primarily entail design, implementation, and evaluation of distributed systems and networks for machine learning inference. Applying machine learning concepts, with the goal of devising agentic frameworks, will also be a part of the project.

As a member of the research lab, you will be involved in experimental systems work in collaboration with faculty members and several doctoral students at our research lab. You will contribute to scientific publications as well as to new grant applications.

Do you have a background within mechatronics, biomedical, mechanical, electrical, or computer engineering and research interests in medical robotics and human in the loop control – this could be a position for you. We are looking for an ambitious, collaborative, and structured person to join our team.

You will lead research efforts in human-in-the-loop control for medical robotics in the context of cardiovascular technologies. The goal is to innovate control systems for optimized interaction of soft cardiovascular pumps and wearable biofeedback systems with the human body. You will have the opportunity to critically assess the safety of the proposed control system for real-world application utilizing hybrid mock circulation. The unique systems enable real-time testing in interaction with the human cardiovascular system dynamics across various patient groups. You are expected to publish in scientific journals in an independent way and to support the coordination of the research group and supervision of students.

As a PostDoc, you will be an integral part of the growing Intelligent Heart Technology Lab, whose mission is to advance cardiovascular health technologies, at the Department of Biomedical Engineering and Health Systems. Read more about our research here. Throughout the project, you will work closely with stakeholders in clinics and international partners, enabling fast learning and idea exchange with medical doctors.

Do you want to use data and modelling to make historic buildings energy efficient – without compromising their cultural value? Join the research project DASHER at KTH.

DASHER (Data-driven Structured Historic Energy Renovations) develops and implements interdisciplinary, data-driven methods for the energy renovation of culturally valuable buildings, with an initial focus on Gamla stan (the Old Town) in Stockholm. Anchored in the revised EU Energy Performance of Buildings Directive (EPBD), the project addresses the challenge of balancing energy efficiency, heritage preservation and a healthy indoor environment.

As a postdoctoral researcher, you will further develop and apply urban building energy modelling tools (such as ODEN and HIBER Atlas) to automate energy simulations and identify cost-effective renovation measures at the district scale. You will work with open and physics-based building-stock data, validate models against real buildings, and translate the results into a scalable method for Swedish conditions, a portfolio of measures for Gamla stan, and guidance for national authorities on implementing the EPBD in heritage environments.

You will be part of a strong interdisciplinary consortium spanning academia, industry and the public sector, and collaborate closely with project partners including Uppsala University. The position is based at the Department of Sustainable Development, Environmental Science and Engineering (SEED), School of Architecture and the Built Environment (ABE), KTH, in Stockholm.

The energy system is undergoing a fundamental transformation driven by the rapid integration of renewable energy, electric vehicles and large-scale AI data centers. Power electronic converters play a pivotal role in enabling this transition, while also introducing new challenges related to system dynamics, stability, and control.

This project focuses on the development of modeling, stability analysis, control, and hardware solutions for converter-dominated power systems. Application areas include next-generation megawatt charging infrastructure for heavy-duty electric vehicles and power electronic systems supporting AI data centers. The project is funded by EU Clean Energy Transition Partnership and Swedish Energy Agency. The recruited researcher will join the Division of Electric Power and Energy Systems at KTH Royal Institute of Technology, working closely with world-leading power electronic groups in University of Padova, Aalborg University, Chalmers University of Technology , and with a set of industrial partners, i.e., Hitachi Energy and Energiforsk, the system operators Svenska kraftnät, Volvo Energy. 

The electrification of heavy-duty transportation requires next-generation charging infrastructure capable of delivering fast, efficient, and reliable charging while supporting future grid services through vehicle-to-grid (V2G) technologies and mobile energy storage.

This project focuses on the design, modeling, control, and hardware development of fast charging systems for heavy-duty electric vehicles. The research covers high-power power electronic converters, system-level modeling, control strategies, grid integration, the coordination of mobile energy storage.

This project is funded by Sweden’s Innovation Agency, in collaboration with City of Stockholm, Hitachi Energy, Vattenfall, etc.

The rapid growth of artificial intelligence (AI) is driving an unprecedented demand for large-scale AI data centers, creating new challenges for power supply, energy efficiency, resilience, and grid integration. At the same time, Arctic and sub-Arctic regions are becoming attractive locations for AI data centers due to their naturally cold climates, which significantly reduce cooling requirements. These trends call for next-generation microgrids and power electronic technologies to ensure reliable and sustainable operation.

This project focuses on the design, modeling, control, and management of microgrids for AI data centers. The project is funded by the Swedish Energy Agency in close collaboration with Arjeplog Municipality, providing a unique real-world Arctic test environment.

The Hultgren Laboratory is a KTH infrastructure open to students and researchers from universities, institutes and industry. It provides a comprehensive suite of instruments for sample preparation, materials characterization and measurement of materials’ properties. While the facility offers measurement services, it is primarily set up for independent use by researchers, who after appropriate training, can operate the tools and instruments themselves. Most research conducted at the laboratory focuses on metallic and hard materials; however, the instrumentation is also well suited to the study of a broad range of other solid-state materials, such as ceramics, polymers, semiconductors, composites and biomaterials.

The overarching goal of the Hultgren Laboratory is to enable high-quality, materials research and education by providing reliable, accessible, and state-of-the-art experimental capabilities. Central to this mission is fostering an efficient, well-supported user environment that promotes both scientific excellence and collaboration across academia and industry.

The Laboratory Manager plays a key role in achieving these objectives. The position is responsible for the overall coordination and day-to-day operation of the laboratory, including managing user access, responding to enquiries, and ensuring an effective onboarding and training process for new users.

The Laboratory Manager will oversee the maintenance, functionality and safe operation of all equipment, while also providing technical support to users in their experimental work. In addition, the role includes responsibility for the laboratory’s financial oversight, including budgeting, operational costs, investments, and income from user fees and services. While primary responsibility for individual instruments is distributed across the team, the Laboratory Manager is expected to take technical leadership for selected equipment aligned with their expertise; for example, XRD, SEM, thermal analysis or mechanical testing.

Beyond operational responsibilities, the Laboratory Manager is expected to contribute strategically to the laboratory’s development by defining a clear vision and initiating plans for long-term improvements in infrastructure, services and instrumentation. The aim is to continuously strengthen the laboratory’s capabilities and enhance its contribution to research excellence and innovation.

The AICell Lab (https://aicell.io) in the department of Applied Physics at KTH and Science for Life Laboratory is a research group funded by the Data-driven Life Science Fellows (DDLS) program. Led by Wei Ouyang, the group builds next-generation AI systems for cell and molecular biology. Data-driven Life Science Fellows program

AlphaCell is a new SciLifeLab initiative aimed at building the first molecular-level computational model of the human cell. The program is led by Jan Ellenberg (Director of SciLifeLab) and Mathias Uhlén (Director of the Human Protein Atlas), together with a collaborative, multi-institutional constellation of SciLifeLab researchers and infrastructure units.

The AlphaCell program is recruiting a postdoctoral researcher in AI modeling. The position will be embedded in the AICell Lab at KTH and SciLifeLab. The successful candidate will collaborate closely with Avlant Nilsson’s cancer cell modeling lab at Karolinska Institutet and SciLifeLab, and with the data team at the Human Protein Atlas.

The AICell Lab (https://aicell.io) in the department of Applied Physics at KTH and Science for Life Laboratory pursues interdisciplinary research in cell and molecular biology. The group is led by Wei Ouyang and combines wet-lab work with automated experimental platforms and AI-driven analysis tools. Data-driven Life Science Fellows program

We are seeking a postdoctoral researcher to pursue curiosity-driven cell and molecular biology research in a team that uses AI and automation as everyday tools. The position is biology-focused — you design and run experiments, interpret the results biologically, and collaborate with colleagues who handle the implementation and analysis work.

We value a strong biological foundation, communication skills, and a willingness to collaborate in an interdisciplinary team. The project is shaped collaboratively at the start of the appointment, around your scientific interests and the lab’s broader directions.

Alpha Cell is a new SciLifeLab program aimed at building the first molecular-level computational model of the human cell. The program is led by Jan Ellenberg, Director of SciLifeLab and Mathias Ulhen, Director of the Human Protein Atlas, together with a collaborative, multi-institutional constellation of SciLifeLab researchers and infrastructure units. 

The Human Protein Atlas (HPA) is a large-scale international effort to map the spatial distribution of proteins in human cells, tissues, and organs using antibody-based imaging, transcriptomics, and systems biology approaches. Since its launch, the atlas has generated one of the world’s most comprehensive open resources for spatial molecular biology, comprising millions of images and extensive molecular measurements. All data are released openly and widely used by researchers worldwide. 

The Alpha Cell program is recruiting a postdoctoral in Biological Data Systems to develop scalable data infrastructure and computational systems for large biological datasets. The position will be embedded within the Human Protein Atlas at KTH and SciLifeLab. The successful candidate will work closely with Avlant Nilsson cancer cell modeling lab and Wei Ouyang’s AICell lab who together will develop the first foundation cell model based on HPA and other external large-scale datasets. 

The role focuses on establishing the data foundations for the program’s initial modelling efforts by identifying, evaluating, integrating, and structuring large biological datasets into scalable, standardized, and AI-ready frameworks for computational modelling. Working in SciLifeLab’s highly interdisciplinary environment, where imaging, molecular data, and computational methods are developed in parallel, the postdoc will develop systems and services that make biological data accessible to AI and computational tools, collaborating closely with the Human Protein Atlas (HPA) team and other researchers to enhance data integration, annotation, structure, and accessibility, connect external datasets, and support open science and emerging AI-driven workflows.

Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data and behavioural surveys. You will work directly with multiple municipalities and regions to design, implement, and refine monitoring and evaluation protocols including the monitoring framework for pilot activities, ensuring that analytical insights are aligned with local needs and operational realities.

The role also includes contributing to project management, preparing reports, co‑supervising research engineers, and collaborating closely with other project members.

The two positions will contribute to complementary but distinct research directions –

1. Transport, Energy and Emissions This position focuses on modelling and forecasting how transport activity interacts with energy use and emissions over time.
2. Transport Emissions and Health This position centres on understanding and forecasting the health impacts of transport‑related emissions.

In both positions, the overarching ambition is to extend large‑scale transport simulation models into next generation transdisciplinary frameworks that integrate energy, emission, and health models, enabling comprehensive long‑term impact assessment.