Chalmers University of Technology, Gothenburg, Sweden invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Chalmers University of Technology, Gothenburg, Sweden.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Student in Grey-Box Modeling of Multiphase Flows
This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification. This involves formulation, implementation, and validation of novel hybrid models. The study emphasizes methodological innovation, scalable algorithms, and translation to industrially relevant multiphase reactors and separation processes, with strong expectations of high-impact publications and intellectual leadership.
Deadline : 31 March 2026.
(02) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Student in Quantum-Classical Modeling of Multiphase Flows
This project focuses on the development of quantum–classical modeling strategies for multiphase flow systems. The PhD topic is on exploring how emerging quantum computing methods can be integrated with classical numerical models to improve the simulation of complex multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid approaches for next-generation fluid simulations.
Deadline : 31 March 2026.
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Solid and structural dynamics
The current railway signalling system employs operational (e.g., noise measurement data) and safety related sensor data (e.g., switch locking data) for management of train operations. There are European plans to increase the scope and use of such data for the next generation of signalling systems. The aim is to allow for status monitoring to be interacting with, and to some extent be incorporated in the signalling system. This would allow a proactive approach to maintenance, thus improving reliability, decreasing costs etc.
Your project will be part of those efforts by investigating which of the (existing and potential) sensor and inspection data that are of interest for different actors in the railway system. Further, it will investigate reliability of different sensor data in relation to their (potential) use. This includes means to enhance reliability of important data. Naturally, this requires an ability to interpret data in terms of operational parameters and consequences of high/low magnitudes. Investigated data typically relate to railway mechanics and thereby often relate to risk analyses.
In the extension, this relates to the need to communicate and act on the collected data. The project will investigate this with an aim to enhance reliability and safety. This leads to the ultimate aim of the project, which is to outline of how sensors can/should be employed and integrated in a future signalling system. Here challenges such as how AI can/should be employed in a safety critical system will be considered.
Deadline : March 31, 2026
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student position in modeling polarons in emerging energy materials
This project investigates how polarons, formed by interactions between charges and the lattice, influence the efficiency of materials used in solar-energy devices. Using state-of-the-art electronic-structure calculations and machine learning methods, you will model these effects and contribute to the design of improved semiconductors for solar cells and solar-to-fuel conversion.
Deadline : 31.03.2026
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in nanofluidics with integrated nanophotonic functionalities
In this project, as its main goal, we will merge two paradigms – nanofluidics and nanophotonics – to confine both matter and light in unified tailored nanoarchitectures fabricated into nanofluidic systems that enable direct access to the interior of, for example, optical cavities in a flow-through manner, and that via their fascinating light scattering properties can make individual molecules directly visible. The similar length scales of optical and geometrical confinement combined in these devices will revolutionize both the active control and the nanoscale in situ characterization of photochemical and catalytic processes.
To achieve this ambitious goal, we will build on the project team’s recent achievements in single particle catalysis and single molecule microscopy (Langhammer group: Nat Methods 2022, 19 (6), 751-758; Nat Commun 2019, 10, 4426; ACS Nano 2023, 17, 21030-21043); optical microcavities (Shegai group: Nature 2021, 597, 214-219; Nat Phys 2023, 19, 271-278 ), and modulation of photochemical behavior under confinement (Grommet group: J Am Chem Soc 2020, 142, 14557-14565; Acc Chem Res 2020, 53, 2600-2610).
Deadline : March 22nd, 2026.
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student position in modeling polarons in emerging energy materials
This project investigates how polarons, formed by interactions between charges and the lattice, influence the efficiency of materials used in solar-energy devices. Using state-of-the-art electronic-structure calculations and machine learning methods, you will model these effects and contribute to the design of improved semiconductors for solar cells and solar-to-fuel conversion.
Deadline : 31.03.2026
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD student in integrated photonics
Join a cutting-edge PhD project within a European Research Council (ERC) Advanced Grant on integrated optical clocks and photonic synchronization. You will develop and integrate optical amplifiers on chip to boost the performance of microresonator frequency combs. The goal: compact, energy-efficient photonic systems for precision timing, datacenters, and future communication technologies.
Deadline : 30th of March, 2026
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in nanofluidics with integrated nanophotonic functionalities
In this project, as its main goal, we will merge two paradigms – nanofluidics and nanophotonics – to confine both matter and light in unified tailored nanoarchitectures fabricated into nanofluidic systems that enable direct access to the interior of, for example, optical cavities in a flow-through manner, and that via their fascinating light scattering properties can make individual molecules directly visible. The similar length scales of optical and geometrical confinement combined in these devices will revolutionize both the active control and the nanoscale in situ characterization of photochemical and catalytic processes.
To achieve this ambitious goal, we will build on the project team’s recent achievements in single particle catalysis and single molecule microscopy (Langhammer group: Nat Methods 2022, 19 (6), 751-758; Nat Commun 2019, 10, 4426; ACS Nano 2023, 17, 21030-21043); optical microcavities (Shegai group: Nature 2021, 597, 214-219; Nat Phys 2023, 19, 271-278 ), and modulation of photochemical behavior under confinement (Grommet group: J Am Chem Soc 2020, 142, 14557-14565; Acc Chem Res 2020, 53, 2600-2610).
Deadline : March 22nd, 2026.
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in perovskite materials for energy and chemical processes
The announced positions are within the project “Perovskite redox materials for energy conversion and production of base chemicals”, a basic research endeavor funded by the Swedish Research Council. The goal is to develop new perovskite oxides with thermochemical properties tuned for production of key materials such as for example hydrogen, carbon monoxide, methanol and ethylene. You will use advanced evaluation techniques, data mining, and generative machine learning models to create an active learning cycle to identify materials with adequate properties. Promising materials will be synthesized, characterized and evaluated in lab. This will help establish the concept as a viable technology for sustainable and efficient production of key commodities.
Deadline : March 13, 2026.
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Optimal control of a superconducting bosonic processor
Circuit quantum electrodynamics offers powerful ways to process quantum information using superconducting resonators and bosonic modes. To make these systems perform reliably, their quantum dynamics must be modeled carefully and their control pulses must be optimized. You will develop such models and optimization techniques, focusing on how bosonic quantum operations behave under realistic noise. Although the work is theoretical, it is carried out in close collaboration with ongoing experiments, and involves both analytical methods and numerical simulations.
Deadline : March 10th 2026
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in LCA of Upcycling of Waste in Food Industry
Work will initially be performed within the BIOPOM (Biotechnological upcycling of fruit pomace into prebiotic food ingredients) FutureFoodS project. The project aims at reducing waste in food industry while creating high-value, health-promoting ingredients. Apple pomace is a by-product of apple juice and cider production (20% of apple wet mass and 4 Mt/y of waste in Europe) and BIOPOM aims to use it to generate food ingredients that possess an untapped prebiotic potential in an interdisciplinary approach combining precision fermentation, metabolomics, and colloidal science. The project also aims at validation of safety and sustainability across the entire life cycle. BIOPOM’s multidisciplinary consortium comprises experts in biochemistry and biotechnology, metabolomics, life cycle assessment, food safety, and regulations on novel foods. Industry partners provide apple pomace and are important in scaling technologies for stabilization and in the pre-industrial integration into food matrices.
The work of the Doctoral student will have a large focus on using life cycle assessment (including development of methods and practices) for providing guidance in technology development. The work will be done in close collaboration with other project participants.
Deadline : March 8, 2026
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(12) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in satellite observations: deriving climate data by physically-based machine learning
The satellite carrying the ground-breaking MicroWave Imager (MWI) and Ice Cloud Imager (ICI) will be launched this summer. Our team plays a leading role in preparing for ICI, and we will derive much-needed climate data on ice clouds from it. This project is about extending the data extraction to use measurements from MWI and ICI jointly as input and, in this way, derive geophysical data on all forms of water in the atmosphere (gas, liquid, and ice). These data will allow unprecedented studies of the atmospheric water cycle.
The data extraction will be based on existing machine learning development made by the team, in particular the use of quantile regression neural networks. There exists no other measurements that can be used as “ground-truth”, and to obtain training data the MWI and ICI observations must be simulated. Accordingly, the foundation of the project is to perform detailed physical simulations that involving atmospheric science, radiative transfer, and the sensor’s characteristics. To make full use of the possibilities offered by machine learning, we are pushed to perform better and more large-scale physical simulations than done before.
The work will form the basis for official data products (distributed by EUMETSAT) and for research products produced and disseminated by the team itself. Possible additional tasks include to improve our main simulation tool (Atmospheric Radiative Transfer Simulator, https://www.radiativetransfer.org/), to apply the derived geophysical data for verifying climate models and to apply the development on the Arctic Weather Satellite and Sterna missions.
Deadline : March 8 2026
(13) PhD Degree – Fully Funded
PhD position summary/title: 15 Doctoral students in the field of Nanoscience and Nanotechnologies
We are looking for three highly motivated and skilled graduates interested in nanoscience and nanotechnology. The selected candidates are awarded with a PhD position, which they can place at any Nano research group at Chalmers and with which they coordinate their specific PhD program. This is the eleventh in a yearly recurring call.
These positions are special in the sense that most PhD student positions at Chalmers are announced by a specific research group, funded by a specific research project. However, with an Excellence PhD student position you have your own funding, which of course gives you far more freedom in choosing both research group and research project.
A PhD exam in Nano is the perfect start for your career, whether you aim at academic research at the highest level, advancing technology and business ideas in major companies or spinning off your own idea into a start-up company.
Chalmers offers 12 additional PhD positions with specific research topics within the field of Nanoscience and Nanotechnologies. The positions with specific research topics are listed further below. You are welcome to apply to all positions that align with your interests.
Deadline : 8th of March 2026
(14) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in self-assembled optical microcavities
We are looking for a highly motivated and skilled graduate student interested in nanoscience and nanotechnology. The research project concerns self-assembled optical microcavities and ways to control them. Furthermore, to broaden the scope of possible use cases for the technology, the selected candidate is expected to collaborate with experts in optical microcavities, nanophotonics, nanofluidics, and photochemistry. One could also expect a broad involvement of both experimental and theoretical disciplines.
A PhD in nanophotonics and optical microcavities is a perfect start for your career, whether you aim at academic research at the highest level, advancing technology in industrial settings, or spinning off your own idea into a start-up company.
Deadline : March 8th, 2026
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD student position in Conducting Polymer Fibers for Wearable Electronics
The aim of the project is to explore the interplay between the electrical and mechanical properties of conjugated polymers and conducting polymer fibers. A central part of the research will involve the development of fiber spinning processes and the integration of the resulting fibers into wearable devices, such as fiber-based organic electrochemical transistors. In addition, tensile testing, dynamic mechanical analysis, nanonindentation and atomic force mircroscopy will be used to characterize the mechanical properties of (doped) conjugated polymers.
You will work closely with fellow PhD students and postdocs at Chalmers, and collaborate with academic and industrial partners in Sweden and internationally. The role also offers opportunities for travel and engagement with external collaborators.
Deadline : 8 March, 2026
(16) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in coupling cold atoms to photonic integrated circuits
Alkaline earth atoms are used in the best atomic sensors and show promise as a platform for quantum computing and simulation. Meanwhile, nanophotonics enable exquisite control over the propagation of light, giving unique possibilities for coupling cold atoms to light. In this project, you will build a new experimental platform to trap thousands of cold Strontium atoms near nanophotonic waveguides. We will then use this platform to explore protocols for quantum metrology, simulation and computing. As a Doctoral student you will be part of a research group with expertise in atomic physics, photonics and nanofabrication and the project will involve a broad range of techniques, including laser cooling and trapping, spectroscopy, ultra-high-vacuum technology, photonic design, and nanofabrication.
Deadline : 2026-03-08
(17) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Accelerated solar cell materials exploration
In this project, you will co-develop more stable perovskite solar cells and effective automated approaches for increasingly autonomous materials experiments (for further information, please check here).
This project provides you an excellent starting point for an academic career that could focus on sustainable materials development (for solar cells but also, e.g., batteries or electronics) or accelerated / autonomous experiments. Sustainable energy and accelerated laboratories are also trending technologies in industry and start up scene alike. The framing of the project can be tuned according to your interests.
Deadline : March 8, 2026.
(18) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in computational modelling of zinc-metal batteries
Rechargeable aqueous zinc-metal batteries offer a promising route toward affordable, safe, and sustainable energy storage based on abundant and recyclable materials, aligned with European value chains. However, large-scale deployment is hindered by parasitic interfacial reactions at the zinc–electrolyte interface, including dendrite formation, corrosion, and by-product generation. Unlike Li-ion batteries, the targeted zinc batteries operate in aqueous, pH-dependent environments. A mechanistic, atomic-scale understanding of interfacial chemistry is essential for achieving durable and recyclable zinc-metal batteries.
You will join the Stenlid lab at the Department of Chemistry and Chemical Engineering. The lab tackles fundamental questions in surface- and electrochemistry aiming to design materials for (electro)catalytic and energy storage applications supporting a sustainable society. The project is a partnership with the Maibach group at the Chalmers Division of Materials Physics, contributing advanced materials characterization, electrochemical analysis, and testing of the battery cells.
As a member of the Stenlid lab, you will be exposed to a broad range of computational methodologies, ranging from atomistic and electronic-structure–based materials modeling and characterization, via machine-learning and high-throughput methods, to ab initio calculation of electrochemical reaction kinetics. The position is funded by the Swedish Energy Agency’s research program “Sustainable Battery Value Chain” and includes multidisciplinary collaborations where research visits to national and international research groups are encouraged.
Deadline : 8th March, 2026
(19) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in nanomaterial synthesis for breath sensors
The project aims to develop nanostructured chemoresistive sensors for non-invasive health monitoring through breath analysis. By investigating material–biomarker interactions at the nanoscale, we target breakthroughs in sensitivity and selectivity for disease-related biomarkers. The work integrates catalysis, surface chemistry, materials design, and sensor engineering, and continues all the way to device fabrication and validation in real human breath. This highly interdisciplinary setting offers the opportunity to connect fundamental chemistry with real clinical impact.
Deadline : March 8th, 2026.
(20) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in characterization of large-scale quantum computers
Our ambitious goal at Chalmers is to build a quantum computer with 100 superconducting qubits and to apply it to real computational problems that cannot be efficiently solved on a conventional computer. To achieve this goal, our theory team is developing methods to model, design, and characterize large-scale quantum devices. In this research project, the focus will be on characterization, but with strong connections to modelling and design. At the scale of 100 qubits, complete characterization of a quantum computer becomes infeasible, so one must be clever about what information to extract and how to do it. The aims of the research project are therefore (i) to develop methods for approximate, selective, and/or partial tomography of quantum states and processes on large quantum computers and (ii) to develop strategies for inferring model parameters, e.g., coupling strengths and noise levels, from measurement data from these devices.
Deadline : 8 March 2026.
(21) PhD Degree – Fully Funded
PhD position summary/title: Excellence Doctoral students in Nanoscience and Nanotechnologies
We are looking for three highly motivated and skilled graduates interested in nanoscience and nanotechnology. The selected candidates are awarded with a PhD position, which they can place at any Nano research group at Chalmers and with which they coordinate their specific PhD program. This is the eleventh in a yearly recurring call.
These positions are special in the sense that most PhD student positions at Chalmers are announced by a specific research group, funded by a specific research project. However, with an Excellence PhD student position you have your own funding, which of course gives you far more freedom in choosing both research group and research project.
A PhD exam in Nano is the perfect start for your career, whether you aim at academic research at the highest level, advancing technology and business ideas in major companies or spinning off your own idea into a start-up company.
Deadline : March 8th 2026
(22) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in photochemical reactivity under confinement
In this project, you will explore the differences in how photochemical reactions proceed in solution, under spatial confinement within nanoscale boxes, and under optical confinement within optically resonant microcavities. This project will be conducted in collaboration with the groups of Prof. Timur Shegai and Prof. Christoph Langhammer from the Department of Physics at Chalmers. As such, you will gain skills and experience in fields spanning synthetic organic chemistry, photochemistry, supramolecular chemistry, and nanoscience, as well as learn how to effectively communicate across disciplinary boundaries.
Deadline : 8th March 2026
(23) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in computational metabolic engineering
Microbial cell factories are at the heart of the global transition toward a sustainable society. Among them, non-conventional yeasts such as Yarrowia lipolytica and Debaryomyces hansenii stand out as powerful biocatalysts thanks to their unique traits: high lipid accumulation, stress tolerance, and adaptability to challenging industrial conditions.
A critical challenge in large-scale bioprocesses is regulated cell death (RCD). Premature cell death can drastically reduce productivity, shorten fermentation runs, and even compromise product quality. Understanding and controlling RCD is therefore critical for next-generation biomanufacturing.
Your mission as Doctoralal student will be to use computational biology tools to explore the intersection of cell death, metabolism, and population heterogeneity in industrial yeasts. You will:
- Develop advanced computational models, including mechanistic enzyme-constrained models (ecGEMs) for Y. lipolytica and D. hansenii, integrating RCD pathways.
- Leverage cutting-edge data from experiments and literature to model metabolism and cell death under real-world bioprocess conditions.
- Uncover molecular mechanisms and biomarkers of RCD, and design innovative strategies to delay cell death and boost biomanufacturing performance.
Deadline :6 March 2026.
(24) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in organic synthesis of monomers and polymers
This project will focus on the design and synthesis of organic building blocks as monomers for constructing functional polymers in one-/two-/three-dimensions. By carefully tailoring the geometry, electronic properties, and chemical functionality of the monomers, the project aims to develop 1D/2D/3D-polymers with enhanced transporting properties and catalytic functionalities.
Deadline : 5 March, 2026
(25) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in physics-guided foundation model for time-series data
This project advances physics-aware foundation models for time-series data. Here, foundation models refer to reusable, pretrained time-series models that can be adapted across vehicles, driving conditions, and tasks. The primary use case is automotive: predicting vehicle behavior, simulating rare safety-critical scenarios and generating test cases to strengthen validation and reduce physical trials. The techniques are designed to transfer to other safety-critical domains such as healthcare.
Concretely, the research will focus on multivariate vehicle time series such as CAN signals, sensor streams, and simulated state trajectories, with models that integrate physical structure (e.g. dynamics, constraints, conservation laws) into large neural architectures. Physics guidance may include explicit system constraints, inductive biases in model architectures, hybrid simulation learning loops, or loss formulations that encode physical consistency. The work combines forecasting, representation learning, and scenario generation under safety and reliability constraints. The results will support safer automation, fewer failure modes, more efficient testing, and lower energy use.
Deadline : March 3rd 2026
(26) PhD Degree – Fully Funded
PhD position summary/title: Two doctoral students in materials science with a focus on cementitious materials
The doctoral projects span several central questions within cement-based materials with a focus on Hydration of Supplementary cementitious materials (SCMs) incorporated systems. The research includes, among other things, how systems incorporating emerging cementitious materials can be designed to enhance the dissolution of SCMs without negatively affecting cement hydration, while simultaneously characterizing dissolution, precipitation, and pore‑structure evolution using analytical laboratory techniques and synchrotron facilities.
Deadline : 1st of March 2026.
(27) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in graph theory
As a PhD student, you acquire the skills and knowledge to conduct independent research, culminating in writing a scientific dissertation contributing to the development of knowledge in the subject area. More specifically, you will read, review, and write research papers; give presentations; take courses that complement your background; and perform research appropriate for the topic of the project you are appointed to under the guidance of the supervision team.
This position offers a great opportunity to develop your scientific and technical skills within a team of leading researchers in structural and algorithmic graph theory. The project focuses on exploring the tractability and intractability of graph problems in both the classical and parameterized settings. The goal is to develop general tools that can provide efficient algorithms for a wide range of graph problems.
Deadline : March 1, 2026.
About Chalmers University of Technology, Gothenburg, Sweden –Official Website
Chalmers University of Technology is a Swedish university located in Gothenburg that focuses on research and education in technology, natural sciences, architecture, mathematics, maritime and other management areas.
The university was founded in 1829 following a donation by William Chalmers, a director of the Swedish East India Company. He donated part of his fortune for the establishment of an “industrial school”. Chalmers was run as a private institution until 1937, when the institute became a state-owned university. In 1994, the school was incorporated as an aktiebolag under the control of the Swedish Government, the faculty and the Student Union. Chalmers is one of only three universities in Sweden which are named after a person, the other two being Karolinska Institutet and Linnaeus University.
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