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35 PhD Degree-Fully Funded at Chalmers University of Technology, Gothenburg, Sweden

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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: PhD Student in Assured Autonomous Systems (Two open positions)

The goal of this PhD project is to develop techniques and tools for the construction of assured learning-enabled ACPS with a focus on runtime assurance. In this project, you will develop simulation-based methods for the construction of runtime monitors that identify under what conditions an ML component may risk the safe operation of the system. The task of the monitor is to recognize these scenarios and, if necessary, force the system to run using trustable components. A key challenge in developing such monitors is to handle noisy or missing data. You will build on the latest advances in formal methods and statistical learning theory, to develop methods that allow for the construction of monitors with guarantees on their correctness and reliability.

Deadline : 2023-09-01

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(02) PhD Degree – Fully Funded

PhD position summary/title: PhD Student Position in Generative models for Inverse Molecular Design

Inverse molecular design is the process of generating molecules with bespoke properties. Examples include a drug binding a specific biological target or an enzyme with high thermal stability. As such, inverse molecular design is a holy grail of chemical and biological engineering. However, the space of possible compounds or protein sequences is enormous, which excludes explicit screening or discriminative approaches. Here we seek to build a generative AI system that leverages multi-scalar and multi-modal data to generate compounds conditioned on their target properties. The selected candidate will join an interdisciplinary team in their efforts to target ion-channel proteins to modulate their function to a possible therapeutic effect. Machine learning provides new exciting new opportunities in the natural sciences such as physics, chemistry, and biology. Its potential application areas span from designing new drugs against multi-resistant pathogens and understanding the impact of gene defects on a protein’s function to speeding up computer simulations to understand fundamental scientific phenomena and design optimal algorithms for near-term quantum computers. The path toward these applications can leverage the power of deep learning to represent and process high-dimensional data effectively and encode natural laws and symmetries.

Deadline : August 14, 2023

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(03) PhD Degree – Fully Funded

PhD position summary/title: Four PhD Positions in Computer Science and Engineering

Third-cycle studies comprises four years of full-time studies and leads after a successful completion to a Degree of Doctor of Philosophy in Computer Science and Engineering. Those who are employed as doctoral students must primarily focus their efforts on their doctoral education. However, a doctoral student may to a limited extent work with education or administration, so-called departmental service in a teaching or supporting role (for example, teaching assistance, membership in committees, or supervision of bachelor and master’s theses), which can be concentrated on certain parts of the year depending on the needs of the business in consultation with the student. Such work may, before the doctoral degree is completed, not cover more than 20% of full-time work over the study period. If departmental service is performed corresponding to 20% of full-time study time, the employment contract is extended by the corresponding period, which gives a total employment of five years.  The purpose of the education is for the doctoral student to acquire the knowledge and skills required to be able to conduct independent research in the field of service, and to contribute to the development of knowledge in the subject by writing a scientific dissertation. The doctoral education is in total 240 higher education credits and includes thesis work corresponding to 180 higher education credits and courses corresponding to 60 higher education credits.  

Deadline : 2023-08-20

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(04) PhD Degree – Fully Funded

PhD position summary/title: PhD student position in Materials Chemistry for Stable Organic Electronics

Doping is essential for the optimization of the electronic performance of organic semiconductors, and as such essential for a wide range of emerging technologies from sustainable energy harvesting via organic photovoltaics and thermoelectrics to wearable electronics and bioelectronics. The doping process involves a chemical or electrochemical reaction that allows to tune the electrical and electronic properties of an organic semiconductor. The resulting doped state, however, is prone to evolve with time, which limits the lifetime of electronic devices. The project will leverage concepts from the field of molecular glasses to realize stable organic semiconductors and devices. Your specific project will entail a detailed study of the phase behaviour and glass formation of dopant/semiconductor pairs, using a suite of characterization methods from thermal and mechanical analysis to optical spectroscopy and various scattering techniques. It can be anticipated that the project will have considerable impact on the field of organic electronics by enabling the more widespread usage of some of the most promising materials, which will accelerate further development of many emerging technologies.

Deadline :  August 15, 2023

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(05) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Combined Software Co-Piloting and Verification

The research to be performed in this PhD position is part of a project ‘TriCo — Triple Co-Piloting of Implementation, Specification, and Tests’. The goal is to enable software developers to exploit the power of rapidly emerging AI based code synthesis while achieving a high level of robustness. The project will provide a co-piloting methodology that enables the developer to create code, tests, and specifications simultaneously, and to guide the developer in this process by suggesting modifications in the respective other artefacts whenever the developer changed one of them, such that the three are kept consistent. The approach uses machine learning to come up with adaption suggestions (prompted by incremental edits in the other artefacts), and exact, logic-based techniques to constantly check the conformance among the artefacts. See also https://doi.org/10.1007/978-3-031-19849-6_11

Deadline : 2023-09-01

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(06) PhD Degree – Fully Funded

PhD position summary/title: PhD student position in New Materials Concepts for Stable Organic Solar Cells

The Müller Research Group focuses on the physical chemistry and materials science of organic semiconductors, polymer blends and composites, and develops new plastic materials for wearable electronics and energy technologies ranging from organic solar cells and thermoelectrics to power cables. All research is conducted in co-operation with other universities/institutes and/or industry. Presently, the group consists of 1 Professor, 1 senior scientist, 3 Postdocs and 8 PhD students. The development of new acceptor materials for organic solar cells has led to a steady increase in device efficiencies, reaching more than 17% today. A remaining challenge is the relatively poor long-term stability of organic solar cells. The goal of your research will be to understand how the use of mixtures of acceptor molecules influences and improves the stability of organic solar cells. 

Deadline :  August 15, 2023

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(07) PhD Degree – Fully Funded

PhD position summary/title: PhD student within WWSC: enzymes for biomass valorisation

As a PhD student, you will be responsible for the daily management of your research project, including planning, performing experiments and critically analyzing your results. The laboratory work includes microbiology, cloning, protein production and purification, enzymology, analysis of enzyme action on biomass and systems biology analysis. You will be expected to communicate your results in different settings, from meetings with supervisors and collaborators, to presentations at the research division and at international conferences. Additionally, you will be expected to develop your scientific writing skills by authoring articles for publication in scientific journals. As a member of the Wallenberg Wood Science Center you will also have the opportunity to participate in the Wallenberg Wood Science Center Academy courses and activities, which take place at different locations in Sweden and the Nordic Countries.

Deadline : August 31, 2023 

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(08) PhD Degree – Fully Funded

PhD position summary/title: PhD student position in Nanocellulose Composites for Wearable Electronics

Wallenberg Wood Science Center (WWSC) is a research center striving for scientific excellence with a focus on new materials from trees. The center creates knowledge and builds competence for an innovative and sustainable future value creation from forest raw materials. WWSC is a multidisciplinary collaboration between KTH, Chalmers, and Linköping University. The base is a donation from Knut and Alice Wallenberg Foundation, and the forest industry is supporting WWSC via the national platform Treesearch. This WWSC-project will be conducted at the department of Chemistry and Chemical Engineering within the Müller Research Group, which focuses on the physical chemistry and materials science of organic semiconductors, polymer blends and composites, and develops new plastic materials for use in the fields of wearable electronics and energy technology. All research is conducted in co-operation with other universities/institutes and/or industry. Presently, the group consists of 1 Professor, 1 permanent researcher, 3 Postdocs and 8 PhD students.

Deadline : 15 August, 2023

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(09) PhD Degree – Fully Funded

PhD position summary/title: Phd student position in thermochemical conversion technology

The project is part of a larger collaboration with European industries and addresses their need for deeper knowledge on the thermochemical conversion technologies. Particularly, the conversion of heterogeneous waste streams and the technological consequences are in the focus. The research group in which you will be active has its own pilot scale facility for pyrolysis and gasification trials and advanced analytics for product characterization which is the backbone of our research. Complementary experimental lab facilities for fluid bed conversion and plasma conversion are available to investigate specific aspects isolated. Your work will involve both planing, execution and evaluation of experimental campaigns as well as modeling with tools like Chemkin and Matlab/Python. Part of the work will be based on methods of which there is extensive experience in the research group at Energy Technology, but the project will also involve development of new methodologies. Your work will be performed in collaboration with industrial partners as well as other researchers and it will be part of your responsibilities to keep contact with the project partners. An important part of your responsibilities is also to efficiently communicate your results through scientific conferences and journals as well as project meetings and reports.

Deadline : 2023-08-27

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(10) PhD Degree – Fully Funded

PhD position summary/title: 

 

Deadline : Open until filled

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(11) PhD Degree – Fully Funded

PhD position summary/title: PhD student positions at Advanced Semiconductor System Design Center

The technology landscape for semiconductor systems has drastically changed. To meet the demands of higher data rates, greater security, and improved energy efficiency means that system optimizations must be conducted across all the layers from analog- and digital circuit design to system architecture and software. In addition, as more and more compute capabilities are moving to the edge, optimizations to expend less power need a cross-layer approach. To this end, Chalmers – Lund Advanced Semiconductor System Design Center (classIC) is a newly started major research initiative aiming at advancing semiconductor system design through an interdisciplinary approach to take system performance and power to an entirely new level.

Deadline : Open until filled

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(12) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Adaptive GaN Transmitter Frontend for increased Back-off Efficiency

Investigate a GaN transmitter frontend design that is designed to be adapted (bias, load impedance, etc.) dynamically with the RF signal envelope. The adaption signal is provided by an accompanying driver PA chip that is co-designed in CMOS and covered by separate PhD projects. This adaptation will allow for a transmitter frontend that simultaneously provides higher linearity and energy-efficiency compared to the state of the art, while maintaining a small form-factor which is essential for dense integration environments. You will work in close collaboration with others Ph.D. students to find the best signal split in terms of RF, bias, envelope, etc. for a globally optimum solution taking the characteristics of the different technologies (CMOS, GaN) into account.

Deadline : August 31, 2023

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(13) PhD Degree – Fully Funded

PhD position summary/title: PhD student position in Energy Efficient and Digitally Enhanced CMOS Transmitters

In this research project you will investigate how analog/RF- and digital circuits can be jointly designed and optimizated to maximize energy efficiency and reconfigurability in communication and sensor transmitters for emerging virtual- and extended reality (VR/XR) and environmental sensing applications. All critical parts of the transmitter, from digital-to-analog conversion, frequency up-conversion- and power amplification will be analysed, modelled, and implemented with the overall objective to understand efficiency enhancement and adaptivity opportunities and bottlenecks in typical application scenarios. You will be part of classIC (Chalmers-Lund Advanced Semiconductor System Design Center), which is a multi-disciplinary joint venture involving Chalmers and Lund University and strongly supported by leading industries. This position is hosted by the Microwave Electronics Laboratory at the department of Microtechnology and Nanoscience, but will involve a close collaboration with researchers at other departments at Chalmers, Lund University and classIC member industries.

Deadline :  August 31, 2023

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(14) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Management of Parallelism and Locality in Processing-Near Memory Nodes

This project is part of classIC (Chalmers-Lund Advanced Semiconductor System Design Center) which is a cross-disciplinary joint venture involving Chalmers and Lund University. At Chalmers, ClassIC spans three departments, viz. Microtechnology and NanoscienceElectrical Engineering, and Computer Science and Engineering. There are strong links to all involved Chalmers departments as well as to Lund University in this project. There is a possibility to physically be located either at Chalmers or at Lund University.

Deadline :August 31, 2023

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(15) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Efficient Digital Implementation of Advanced Algorithms

This project is part of classIC (Chalmers-Lund Advanced Semiconductor System Design Center) which is a cross-disciplinary joint venture involving Chalmers and Lund University. At Chalmers, classIC spans three departments, viz. Microtechnology and NanoscienceElectrical Engineering, and Computer Science and Engineering. There are strong links to all involved Chalmers departments as well as to Lund University in this project. Hardware implementation of advanced algorithms – a cornerstone of our society – poses many challenges. We will address scalable implementation of next-generation algorithms that are key enablers in computing and communication, for radio networks, image processing, automotive systems, etc. Algorithms of interest include machine learning, error correction, detection/precoding, and information fusion, and system scenarios range from adaptive low-power edge circuits to throughput-oriented accelerators.

Deadline :August 31, 2023

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(16) PhD Degree – Fully Funded

PhD position summary/title: PhD student position on Signal Processing in Communication Systems

In this position, at the division of Communications, Antennas and Optical Networks, you will perform research on energy-efficient signal processing for emerging communication applications with many antennas (MIMO). Of particular focus is the development of algorithms that can help the analog and digital components in communication system to run efficiently, and to implement these algorithms on digital hardware (CPUs, FPGAs, ASICs), with a strong focus on energy efficiency. As a key member of a cross-disciplinary team your research will combine digital precoding, nonlinear hardware modeling and compensation algorithms with experimental real-world investigations using Chalmers advanced multi-antenna testbed. Your research is an important part of our goal to demonstrate energy efficient and high capacity wireless communication systems.

Deadline :  August 31, 2023

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(17) PhD Degree – Fully Funded

PhD position summary/title: PhD student position in Water saving methods in drinking water systems

Safe drinking water is essential for society, but one of the challenges is to design a robust system delivering drinking water every hour, every day, with no disruptions. Since most of today’s drinking water pipes were laid in the ground in the 1950s-1980s it is a deteriorating pipe network infrastructure affecting society. The water leakage in Sweden is around 20% (but up to 50% in some systems) of the produced drinking water in average. Due to climate change effects, more raw water shortages/scarcities have been observed globally worsening the situation. Despite a country like Sweden, which historically had an abundant supply of water, raw water shortages have occurred locally in several places in the south-east the last decade. With supplies becoming limited, it is essential to minimize loss of drinking water in a cost-effective way. Therefore, we need to manage our water sources more carefully, make sure we lose a minimum of drinking water in the pipe network, but also saving more water within buildings, identify and reuse water such as greywater and rainwater both in private and business buildings. This PhD project will focus on identifying and optimising leakage detection methods for distribution networks, mainly methods and technologies that are available today but also the latest emerging methods and techniques will be included. Analyses of improvements and optimisations of today’s management methods of pipe repair and renewal strategies, to save drinking water, will also be included in the PhD project. Strategies to reduce water leakage in the distribution system will be evaluated using technical effectiveness assessment and societal cost-benefit analyses as well as statistical analyses of existing production and leakage data.

Deadline : 2023-08-20

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(18) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in machine learning – reinforcement learning

This position is centered around the fundamental principles of machine learning, with a specific emphasis on reinforcement learning and active learning. Machine learning encompasses a range of data-driven techniques that derive models for tasks such as prediction, exploratory data analysis, and explanation. The primary focus of this position is on active learning, employing advanced reinforcement learning methods within a multi-agent (federated) framework. Reinforcement learning examines the interactions between an agent and its environment, aiming to maximize cumulative rewards. Within this project, we will tackle various active learning problems by formulating them as reinforcement learning tasks, with an emphasis on sample efficiency. Particularly, we will explore the realm of federated deep reinforcement learning, facilitating collaborative learning across different computing nodes and locations.

Deadline :  2023-07-31

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(19) PhD Degree – Fully Funded

PhD position summary/title: PhD student position in closed-loop supply chains

As a PhD student, your major responsibility is to pursue doctoral studies in relation to some specific research aim. Overall, PhD studies include a number of doctoral courses, reviewing literature, designing research studies, interacting with industrial companies, collecting and analysing empirical data, and reporting research results. You will take part in ongoing and future projects at the division in the area of supply chain planning and visibility related to circular economy. The exact focus of the work will be decided in interaction with the main supervisor. As a PhD student you take an active role in this research in preparing for and collecting empirical data, conducting analysis and presenting results. During the project, results will continuously be presented to the public, to the industry, at international conferences, and in scientific publications. Written and oral communication is crucial.

Deadline :2023-08-31

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(20) PhD Degree – Fully Funded

PhD position summary/title: PhD student in robotic 3D printing with architectural bio-materials

Our research project aligns with the circularity and decarbonization agendas of contemporary architectural design, focusing on recycling and reuse of existing material resources to save our severely exploited natural environment. The ambition is to develop several variants of a novel bioorganic material recipe based on upcycled biomass comprising cellulose, microorganisms and other organic ingredients, and to demonstrate its application potentials in architectural design, renovation, restoration and preservation through robotic 3D printing. To establish this cutting-edge material solution, the project features a strong interdisciplinary agenda, encapsulated in the synergy of knowledge from three fields: architecture, biology and chemistry.

Deadline : 13 August, 2023

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(21) PhD Degree – Fully Funded

PhD position summary/title: PhD positions in Quantum Nanophotonics

As a PhD student, your main task is to lead and conduct research in collaboration with others. You will be expected to help develop your skills, the team, and contribute with your creative ideas. We value a collaborative attitude and an interest in working both independently and collaboratively in a team environment, sharing best practices and assuming responsibility. Self-motivation, attention to detail, and a problem-solving ability are important personal qualities for these positions.

Deadline : 2023-09-15

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(22) PhD Degree – Fully Funded

PhD position summary/title: PhD student positions in solid state chemistry: synthesis of materials for heterogeneous catalysis

Renewable energy has brought significant progress to our sustainability efforts, but efficiently converting excess electricity into chemical fuels remains an ongoing challenge for heterogeneous catalysis. Currently applied materials often consist of binary oxides with simple structures and stable electron configurations. In the newly founded Multiscale Inorganic Energy Materials group within Chalmers’s Energy and Materials division, we aim to create catalytic materials with novel structural motifs on different length scales. For this mission, we seek motivated and skilled PhD students to contribute to groundbreaking research at the interface between solid state chemistry, materials science, and heterogeneous catalysis. You will focus on the creation of new main group and transition metal oxide catalysts as well as the modification of their structure on several dimensions. To this end, you will explore various synthetic pathways towards new layered bulk and nano materials, determine their structure, e.g. by X-ray diffraction, and study their physical and catalytic properties. Catalytic properties will be studied in close collaboration with researchers from the Applied Chemistry division. The objective is to develop novel structural motifs that can enhance the conversion of renewable energy into valuable base chemicals, such as hydrogen from water electrolysis or the reduction of CO2 to methanol.

Deadline :  2023-08-15

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(23) PhD Degree – Fully Funded

PhD position summary/title: PhD student position in Optimal usage of batteries by adaptive modelling and machine learning

The performance and lifetime of battery cells are to a large extent determined by how they are used, which is managed by a battery management system (BMS). At present, they act through more or less fixed constraints on measurable cell-external variables, i.e., current, voltage and temperature, to avoid accelerated aging and risk of thermal runaway. However, the decisive causes of the limitations are internal conditions that cannot be measured. Due to limited computing capacity and poor coupling between the simplistic battery models used and the cell-internal states, this normally results in an underutilization of the cells at the same time as they age prematurely. Previous theoretical studies have shown that a transition to the use of cell-internal constraints provides significant improvements (tens of percent in performance and longevity). The next generation BMS, with greatly improved computational capabilities, opens for use of both machine learning and more computationally demanding physically based models, with observers connecting the measurements to the critical internal conditions. In this project, you will derive such models, optimal control that uses them, and verify your results in experiments.

Deadline :  10 August, 2023

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(24) PhD Degree – Fully Funded

PhD position summary/title: PhD student position in Design: ITS solutions for increased bicycling

The position is tied to the EU Interreg North Sea project MegaBITS (Mobilzing Europe’s Green Ambition through Bicycles and Intelligent Transport Systems). In the project the cities of Copenhagen, Hamburg, Antwerp, and LeHavre, together with the province of OverIjssel will introduce new ITS solutions for increased, and safer, cycling.

Deadline :  August 7, 2023

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(25) PhD Degree – Fully Funded

PhD position summary/title:  PhD position: Quantum entanglement of levitated superconducting particles

We are seeking a highly motivated candidate for this PhD position. Your major responsibility is to pursue the goals of your research project and to pursue your own doctoral studies. You will receive adequate training such that you will reach these goals successfully. The position may also include some level of teaching as well as taking part in the supervision of bachelor or master thesis students. You will be embedded in a collaborative, stimulating and supportive environment, where team work is fostered and key for project success.

Deadline : 2023-08-13

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(26) PhD Degree – Fully Funded

PhD position summary/title:  PhD-student in Innovation Leadership

The main responsibility of a PhD student is to pursue doctoral studies in relation to a specific research topic. This includes two main components: doctoral courses and independent research (under supervision). The latter includes literature studies, research design and planning, empirical studies and communication of results in writing and orally at seminars and conferences. For this position, interaction and communication with the various actors in the Swedish construction industry will be an important part of the work. The exact focus and content of the studies will be decided in interaction with the examiner/main supervisor. The PhD student is expected to contribute to writing a number of scientific articles, based on the results of the research, which will be included in the final PhD-thesis.

Deadline : 2023-08-14

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(27) PhD Degree – Fully Funded

PhD position summary/title:  PhD student position in Human-Robot Interaction

Human-Robot Interaction (HRI) is a growing and exciting field at the intersection of Computer Science, Engineering, Psychology, Social Sciences, Linguistics, Design, and other disciplines. It deals both with foundational questions that help us understand how people work (e.g. are people’s mental models of robots similar in any way to people’s mental models of other people) and with practical applications (e.g. developing and testing robotic applications that have to interact with humans). One core challenge in HRI is making sure that robots and humans communicate with each other efficiently. This communication includes both natural language, and nonverbal signals, such as sounds, gestures, gaze, etc.

Deadline : 2023-08-18

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(28) PhD Degree – Fully Funded

PhD position summary/title: PhD student or post-doc in modeling robust energy systems

The division of Physical Resource Theory is one of five divisions within the department of Space, Earth and Environment. The Division of Physical Resource Theory offers an interdisciplinary research environment that relies on a range of different scientific methods, from energy system modelling and agent-based modelling, to remote sensing, econometrics and surveys. Our aim is to advance challenge-driven scientific excellence by crossing traditional disciplinary boundaries and increasing the level of cross-collaboration in environmental research and with society at large. The division has around 50 staff members, faculty, and PhD-students with diverse expertise, including engineers and natural and social scientists. We also offer courses in areas related to our research. The project focuses on three aspects of uncertainty affecting the future electricity system: extreme weather events, technical failures of transmission lines or large generators, and geopolitical events. The project aims to find a way to design the system to mitigate these uncertainties. The post-doc will be responsible for developing a stochastic optimization model and include probability functions for weather, technical failures, and geo-political risks. The research group consists of experienced energy system modelers and optimization experts with a strong international network in energy system modeling, operational research, and energy security.

Deadline : 2023-07-31

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(29) PhD Degree – Fully Funded

PhD position summary/title:  PhD Leaching of molten nuclear fuel

As a PhD student you are supposed to focus on the research questions relating to your project. In this case the fabrication and leaching of nuclear core melts. It is expected that a variety of different core melt compositions will be produced based on nuclear accident scenario. These different melt simulates will be subjected to detailed leaching stduies to elucidate the behaviour of both actinides as well as fission product leaching under different conditions. There will be considerable hands-on laboratory work involving radioactive nuclides which will be performed in dedicated laboratories with special requirements. In addition, as a PhD student you are supposed to take an active part in the teaching of both B.Sc. and M.Sc. students and be included in some departemental work.

Deadline :  2023-09-15

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(30) PhD Degree – Fully Funded

PhD position summary/title: PhD position in quantum thermodynamics (theory)

The position will be placed in the theory division of the department for Microtechnology and Nanoscience at Chalmers, where diverse research from quantum transport, quantum information, quantum materials to quantum thermodynamics is carried out. The hired postdoc will work in the group “Dynamics and Thermodynamics of nanoscale devices”, lead by Janine Splettstoesser. The specific research project of this position will deal with the thermodynamics of energy conversion of nanoscale devices.

Deadline :  2023-08-07

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(31) PhD Degree – Fully Funded

PhD position summary/title: PhD student position in development of green separation methods

In this project, the main objective is to improve the energy-efficiency of separation processes in industry. This will be done by developing innovative membranes and membrane-filtration processes to enhance the potential of membrane-separations to replace the currently energy-intensive separation processes like distillation. This position will enable combining fundamental membrane research with practical implementation via close collaboration with industry. This position is at the Chemical Engineering division of Chemistry and Chemical Engineering department at Chalmers. We have a wide range of experience and work both experimentally and with modeling. We have a long tradition of working with both fundamental scientific questions and applied problems together with industry. This position is within the unit for Chemical Process and Reaction Engineering.

Deadline : 1 September, 2023

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(32) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in Sustainable Entrepreneurship

The research addresses Sustainable Entrepreneurship, focusing upon one or more of the following themes: entrepreneurial careers, design and delivery of training in entrepreneurship to educators and practitioners (`train the trainer’) and entrepreneurial ecosystems.  Research is situated in the context of an entrepreneurial (and technical) university. The research position will have connection to a four year EU funded project addressing sustainable entrepreneurship and innovation connected to entrepreneurial education and training.

Deadline :2023-08-15

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(33) PhD Degree – Fully Funded

PhD position summary/title: PhD student position in Robotic Inspection Systems

The PhD project will be carried out in the Applied Artificial Intelligence (AAI) research group, and in collaboration with project partners in the European railway sector. A consequence of increased utilization of the railway systems is increased wear and increased risk of damage to the railway infrastructure. As a result, there’s a strong need of maintenance and repair of the railway infrastructure. Digitalization, AI, and robotics have been identified as potential solutions. For example, a novel contribution to more efficient railway maintenance and repair are digital twins. These intelligent simulations can be used to more precisely predict when a preventive maintenance measure should be carried out. Thus, the risk of sudden, unexpected breakdowns, which can be very costly and dangerous, is reduced. Traffic disruptions due to maintenance activities can also be minimized. However, they need to be continuously updated with fresh data. Together with the Swedish Transport Administration (Trafikverket), the Applied AI (AAI) research group at Chalmers-M2 is developing an autonomous railway robot research prototype for data collection, inspection, and repair of railway infrastructure. In the PhD project, building on our previous research, we aim to further develop the robotics inspection and repair system.

Deadline : August 31, 2023

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(34) PhD Degree – Fully Funded

PhD position summary/title: PhD Student Position in Quantum Chemistry

The questions asked in this project lie at the intersection between theoretical chemistry, physics, and quantum information science: How can we best simulate and analyze molecular systems with quantum hardware? How can we use chemical insight to better correct for the detrimental effects of noise in state-of-the-art quantum hardware? This project is part of the Wallenberg Centre for Quantum Technology (WACQT), a 12-year, billion-SEK initiative with the purpose of advancing Swedish academia and industry to the forefront of quantum technology, and to build a Swedish quantum computer. We currently have a 25 qubit quantum processor available for software experimentation. As a PhD student in this project, you will be closely interacting with postdocs and PhD students in WACQT to use this hardware for simulations of chemical systems.

Deadline : August 20, 2023

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(35) PhD Degree – Fully Funded

PhD position summary/title: PhD student in diagnostics of PEM based devices: fuel cells and electrolysers

PEM fuel cells and electrolysers are attracting vast attention due to the key role that they can play in the decarbonization of many important sectors, such as industry, transport and heating. It is also expected that PEM fuel cells (and electrolysers) will be integrated into microgrids together with other renewable energy source with the purpose to enable a better balanced and flexible electricity supply. In this context, challenges are related to finding the optimal operational conditions, to understanding the best hybridization concepts and to identify the factors that limit the devices’ performance. In this project, we propose to use and develop experimental methods such as vibrational spectroscopy (primarily Raman spectroscopy), optical microscopy (SEM and TEM) and electrochemical impedance spectroscopy to diagnostic the operation of PEM devices and the degradation mechanisms of their components.

Deadline : 31 July, 2023

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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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