Chalmers University of Technology has huge a campus in Sweden and widely known as for its contribution in top notch education and research. The contribution of Chalmers University of Technology is not only limited to natural sciences and engineering but it also offers high quality research as well as higher education in bio-medical sciences, social sciences, humanities, psychology, education, architecture etc.

1. 5 PhD positions in Quantum Software

Summary of Doctoral Project:

This project is part of QuantumStack, a 5-year project funded by the Swedish Foundation for Strategic Research, with the aim of developing a full software stack for programming quantum computers. The project is integrated with the Wallenberg Centre for Quantum Technology (WACQT), a 12-year, billion-SEK initiative started in 2018 with the purpose of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum computer. Our ambitious goal at Chalmers is to build this quantum computer with 100 superconducting qubits and to apply it to real computational problems that cannot be efficiently solved on a conventional computer. Such computationally hard problems are found, e.g., in optimization, quantum chemistry, materials science, machine learning, etc.

Last Application Date: 31st August, 2022

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2. PhD student in algorithms for near term quantum (NISQ) computers

Summary of Doctoral Project:

This project is part of QuantumStack, a 5-year project funded by the Swedish Foundation for Strategic Research, with the aim of developing a full software stack for programming quantum computers. The project is integrated with the Wallenberg Centre for Quantum Technology (WACQT), a 12-year, billion-SEK initiative started in 2018 with the purpose of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum computer. Our ambitious goal at Chalmers is to build this quantum computer with 100 superconducting qubits and to apply it to real computational problems that cannot be efficiently solved on a conventional computer. Such computationally hard problems are found, e.g., in optimization, quantum chemistry, materials science, machine learning, etc.

Last Application Date: 31st August, 2022

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3. PhD student position in hydrogen technology and additive manufacturing

Summary of Doctoral Project:

The main competencies at the Department of Industrial and Materials Science are found in the areas of: Human-Technology Interaction, Form and Function, Modeling and Simulation, Product Development, Materials, Production and in the interaction between these areas. The research develops the industrial process, from need to finished product while creating added value. To combine skills throughout the whole chain distinguishes the department both nationally and internationally. Here we gather internationally prominent researchers, in dynamic and outstanding research environments, as well as in national and international research networks.

Last Application Date: 15 August, 2022

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4. PhD student in protocols to certify quantum advantage

Summary of Doctoral Project:

The project is funded by the Wallenberg Centre for Quantum Technology (WACQT), a 12-year, billion-SEK initiative started in 2018 with the purpose of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum computer. Our ambitious goal at Chalmers is to build this quantum computer with 100 superconducting qubits and to apply it to real computational problems that cannot be efficiently solved on a conventional computer. Such computationally hard problems are found, e.g., in optimization, quantum chemistry, materials science, machine learning, etc. The position is aimed at developing efficient and practical protocols for certifying quantum computational advantage on near-term quantum computers. There have been demonstrations of quantum advantage with existing devices (from groups at Google and USTC), however it is intractable to verify the results of these demonstrations. At the same time, there exist efficiently verifiable tests of quantum advantage, known as “proof of quantumness” protocols, but they are currently impractical to implement on existing or near-term devices (due to the large quantum circuits required to run the protocols, as well as their lack of robustness to noise).

Last Application Date: 31st August, 2022

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5. Two PhD students in mathematics for artificial intelligence

Summary of Doctoral Project:

The expansion of Artificial Intelligence (AI), in the broad sense, is one of the most exciting developments of the 21st century. This progress opens up many possibilities but also poses grand challenges. The center “Wallenberg AI, Autonomous Systems and Software Program” (WASP) has launched a program to develop the mathematical side of this area, see https://wasp-sweden.org. The aim is to promote the competence of Sweden as a nation within the area of AI.

Last Application Date: 15 September, 2022

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6. PhD student(s) in cell factory engineering and production of aromatic biochemicals

Summary of Doctoral Project:

The Industrial Biotechnology group is a dynamic and international group of researchers established in 2008 and counts now around 45 members. The common denominator of the research activities in the group is to develop solutions for optimizing the use of renewable raw materials within the main concept of biorefinery. The research performed within the group spans from fundamental research, technology development to lab-scale application: this ensures deep knowledge of the studied systems, leading to rational development and optimization of the respective applications. The research fields include production of different biocommodities (biofuels, biochemicals or proteins) via fermentation and enzymatic refining of biomass as well as bioelectrochemical systems. The division engages in extensive collaborative projects across universities and industry both nationally across Sweden and internationally.

Last Application Date: August 7, 2022

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7. PhD student position in Lithium chemistry in contact to metallic and ceramic materials

Summary of Doctoral Project:

We are searching for a candidate who is able to work on research questions that require inorganic synthesis, material science and analytical techniques. Due to the nature of the anticipated lab work, an educated and safe approach to chemicals and gases is required. Key for the tasks is a fluent communication with supervisors, technical staff and industry partners in person and writing in form of meetings, reports and publications. Industry partner for this project in particular is Umicore in Belgium.

Last Application Date: 7th August, 2022

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8. PhD student position in energy and environmental systems analysis of hydrogen for transport

Summary of Doctoral Project:

Our research aims to provide long-term, and most often global, perspectives on future renewable fuels for transport. We seek to rigorously analyze the feasibility of energy transitions, utilize empirical as well as estimated data, and explore whether and under what conditions changes can occur as well as the cost-effectiveness and environmental effects of such changes. Research tools include techno-economic assessments, life cycle assessment, and cost-minimizing models where all energy sectors compete for the same primary energy sources in a future carbon constrained world. Currently, we have a special interest in the role of hydrogen and electrofuels (fuels produced by combining energy from electricity, hydrogen from water via electrolysis, and carbon, or possibly nitrogen, into liquid or gaseous hydrogen-containing end-fuels) in the fuel mix, meeting ambitious climate targets.

Last Application Date: 2022-09-01

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9. Millimeter-wave 6G antennas for high-speed broadband SATCOM terminals

Summary of Doctoral Project:

The PhD position is placed at the Antenna Group, part of the Department of Electrical Engineering at Chalmers. The Antenna Group is well known in Sweden and internationally for its scientific contributions to antenna systems for telecommunications, radars, satellites, astronomy and space sciences, as well as disruptive antenna technologies for new applications, such as 5G/6G, having resulted in successful spin-off companies Gapwaves and Bluetest. We offer international PhD courses where we extend the fundamentals in antennas to the cross-disciplinary fields, covering electronic devices, integrated circuits, signal processing, and digital communication. We also offer training and access to a new world-class experimental infrastructure, the Millimeter wave -THz antenna chamber, at Chalmers, and the Swedish National Infrastructure for Computing. Furthermore, we stimulate commercial exploitation of the results developed in the research projects through collaborations with industries and offer support of Chalmers innovation office for spin-off/start-up activities.

Last Application Date: 2022-09-01

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10. Antenna – power amplifier co-design for 6G telecommunication

Summary of Doctoral Project:

The PhD position is placed at the Antenna Group, part of the Department of Electrical Engineering (E2) at Chalmers The Antenna Group is well known in Sweden and internationally for its scientific contributions to antenna systems for telecommunications, radars, satellites, astronomy and space sciences, as well as disruptive antenna technologies for new applications, such as 5G/6G, having resulted in successful spin-off companies Gapwaves and Bluetest. We offer international PhD courses where we extend the fundamentals in antennas to the cross-disciplinary fields, covering electronic devices, integrated circuits, signal processing, and digital communication. We also offer training and access to a new world-class experimental infrastructure, the Millimeter wave -THz antenna chamber, at Chalmers, and the Swedish National Infrastructure for Computing. Furthermore, we stimulate commercial exploitation of the results developed in the research projects through collaborations with industries and offer support of Chalmers innovation office for spin-off/start-up activities.

Last Application Date: 2022-09-01

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11. PhD student position in Polymer Science funded by the European Research Council

Summary of Doctoral Project:

The ERC funded project “Electrical Modulation of Elastic Moduli” has the goal to develop new concepts for stimuli-responsive materials and fibres that can be used for the realization of new types of electronic textile devices. A PhD student position is available in the research group of Christian Müller at the Department of Chemistry and Chemical Engineering of Chalmers University of Technology. We are looking for a highly motivated student who will use conjugated polymers to develop new types of stimuli-responsive fibers and textile devices. Focus will be on the use of molecular doping to tune the stiffness and stretchability. You will work closely with several postdocs and PhD students in our group and together study the mechanical and electrical properties of different types of molecularly doped conjugated polymers and polymer fibres. There will be the opportunity to travel and visit the labs at other universities.

Last Application Date: 26 August 2022

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12. PhD student position in Electrochemistry funded by the European Research Council

Summary of Doctoral Project:

The ERC funded project “Electrical Modulation of Elastic Moduli” has the goal to develop new concepts for stimuli-responsive materials and fibres that can be used for the realization of new types of electronic textile devices. A PhD student position is available in the research group of Christian Müller at the Department of Chemistry and Chemical Engineering of Chalmers University of Technology. We are looking for a highly motivated student who will use conjugated polymers to develop new types of stimuli-responsive fibers and textile devices. Focus will be on the use of electrochemistry to tune the stiffness and stretchability. You will work closely with several postdocs and PhD students in our group, as well as with several external collaborators, and together study the mechanical, electrical and electrochemical properties of different types of conjugated polymers and polymer fibers. There will be the opportunity to travel and visit the labs at other universities.

Last Application Date: 26 August 2022

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13. PhD student in machine learning for medical image analysis

Summary of Doctoral Project:

This position is focused on research in applications of image analysis in the biomedical area, e.g. developing automatic methods to interpret images and signals from medical imaging systems and other biomedical sensor modalities. The project aims to develop models to predict and prognosticate diseases such as lung cancer, fractures, and coronary artery disease, using mainly computed tomography images (3D x-ray), but possibly other medical imaging modalities such as x-ray, ultrasound, and nuclear medicine imaging. We aim to develop state-of-the-art methods for medical image analysis, based on key enabling techniques from machine learning, estimation, optimization, and mathematical modeling. Our research is highly multi-disciplinary and will be performed in close collaboration with medical researchers from Sahlgrenska Academy at Gothenburg University and other medical institutions within Sweden and on the international scene.

Last Application Date: 15 September 2022

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14. Power amplifier – antenna co-design for satellite communication

Summary of Doctoral Project:

The position is hosted by the Microwave Electronics Laboratory at MC2. At the Microwave Electronics Laboratory (MEL) we perform application-relevant research on active high-speed electronic components, circuits, and subsystems. Our research is performed in close collaboration with industrial partners and contributes to improved energy and spectrum efficiency, higher data capacity, improved reliability and accuracy in new and emerging wireless communication and sensor applications. We also collaborate closely with researchers both at the Antenna- and Communication systems groups at the Electrical Engineering department. The PhD student will thereby have access to state-of-the art microwave-, antenna- and communication systems expertise, as well as world-class measurement infrastructure as needed to carry out this research project.

Last Application Date: 2022-09-01

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15. PhD student position in efficiency enhanced millimiter wave power amplifiers

Summary of Doctoral Project:

Mobile connectivity is one of the driving forces of our current society, allowing us to be connected anytime, anyplace. This cellular connectivity is currently maintained through 4G and 5G base stations that somehow need to be connected to the core fiber network that is colloquially known as “the internet”. These connections are either implemented as fiber optic links themselves or use point to point microwave links. Currently about 50% of the base stations worldwide are utilizing microwave links, and the total amount of these links is expected to grow dramatically. However, it is not possible to simply increase the number of links at the current frequency bands since these are occupied in most regions so higher millimiter wave (mmW) frequency bands like E- and D-band (71-86 GHz, 130-165 GHz) will need be utilized next. These bands currently lack efficient transmitters to utilize the wide available spectrum in an efficient manner for a sustainable communication solution.

Last Application Date: 2022-08-08

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16. PhD student position in Precision Nutrition: Dietary carb quality, multi-OMICs and disease risk

Summary of Doctoral Project:

We are looking for a motivated Ph.D. student that wants to join a newly established group to advance Chalmers precision nutrition and data-driven multi-OMICs research. The Ph.D. project will focus on nutritional metabolomics and disease risk analyses in large human cohorts, with additional contributions to microbiome, genome, and proteome analyses. This four-year research-intensive Ph.D. position aims to facilitate an academic research career. We strongly encourage a short-term research stay (~3 months) at Harvard as part of the PhD-education. As a doctoral candidate, you will benefit from Chalmers excellent postgraduate educational infrastructure and the position’s funding through the powerful Data-Driven Life Science initiative, providing exceptional research and career development opportunities.

Last Application Date: July 15, 2022

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17. PhD student position in Precision Nutrition: Multi-OMICs imprint of low-carb diet and disease risk

Summary of Doctoral Project:

The Department of Biology and Biological Engineering at Chalmers aims to bridge cutting-edge life science research with biochemical engineering and provides an exceptionally strong international network of academic and industrial collaborations. The Division of Food and Nutrition Science is one of four research divisions in the Bio Department. Food and Nutrition Science is one of the leading units in Sweden, with particular strengths in nutritional and computational metabolomics, dietary biomarkers, and precision nutrition. The Division of Food and Nutrition Science has recently received substantial support from the data-driven life science initiative (DDLS) for expanding its already strong focus on precision nutrition approaches for chronic disease prevention. This initiative builds on the excellent available infrastructure for high-throughput molecular profiling at Chalmers, the Division’s critical expertise in analyzing high-dimensional molecular datasets, and the Division’s longstanding close collaboration with leading research centers on the gut microbiome and the human proteome at Sahlgrenska Academy.

Last Application Date: July 15, 2022

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18. PhD position in Formal Verification of Blockchain Applications

Summary of Doctoral Project:

The research to be performed in this PhD position is part of a project on ‘Smart Contract Verification’. Smart contracts are computer programs running on the blockchain, intended to digitally facilitate the performance of a (financial) contract between all parties which choose to engage with it. The purpose of this project is to provide methods for specifying smart contracts, and on that basis verify, with high automation and with mathematical certainty, whether a given implementation of a smart contract meets this intention. The research is performed in a group which has a strong international reputation in formal software verification. Concretely, the work will build on the ‘KeY’ approach to software verification, and target the most popular smart contract platform, Ethereum.

Last Application Date: 15th July 2022

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19. PhD position in models for transport of plastics in marine environments

Summary of Doctoral Project:

Microplastics (plastic fragments less than 5 mm in size) in the marine environment represent a significant concern due to their persistence in the sea and their danger to marine life. In the Nordics, more than 40 tons of microplastics are discharged yearly from water treatment plants. Microplastic pollution is nowadays a global challenge, directly harming marine and coastal ecosystems and also human health. Two of the UN Sustainable Development Goals (6-Clean water and sanitation/14- Life below water) aim to reduce the impact of microplastics in the marine environment. The long-term aim of the project is to address the challenge of developing novel Lagrangian numerical models to track the dynamics of plastic particles in the ocean. The models developed in this project can be used by oceanographers in ocean general circulation solvers to address large-scale circulation patterns of the plastic particles and identify preferential accumulation regions.

Last Application Date: August 1, 2022

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20. PhD student position in E-Model: modelling e-scooters dynamics and e-scooterist behaviour

Summary of Doctoral Project:

How can we make mircromobility safe? Well, first we need to understand how vehicles and user behave in traffic. One way we can achieve this understanding is by modeling the dynamics of micromobility vehicles (you will focus on e-scooters) and how the user acts as a controller. As a PhD student in this project, you will work with experimental data to create models, and naturalistic data to verify the models. Your work will contribute to several sustainable development goals, e.g., 3.6 and 11.2. We are looking for a creative candidate who wants to address a timely and concrete issue in transportation and leverage a collaborative environment to increase our understanding of traffic safety.

Last Application Date: July 15, 2022

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21. PhD student in Multi-Fidelity Physics-Informed Neural Network for fast CFD solutions

Summary of Doctoral Project:

Most of the engineering mechanics problems can be described by different kinds of Partial Differential Equations (PDEs), such as fluid dynamics and ocean wave evolution. Current CFD methods for high-fidelity solutions of PDEs in fluid dynamics require large meshes with fine resolution and short time steps. The solutions of the stochastic PDEs that describe the dynamics of ocean wave evolution strongly depend on the resolution of the spatial and temporal discretization of the ocean environment. Both these sets of PDEs are normally solved by either numerical or empirical methods with multiple approximations and different levels of fidelity/resolution. The fast development of various Machine Learning algorithms provides opportunities to build explicit/black-box models in terms of pre-defined boundary and initial conditions.

Last Application Date: August 14, 2022

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22. PhD student position on interpretable conversational AI

Summary of Doctoral Project:

The project will be carried out in the Applied Artificial Intelligence (AAI) research group. In the project, building on our previous research in conversational AI, we aim to develop and apply (for example in healthcare) a state-of-the-art dialogue manager for intelligent virtual agents that, moreover, will be fully interpretable by design (a key theme in our research), unlike the currently popular black box models (e.g. deep neural networks) that, however, will also be used, for example in benchmark comparisons. The AAI group conducts research in a wide variety of topics, e.g. automated transportation (road, rail, and sea), mobile robots, and conversational AI, with interpretability as a common theme. In the field of conversational AI, the AAI group is working on several topics, e.g. text sentiment classification, dialogue managers for intelligent virtual agents, and natural language modelling in general, with applications primarily in health care (even though other applications may be relevant as well).

Last Application Date: August 1, 2022

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23. PhD student position in aerothermal design of light-weight heat-exchangers for aircraft

Summary of Doctoral Project:

The aim of this Ph.D. position is to investigate and provide experimental proof of concept of climate friendly propulsion technology with the potential to substantially reduce non-CO2 and CO2 emissions in aviation. The project involves investigating heat-management concepts for forward looking ultra-efficient propulsion architectures and will target the maturation of technologies from conceptualization all the way to experimental validation. The research is highly multidisciplinary and will revolve around the aerothermal and mechanical design of aerospace grade light-weight compact heat-exchanger technology. The work includes both numerical modeling and experimental validation of novel concepts in collaboration with some of Europe’s top institutions in aerospace and engine OEM’s.

Last Application Date: August 1, 2022

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24. PhD student position in TechForH2: Hydrogen storage solution integration for aviation

Summary of Doctoral Project:

The research group of turbomachinery and aeroacoustics, consisting of two professors, one associate professor, one researcher and 10 Ph.D. students and is part of the fluid dynamics division. The group works mainly within the area of turbomachinery applications for aero engines. The research focus is on system analysis, engine concept evaluation, and detailed high speed compressible flow in compressors, turbines, transition ducts, heat-exchangers, combustors/afterburners, and nozzles. The turbomachinery and heat-exchanger design capabilities range from simple mean-line calculations to detailed large-eddy simulations using in-house codes developed for the simulation of high-speed internal compressible flows. Validation data is provided by our compressor and turbine exhaust rigs at Reynolds number representative flow conditions.

Last Application Date: August 1, 2022

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25. PhD student position in Quantum sensing and foundations with levitated superconducting particles

Summary of Doctoral Project:

The goal of the PhD project is to explore the generation of quantum states, in particular squeezed states, in the center-of-mass motion of levitated particles. These particles can weigh between nanogram and microgram. A fascinating and exciting part of the project will be to study potential mass-limits for generating these quantum states. Such limits can be given by various known sources of decoherence, but also by unconventional ones. The project will be based on the experimental platform of magnetic levitation of superconducting microparticles. Quantum states of the particle motion can be generated, when the motion is coupled to superconducting circuits, such as flux-tunable microwave resonators or superconducting qubits. The overall vision of the project is to develop novel quantum sensing technologies that explicitly make use of massive quantum sensors. The project encompasses simulation, fabrication and experiments in a collaborative working environment. We will train you in all required techniques such that you will get a head start for performing your project.

Last Application Date: August 8, 2022

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26. PhD student position in Mechanical Systems Dynamics

Summary of Doctoral Project:

The aim of the project is to establish a computational framework for analysis and design of condition monitoring of controlled mechanical systems such as heavy machinery, robots and suspension systems. For your work you will use a combination of methods from physics-based mathematical modelling, dynamic analysis, system monitoring with a multitude of independent sensors and non-deterministic excitation, where the ability to mix theoretical (mathematical and numerical) and experimental results is essential. Throughout the project there may be opportunities to interact and collaborate with personnel at RISE (Research Institute of Sweden) on measurement techniques as well as colleagues at the railway mechanics competence centre CHARMEC (Chalmers railway mechanics).

Last Application Date: August 30, 2022

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27. PhD student position in information-theoretic generalization bounds

Summary of Doctoral Project:

Machine learning algorithms are a crucial component of the data-scientist toolbox. However, the empirical success of modern machine-learning algorithms is still a puzzle to theoreticians. The goal of this PhD project is to use tools from information theory i) to explain why modern machine-learning algorithms perform so well and ii) to guide their design. Additional information on the project are available here. The selected candidate, who will be jointly supervised by Prof. Giuseppe Durisi at the Department of Electrical Engineering, and Prof. Rebecka Jörnsten at the Department of Mathematical Sciences, will be part of a large network of junior and senior researchers at Chalmers performing research in theoretical machine learning.

Last Application Date: 16 August, 2022

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28. PhD student position in 2D nanomaterials for next generation batteries

Summary of Doctoral Project:

The main research activities will be conducted at Division of Materials and Manufacture with close collaboration with researchers from international Universities. The graphene and related 2D materials will be synthesized and used as electrode materials for next generation batteries, including multivalent ion battery, sodium ion battery, Li-S batteries. Their energy storage mechanisms will be investigated by advanced characterization methods. You are expected to develop new ideas and solve problems that arise as you carry out the project. You will be part in different project groups and the work has an experimental focus. Being part of this collaborative project, you will be involved in a multidisciplinary environment and working with international researchers. 10 percent of your time will be dedicated to departmental duties, especially teaching on the undergraduate level.

Last Application Date: 1 August, 2022

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29. PhD student in compilation of quantum algorithms to quantum hardware

Summary of Doctoral Project:

We are looking for a PhD student to optimize compilation of programs that are to be run on our quantum computers. Improving the compilation of abstract quantum algorithms into hardware-specific instructions is crucial to make quantum computers useful. The work in this project is to explore and improve methods to (1) map logical qubits in a hardware-agnostic quantum algorithm to physical qubits in specific quantum-computing hardware, (2) insert a minimum number of extra operations to connect qubits that need to interact but are not nearest neighbours after the initial mapping, and (3) compress the resulting quantum circuit as much as possible. One tool for tackling all these problems is machine learning.

Last Application Date: August 31, 2022

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30. PhD student position in Supply Chain Management: business models for sustainable transport

Summary of Doctoral Project:

In this project you will be investigating new business models for sustainable transport solutions. The focus will be on studying how the transport sector transitions to electromobility and how firms collaborate to implement new business models, such as sharing charging infrastructure. These new business models are innovative, have a strong focus on environmental sustainability, and require collaboration among multiple actors. This PhD student project will build on our research of business relationships and organizational management in sustainable transport. You will be able to influence the direction of your research. Our on-going research focuses for example on supply networks, sustainable transport solutions and business models. The focus is set on the interaction and the business relationships among multiple actors.  

Last Application Date: 2022-08-15

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31. PhD student position in Service Innovation Management

Summary of Doctoral Project:

We are looking to recruit a PhD student within the field of service innovation management. Many traditionally product-focused companies are innovating by integrating services to their physical products as a competitive strategy, known as servitization. Servitization is essentially about competing through value propositions that integrate services with product offerings. Servitization is also described as the process of transforming the company from a product centric to a service logic. However, companies are facing big challenges in this servitization transformation. This both regarding organizational structure and processes, as well as their strategy processes. The transition towards developing combined product-service innovations often takes significantly longer time than expected, and the proportion of the company’s sales that comes from different types of services often does not grow as fast as expected. In the context of service development and offering the need for personal interaction and adjustment of the service according to individual customers’ specific need is especially important.

Last Application Date: 2022-08-31

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32. PhD position for PEM fuel cell temperature management for high performance

Summary of Doctoral Project:

Within the Internal combustion engine and propulsion systems division we have a project designed to investigate PEMFC temperature management for high performance. Although the methods developed focus on heavy road transport the model framework should be adaptable for use also for shipping/rail and aviation applications. You will develop a system model that combines the mass flow and heat dissipation of an active cooling system to the temperature dependent behavior of the PEMFC electrochemistry and heat transfer within the physical stack model. There is a need to develop closer, faster heat control which can drive efficiency savings in some conditions, but also allow for better performance and wider performance envelope for a given PEMFC system.

Last Application Date: August 7, 2022

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33. PhD student in computer architecture acceleration of quantum simulation

Summary of Doctoral Project:

This project is part of QuantumStack, a 5-year project funded by the Swedish Foundation for Strategic Research, with the aim of developing a full software stack for programming quantum computers. The project is integrated with the Wallenberg Centre for Quantum Technology (WACQT), a 12-year, billion-SEK initiative started in 2018 with the purpose of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum computer. Our ambitious goal at Chalmers is to build this quantum computer with 100 superconducting qubits and to apply it to real computational problems that cannot be efficiently solved on a conventional computer. Such computationally hard problems are found, e.g., in optimization, quantum chemistry, materials science, machine learning, etc.

Last Application Date: 31st August, 2022

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Chalmers University of Technology has huge a campus in Sweden and widely known as for its contribution in top notch education and research. The contribution of Chalmers University of Technology is not only limited to natural sciences and engineering but it also offers high quality research as well as higher education in bio-medical sciences, social sciences, humanities, psychology, education, architecture etc.

1. 2 PhD student positions in systems and languages for cybersecurity and privacy

Summary of Doctoral Project:

The PhD students will join a high-profile group of researchers on cybersecurity and privacy, the Chalmers Security Lab. Software is often the root cause of vulnerabilities in modern computing systems. By focusing on securing the software, we target principled security mechanisms that provide robust protection against large classes of attacks. Information about the division The Department of Computer Science and Engineering is a joint department at Chalmers University of Technology and the University of Gothenburg, with activities on two campuses in the city of Gothenburg. The department has around 270 employees from over 30 countries. Our research has a wide span, from theoretical foundations to applied systems development. We provide high quality education at Bachelor’s, Master’s and graduate levels, offering over 120 courses each year. We also have extensive national and international collaborations with academia, industry and society.

Last Application Date: 31 May 2022

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2. PhD student position in HPC Programming Models and Computer Architectures

Summary of Doctoral Project:

The Computer Architecture Research Group, within the Division of Computer Networks and Systems under the leadership of Professor Per Stenström, is conducting research on design principles for the next generation of computer systems. To ease the programming task and yet achieve high computational performance at as high energy efficiency as possible is an important objective in the knowledge generation process that the group contributes with. To this end, the group has a solid track record and a long-term focus on contributing to design principles of parallel computers. Four senior faculty members, six postdocs and twelve Ph.D students are engaged in research in Computer Architecture. The group is a founding partner of the HiPEAC European Network of Excellence and engaged in several EU and national projects with strong ties to industry, among them the European Processor Initiative (EPI).

Last Application Date: 13th June, 2022

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3. PhD student position in Computational tools and design of lightweight composite hydrogen tanks

Summary of Doctoral Project:

Your project is part of a research campaign to develop lightweight hydrogen storage tanks. To increase its energy density and to reduce pressure levels hydrogen has to be stored in liquid form (at cryogenic temperatures) for aircraft applications. This leads to that the material in the tank is subjected to extreme thermomechanical conditions, for which additional competence needs to be developed. In the proposed PhD project, we aim to develop efficient computational methods that can be used to design future composite hydrogen tanks, but also an increased understanding of factors that influence the material designs and that support vehicle integrated optimisation of cryo tanks.

Last Application Date: 10 June, 2022

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4. PhD student position in Precision Nutrition: Dietary carb quality, multi-OMICs and disease risk

Summary of Doctoral Project:

We are looking for a motivated Ph.D. student that wants to join a newly established group to advance Chalmers precision nutrition and data-driven multi-OMICs research. The Ph.D. project will focus on nutritional metabolomics and disease risk analyses in large human cohorts, with additional contributions to microbiome, genome, and proteome analyses. This four-year research-intensive Ph.D. position aims to facilitate an academic research career. We strongly encourage a short-term research stay (~3 months) at Harvard as part of the PhD-education. As a doctoral candidate, you will benefit from Chalmers excellent postgraduate educational infrastructure and the position’s funding through the powerful Data-Driven Life Science initiative, providing exceptional research and career development opportunities.

Last Application Date: July 15, 2022

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5. PhD student position in Precision Nutrition: Multi-OMICs imprint of low-carb diet and disease risk

Summary of Doctoral Project:

We are looking for a motivated Ph.D. student that wants to join a newly established group to advance Chalmers precision nutrition and data-driven multi-OMICs research. The Ph.D. project will focus on nutritional metabolomics and disease risk analyses in large human cohorts, with additional contributions to microbiome, genome, and proteome analyses. This four-year research-intensive Ph.D. position aims to facilitate an academic research career. We strongly encourage a short-term research stay (~3 months) at Harvard as part of the PhD-education. As a doctoral candidate, you will benefit from Chalmers excellent postgraduate educational infrastructure and the position’s funding through the powerful Data-Driven Life Science initiative, providing exceptional research and career development opportunities.

Last Application Date: July 15, 2022

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6. PhD position in Gender, Technology and Medicine

Summary of Doctoral Project:

The Division of Science, Technology and Society (STS) is a young and vibrant division at the Chalmers University of Technology. We have an open and friendly research environment, where you can delve deep into research questions particular to your own field as well as easily find top researchers from other fields who have long experience in interdisciplinary research, and are eager to bring in new perspectives to their own work. There are also strong collaborations with other universities and divisions, such as within gender studies and science and technology studies. Information about the research The Division of Science, Technology and Society, part of The Department of Technology Management and Economics at Chalmers University of Technology, will hire a PhD student in Social Studies of Gender, Technology and Medicine. The research may be oriented towards areas such as gender, biomedical technologies and the body; gendered dimensions of medical treatments and medical engineering; the consequenses of introducing and/or using gender-specific medical technologies in healthcare.

Last Application Date: June 26th, 2022

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7. PhD student position in edge computing and decentralized learning

Summary of Doctoral Project:

Billions of connected devices such as IoT sensors, wearables, drones, and autonomous vehicles continuously produce and process data. Processing this massive amount of data to turn it into intelligent behaviors and decision-making requires the availability of suitable computing frameworks. In most scenarios, data is inherently distributed and can be sensitive. Centralized over-the-cloud learning is not well adapted for this setting: uploading vast amounts of data to the cloud puts enormous pressure on existing communication networks, entails unacceptable long propagation delays, and poses privacy concerns. To address this issue, edge computing is envisioned as a new paradigm whereby computational power is moved from the cloud closer to where the data is generated, i.e., the wireless edge. Particularly, federated learning and swarm learning have emerged as the most promising approaches to decentralized learning at the network edge. The overarching goal of this project is to developing low-latency, secure, and private decentralized learning and edge computing schemes.

Last Application Date: 20 June, 2022

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8. PhD student position in Supply Chain Management: business models for sustainable transport

Summary of Doctoral Project:

In this project you will be investigating new business models for sustainable transport solutions. The focus will be on studying how the transport sector transitions to electromobility and how firms collaborate to implement new business models, such as sharing charging infrastructure. These new business models are innovative, have a strong focus on environmental sustainability, and require collaboration among multiple actors. This PhD student project will build on our research of business relationships and organizational management in sustainable transport. You will be able to influence the direction of your research. Our on-going research focuses for example on supply networks, sustainable transport solutions and business models. The focus is set on the interaction and the business relationships among multiple actors.    The Department of Technology Management and Economics broadly researches the interaction between technology development, industrial systems, society, people, and the environment. The department is organised in six divisions for research and teaching.

Last Application Date: July 30th 2022

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9. PhD student position in advanced hydrometallurgy for metal recovery from the secondary sources

Summary of Doctoral Project:

Sustainability and reliability of raw material sources are significant problems of modern society, and securing the material supply is the bottleneck that we can solve by creative recycling approaches. As the team member of the research group, the PhD student will challenge to overcome this issue and support the society to reach sustainability goals. This position will allow the student to develop skills and knowledge on not only the batteries recycling, chemical/metallurgical technologies, and advanced material characterization techniques but also communication, reporting, and creative thinking. Information about the project The project aims to demonstrate a circular material flow for critical raw materials in the battery industry by developing efficient recycling and combined material production processes. The research challenges the current available technologies and aims to develop more sustainable and efficient methods in respect to material recovery rate and impact of the technology on the environment.

Last Application Date: 31 May 2022

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10. PhD student position in Molecular Doping of Conjugated Polymers

Summary of Doctoral Project:

We are looking for a highly motivated PhD student to join our research group at Chalmers. Your project will be part of the ERC funded project “Electrical Modulation of Elastic Moduli (Elmo)”. The goal of your research will be to understand how molecular doping influences the mechanical properties of conjugated polymers. You will then use the knowledge gained to produce stimuli-responsive fibers that can be switched from soft and stretchable to stiff and tough, and use those fibers for the fabrication of electronic textile devices. You will work closely with several postdocs and PhD students in our group, as well as with several external collaborators, and together study the mechanical and electrical properties of different types of conjugated polymers and polymer fibers.

Last Application Date: 7 June 2022

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11. PhD student position in Electrochemistry and Wearable Electronics

Summary of Doctoral Project:

We are looking for a highly motivated PhD student to join our research group at Chalmers. Your project will be part of the ERC funded project “Electrical Modulation of Elastic Moduli (Elmo)”. The goal of your research will be to understand how electrochemical doping influences the mechanical properties of conjugated polymers. You will then use the knowledge gained to produce stimuli-responsive fibers that can be switched from soft and stretchable to stiff and tough, and use those fibers for the fabrication of electronic textile devices. You will work closely with several postdocs and PhD students in our group, as well as with several external collaborators, and together study the mechanical, electrical and electrochemical properties of different types of conjugated polymers and polymer fibers.

Last Application Date: 7 June 2022

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12. PhD position in Ethics and Technology

Summary of Doctoral Project:

The Department of Technology Management and Economics at Chalmers University of Technology will hire a PhD student in Ethics and Technology. The position is based at the Division of Science, Technology and Society. Our research and education covers a wide area including Ethics and Technology, Environmental Humanities, History of Science and Technology, Science and Technology Studies (STS) as well as Gender and Technology, Sociology, and Valuation Studies. Major responsibilities: Your major responsibilities are to pursue your own doctoral studies (80% of full time). The position also includes departmental work (20% of full time), such as teaching in ethics and technology and similar subjects as well as doing administrative tasks. All of this will take place over a period of five years.

Last Application Date: 22 June 2022

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13. PhD student in Data Driven Research on Microbial Interactions

Summary of Doctoral Project:

This project aims to uncover interactions between bacteria in microbiomes that are important for community stability and resilience to colonization by pathogens. In addition, the project seeks to unearth which environmental and genetic factors that are important determinants of bacterial invasiveness and community stability. The PhD project revolves around using large-scale data-driven approaches (including machine learning and metagenomic sequence analysis), combined with high-throughput molecular methods and established theories developed for macro-organism ecology to decipher the mechanisms behind interactions in microbial communities. The project is financed by the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), and the student will participate in a national research school on data-driven life science. While working in the group, the student will interact with other lab members with expertise in microbiology, bioinformatics and large-scale data analysis. Close collaborations exist with partners in Gothenburg and nationally, as well as with international partners.

Last Application Date: June 5, 2022

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14. PhD student in Data Driven Antibiotic Resistance Research

Summary of Doctoral Project:

Rapidly increasing antibiotic resistance necessitates innovative solutions to halt its spread. The work on preventing antibiotic resistance in the Bengtsson-Palme lab is focused on: 1) understanding and limiting spread of antibiotic resistance through the environment, 2) identifying genes involved in antibiotic resistance, 3) defining the conditions that select for antibiotic resistance in different settings, and 4) building a framework to allow implementation of monitoring for antibiotic resistance in the environment. This PhD project will be involved in all of these tasks, and the distribution between them can be somewhat influenced by your interest. The PhD project revolves around using large-scale data-driven approaches (including machine learning and metagenomic sequence analysis) to identify risk environments, define potential novel antibiotic resistance genes, and building a platform for AMR monitoring data.

Last Application Date: June 5, 2022

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15. PhD student position in the Computational Complexity of Statistical Inference

Summary of Doctoral Project:

The PhD project will be focused on the computational complexity of statistical inference. Classical methods in statistics often focus on identifying limits on statistical estimation in terms of the amount of data or the signal-to-noise ratio required for estimation to be possible. However, in many cases where statistical estimation is known to be possible (e.g. detecting communities in a social network, the sparse version of principal component analysis etc.) all known algorithms for estimation require computationally inefficient brute force search. At the same time the best computationally efficient algorithms only work at much lower signal-to-noise ratios, or by consuming much larger amounts of data than the known inefficient algorithms. This phenomenon suggests that there are fundamental computational limits for statistical inference, and that there is a need to develop a mathematical theory, which goes beyond classical statistics, to explain these limits. In this project, we will contribute to the development of such a theory by utilizing mathematical tools from the theory of approximation algorithms and computational complexity theory. We will also explore connections between the complexity of statistical inference and classical questions in algorithms and complexity theory.

Last Application Date: May 31, 2022

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16. PhD student – Multifunctional carbon fibres for structural batteries

Summary of Doctoral Project:

Your project will be part of the activities on Structural battery composites at Chalmers. Chalmers has pioneered this research for more than one decade Currently, the Chalmers’ team comprise approximately 15 people. The research is performed in an interdisciplinary team across Chalmers and at our partners at Deakin University in Australia. The project is funded by the U.S. Office of Naval Research. The PhD position is for five years, with research training spanning over four years, and an additional year involves teaching. Batteries in today’s electric cars and imminent electric aircraft constitute a large part of the vehicles’ weight, without fulfilling any load-bearing function. A structural battery, on the other hand, is one that works as both a power source and as part of the structure – for example, in a car body, aircraft interior or laptop casing. This is termed ‘massless’ energy storage, because in essence the battery’s weight vanishes when it becomes part of the load-bearing structure. Calculations show that this type of multifunctional battery could greatly reduce the weight of an electric vehicle.

Last Application Date: 5 June, 2022

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17. PhD student position in usable privacy and security

Summary of Doctoral Project:

The PhD student will join our ambitious project WASP NEST CyberSecIT, a framework project conducted jointly with KTH and Umeå University to explore the security and privacy of IoT applications, with the emphasis on software. NESTs are flagship projects of the Wallenberg AI, Autonomous Systems and Software Program (WASP). The PhD student will thus enjoy the benefits of the WASP graduate school. The PhD student will be supervised by Prof. Simone Fischer-Hübner (recipient of a number of awards by EU H2020, SSF, Google). The PhD student positions are limited to five years and normally include 20 per cent departmental work, mostly teaching duties. Salary for the position is as specified in Chalmers’ general agreement for PhD student positions, currently starting from 31,000 SEK per month before taxes.

Last Application Date: 31 May 2022

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