36 Fully Funded PhD Programs at KTH Royal Institute of Technology, Sweden

Are you holding Master’s degree and looking for PhD positions? KTH Royal Institute of Technology, Sweden inviting online application for funded PhD Programs / fully funded PhD positions. 

Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.

1. PhD Position in Organic Redox Flow Batteries

Summary of PhD Program:

The increased implementation of renewable energy sources such as solar and wind in the energy system results in an electricity production less adapted to the consumption. A solution is to store energy for shorter or longer periods in batteries. In Redox Flow Batteries (RFB), the energy is stored in tanks with redox-active solutions and not in solid materials as in conventional batteries. The design makes them particularly suitable for medium and large-scale stationary energy storage. Today’s commercial RFBs are based on metal ions typically from vanadium, which is scarce, expensive and toxic. A hot research area is to find more environmentally friendly and less costly organic redox-active substances as alternatives.

Last Application Date: 01.Nov.2022

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2. PhD Position in Biocatalysis: Scale-up for sustainable enzyme chemistry

Summary of PhD Program:

The utilization and adaptation of Nature’s tools for sustainable manufacturing of chemical products is a fast-developing research field and methods for enzyme design have recently been awarded a Nobel prize in chemistry. The design of enzymes requires both a fundamental molecular-level understanding and engineering skills. We are studying a type of industrial enzymes called transaminases and we are now looking for a doctoral student for a new project to explore the stability of these enzymes with protein engineering tools. The stability studies will be integrated with scale-up experiments in the unique infrastructure at Danish Technical University (DTU). We are looking for a candidate with a large interest and experience of applied enzymology, molecular biology and organic chemistry.

Last Application Date: 31.Oct.2022

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3. PhD Position in controlling building energy systems

Summary of PhD Program:

In the transition toward low-energy buildings and the 5th generation of district heating, using data-driven approaches to integrate decentralized renewables with optimal control will play a vital role. You will join an exciting research team and interdisciplinary EU project to develop and apply machine learning (ML) techniques, novel system control and optimization methods to integrate/operate various decentralized renewable systems in the 4th-5th generation of district heating and building HVAC systems. You will perform dynamic simulations of energy operation (both thermal and power), as well as testing the developed ML methods/control solutions in multiple live-in-labs across Europe.

Last Application Date: 30.Sep.2022

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4. PhD Position in Bridge Engineering – new concepts for high speed tracks

Summary of PhD Program:

Construction of new and restauration of existing railway lines for higher train speeds demands bridges built with minimized environmental impact. This motivates studies of new design and construction solutions contributing to reduced resource consumption and reduced emissions. The development of fossil free steel has reached far and steel bridges can be made lighter than conventional concrete bridges, which gives positive effects such as reduced transport volumes, easier construction, and less complex foundation arrangements. Further environmental benefits can be attained if weathering steel is used, which do not have to be surface treated and painted over the intended service life.

Last Application Date: 05.Oct.2022

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5. PhD Position in algorithms and architectures for high-performance machine-learning

Summary of PhD Program:

This research project will develop faster, more resource-effective and more scalable methods for machine learning and decision-making. The research includes algorithm development, mathematical analysis, implementation and performance evaluation. Working together with experts in computer architecture, we will investigate how machine learning algorithms and computer systems can be improved and radically re-designed for unprecedented efficiency and scalability.

Last Application Date: 06.Oct.2022

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6. PhD Position in deep generative models for cancer research

Summary of PhD Program:

Variational autoencoders (VAEs), a part of the Variational inference (VI) methodology, has recently become important in analysis of large single-cell and spatial bio data. Yet, employing them for posterior approximations in Bayesian phylogenetics is a difficult problem. Clear examples of successful applications are still outstanding. Following recent trends in VAE research, one may hypothesize that it may be addressed by incorporating inductive biases, modeling more advanced prior distributions, and/or via architecture design. This project aims to explore the possibility of employing VAEs or other deep generative models in the setting of somatic cancer evolution and Bayesian phylogenetics. By doing so, the Ph.D. will simultaneously contribute to two highly impactful scientific fields: computational bio/cancer and Bayesian inference in deep learning.

Last Application Date: 14.Oct.2022

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7. PhD Position in artificial intelligence for wireless communications

Summary of PhD Program:

We are seeking one PhD student with a strong background and interest in Mathematics, Optimization, Machine Learning, and Wireless Networks. The following research directions will be investigated: Artificial Intelligence for wireless networking. The PhD project is sponsored by the research project SSF AICOM – Artificial Intelligence for Wireless Communications, a recent major research project that involves leading Swedish universities and scholars. The PhD project will consider Internet of things, smart cars or smart homes, augmented and virtual reality and the metaverse as application domains.

Last Application Date: 06.Oct.2022

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8. PhD Position in Information theory for stochastic decision problems

Summary of PhD Program:

In this project we will expand those results with the goal to enhance the basic understanding as well as setting the basis for a framework for optimal designs. This new approach will lead to new fundamental insights and it might lead to solutions of long-standing fundamental problems. Moreover, it should be explored how these results can be exploited to understand better and improve machine learning algorithms. The Information Science and Engineering Division at KTH Electrical Engineering has 12 faculty members and presently about 35 PhD students, who contribute to a high professional standard of intensive work and quality results, as well as to a friendly and open environment.

Last Application Date: 14.Oct.2022d

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9. PhD Position in High Temperature Thermal Energy Storage

Summary of PhD Program:

High-temperature thermal energy storage enables widespread exploitation of renewable energy sources, providing flexibility for tomorrow’s energy system. This PhD project will investigate the performance of advanced thermal energy storage configurations that exploit the use of inexpensive recycled materials and non-toxic and cost-effective heat transfer fluids such as metal slags and air. The work is carried as part of a recently awarded project within Horizon Europe and is to be performed in collaboration with academic and industrial partners.

Last Application Date: 30.Sep.2022

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10. PhD Position in computational thermodynamics

Summary of PhD Program:

At the Unit of Structures, Dept. for Materials Science and Engineering, KTH, research is underway that leads to new models and descriptions for the next generation of thermodynamic databases. Thermodynamic databases are used in conjunction with software to predict the state of a material and are used worldwide by both industry and academia. In the proposed project, the newly developed descriptions will be used and extended to model industrially important material phenomena. The so-called CALPHAD methodology will be combined with DFT (Density Functional Theory) and machine learning. You who are applying have a master’s degree, or will get your exam soon, in materials science, materials physics or a related field. You are interested in mathematics and modelling and like problem-solving. You can work independently and in a team.

Last Application Date: 06.Oct.2022

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11. PhD Position in 6G Industrial Wireless Networks

Summary of PhD Program:

Our research group has a decade-long track record in leading academic research with real-world impact in the area of industrial wireless networking. We are looking for an outstanding individual interested in integrating with a strong KTH-internal team as well as with external stakeholders in order to shape future 6G networks. We typically combine fundamental research work (leveraging methods from communication and queuing theory) with experimental testbed development and trials. Candidates with a strong track record in either of these domains (with respect to wireless networking) are encouraged to submit applications. Solid command of machine learning theory and/or practical skills is a plus.

Last Application Date: 06.Oct.2022

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12. PhD Position in sustainable and circular urban agriculture

Summary of PhD Program:

The aim of this project is to explore, develop, and analyze more circular-based production methods for urban-vertical farms. More specifically, the project has the objectives to 1) identify the potential for improving resource efficiency and new product development through more circular use of materials and energy for urban food systems, 2) understand and analyze the implications of circular based production models to improve the sustainability of processing and products, and 3) improve and facilitate knowledge and the development of new synergies for more circular urban food production systems.

Last Application Date: 29.Sep.2022

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13. PhD Position in Applied Math. within Optimization and Systems Theory

Summary of PhD Program:

In this project we will focus on two types of problems based on the control objectives and available information: microscopic and macroscopic control. In the former the control objective is to achieve some formation in self-organized way, and modeling and shaping interaction among the agents is possible. In the latter the control objective is given in some statistical sense and modeling and shaping interaction among the agents is not feasible. To study these problems, it is very useful to borrow ideas from non-cooperative game theory in which emergence of the MAS can be tightly connected to Nash equilibria, and to use ideas of controlling moments of a distribution for large scale systems.

Last Application Date: 10.Oct.2022

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14. PhD Position in chemistry

Summary of PhD Program:

The position will be connected to the EU financed project RADOV, which has the overall goal to extract bioactive peptides from egg proteins, and to incorporate these in advanced functional products. The specific part of the research project associated with this position regards irradiation of the proteins in order to obtain peptide fragments for further biological investigation and treatment. An important part of this work consists of analysis and characterization of the formed peptides using separation techniques like chromatography and capillary electrophoresis, and mass spectrometric techniques like ESI-MS and MALDI-MS.

Last Application Date: 30.Sep.2022

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15. PhD Position in Synthetic biology to enhance carbon conversion in cyanobacteria

Summary of PhD Program:

This Ph.D. position is in the Division of Systems Biology, part of the Department of Proteomics. The group of Paul Hudson does research on bacteria that fix carbon dioxide, such as cyanobacteria. Cyanobacteria in particular are also models for carbon fixation in plant chloroplasts. This project will develop and apply new synthetic biology methods with the aim to enhance the rate of carbon fixation and conversion in cyanobacteria. Such methods include, for example, CRISPR/Cas gene editing, dynamic enzyme regulation, as well as screening of genetic libraries. The project will also use systems biology techniques, such as genomics and proteomics, to achieve these goals.

Last Application Date: 30.Sep.2022

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16. PhD Position in applied mathematics for electromagnetic design

Summary of PhD Program:

Electromagnetic design is in the process of a paradigm shift. This project is a part in this effort with the goal of changing how we think and do electromagnetic design. In the project we will use and develop mathematical tools to solve difficult and challenging design problems, mainly with the focus on array antennas, filters and sensors. The PhD-studies will contain a combination of complex analysis, optimization in for example sparsity, scientific computations, quasi-christal patterns and active systems. The aim of the project is both to obtain fundamental limitations of the investigated system as well as realization that are close to the obtained limitations.

Last Application Date: 17.Oct.2022

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17. PhD Position in dynamic train-track-bridge interaction

Summary of PhD Program:

This PhD-project will focus on the dynamic interaction of the coupled train-track-bridge system with application to freight traffic. The work will involve theoretical studies and simulations as well as processing larger quantities of collected data. The aim of the project is to increase the understanding of dynamic effects on bridges caused by freight traffic, especially related to track irregularities. The candidate will be employed at the division of Structural Engineering and Bridges. The project is a cooperation with the Swedish Transport Administration.

Last Application Date: 10.Oct.2022

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18. PhD Position in Bio-based composite materials for sustainable roads

Summary of PhD Program:

We are looking for a doctoral student for a licentiate in highway engineering. In the project, we want to investigate the applicability of lignin in asphalt. Our target is to study lignin-modified asphalt mixtures through a synergetic combination of 3D imaging techniques, based upon X-ray and neutron radiation sources, multi-scale chemo-mechanical testing, and computational modelling. The work is carried out in close collaboration with several partners in Europe and requires very good ability to work independently. Tests campaigns in several facilities will be carried out (Lund University in Sweden, ILL in France, PSI in Switzerland).

Last Application Date: 30.Sep.2022

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19. PhD Position in machine learning and 3D mammography

Summary of PhD Program:

Tomosynthesis is a promising 3D modality for diagnosing breast cancer. Deep learning is the most successful form of artificial intelligence (AI). The aim of this project is to utilize a unique database of tomosynthesis and mammography images and new methods in deep learning to create novel diagnostic tools for breast cancer. The position offers good opportunities to gain deeper knowledge of recent techniques in deep learning such as generative adversarial networks (GAN), spherical convolutional neural networks or normal appearance autoencoders, a method developed in our group, in addition to explainable-AI and uncertainty quantification methods. The selected candidate will be part of the EU-funded European Training Network consortium BosomShield. That includes access to educational and career development activities from the network and several secondment visits to the partners.

Last Application Date: 29.Sep.2022

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20. PhD Position in process metallurgy

Summary of PhD Program:

The focus of the project is to develop a sampling technique for improving the use of alloys and materials during steelmaking. The developed technique will be deployed in steelplants combining it with modern IoT communication tools. In the pilot-scale research, computational simulations will be performed with specialized CFD software packages to design the sampler with specific requirements for steel sampling. Along with the modeling work, laboratory investigatons will be carried out to understand the interaction between steel, slag, and refractory and to develop the required tools. In the later stages of the study, comprehensive plant trials at industrial sites will be conducted for further verification.

Last Application Date: 04.Oct.2022

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21. PhD Position in Electricity Hedge Markets in Nordic Region

Summary of PhD Program:

Around the world, electricity spot prices tend to be highly volatile, varying both across time and across locations on the network. For this reason, as with many other commodities, financial markets have emerged for mitigating the risk and providing signals to investors. The market participants who trade in electricity across different pricing areas are exposed to locational basis risk – the difference in the price between the point at which the electricity is injected into the network and the point at which it is withdrawn. However, these inter-locational hedging instruments have not been subject to the same degree of development or attention as the inter-temporal hedging instruments. The Electricity Price Area Differentials or EPAD contract is one such inter-locational hedging instrument which allows members on the power exchange to hedge against the area-price risk.

Last Application Date: 06.Oct.2022

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22. PhD Position in Intensified production process of AAV for gene therapy

Summary of PhD Program:

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Last Application Date: 31.Oct.2022

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23. PhD Position in Nuclear Power Safety

Summary of PhD Program:

The Division of Nuclear Power Safety conducts research on accident phenomena of risk importance to existing and future nuclear reactors, and performs safety analysis for nuclear power plants, including design basis accident analysis and severe accident analysis. The research projects involve extensive international cooperation. We are looking for a doctoral student to carry out frontier research on modeling of accident phenomena in nuclear reactors; and safety analysis of nuclear power plants. The successful candidate is expected to (i) develop models and approaches for simulation of accident phenomena in nuclear reactors; and (ii) perform safety analysis of nuclear power plants using the developed models and approaches.

Last Application Date: 05.Oct.2022

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24. PhD Position in Joint Radio and Communications

Summary of PhD Program:

The PhD research project aims to design and optimize JRC (joint radio and communication) waveforms/sequences and network resources for improved sensing and communication capabilities in beyond 5G (6G) mobile networks. Traditionally, the functionalities of sensing and communications are separate technologies, which lead to low efficiency, long latency, and substantial waste of resources. JRC can simultaneously sense around environments and transmit information messages, especially in high-frequency bands. Thus, the main objectives of the project are to design and optimize JRC with long range and high resolution for radar detection, accurate channel estimation capability, high spectrum and power efficiency, and supporting for multi-user operation and with limited complexity. The project will be a collaboration between KTH and NTU (Nanyang Technology of University, Singapore). The doctoral student will have the chance to collaborate with both KTH and NTU teams.

Last Application Date: 21.Oct.2022

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25. PhD Position in Wireless Communications

Summary of PhD Program:

While 5G networks have been deployed, 6G mobile techniques have been investigated and developed recently. To achieve ambitious objectives, (ultra) massive MIMO is considered to be one of key candidate technologies, which can provide high rates and large coverage. This project will investigate the emerging technologies, jointly with massive MIMO such as lens antenna and large intelligent surface. The student will have opportunities to strengthen cutting-edge knowledge in communication, information theory and optimization. The project will be hosted by the Division of Information Science and Engineering.

Last Application Date: Open Until Filled

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26. PhD Position in Networked Systems Security

Summary of PhD Program:

We invite applications for doctoral student positions with the Networked Systems Security (NSS) lab at EECS/SCS. We are looking for highly motivated individuals to pursue a PhD in security and privacy. The positions involve activities leading to original research and results in peer-reviewed publications. The research topics can relate with any of the NSS group areas (https://www.eecs.kth.se/nss). The NSS group designs and builds trustworthy networked systems, with a research agenda covering a gamut of security and privacy problems and results that got significant attention by the research community. NSS introduced a new security curriculum at KTH. Candidates with experimental/systems or theoretical profiles and research interests in any aspect of security and privacy are welcome to apply.

Last Application Date: 01.Dec.2022

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27. PhD Position in spectral urban-flow simulations and deep learning

Summary of PhD Program:

The goal of this project is to use computational-fluid-dynamics (CFD) methods and experiments for the analysis of turbulent flows in urban environments. To this end, high-order spectral methods will be employed to perform both well-resolved large-eddy simulations and direct numerical simulations, in order to assess the influence of the geometry and inflow conditions on the physics, and the pollutant concentration in the city. We are also interested in using deep-learning methods for non-intrusive sensing, so as to create detailed maps of velocity and pollutant concentration in the city from sparse measurements.

Last Application Date: 17.Oct.2022

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28. PhD Position in Micro and Nanosystems

Summary of PhD Program:

The Division of Micro and Nanosystems at the KTH School of Electrical Engineering invites applications for two Ph.D. student positions. We are seeking applicants who have a desire to conduct cutting-edge research within the areas of photonic MEMS and/or nanoscale and NEMS relays for logic/electronic applications. In our collaborative project with international partners from the EU, your task will be to develop next-generation MEMS/NEMS devices with dramatically improved, or entirely novel functionalities. As a Ph.D. student in MEMS and NEMS you will be part of an interdisciplinary research team that consists of members with different professional and cultural backgrounds. All projects involve both theoretical and experimental tasks as well as cooperation with other scientific disciplines. Experimental work will be conducted in the KTH micro and nano fabrication cleanroom in Stockholm-Kista and the KTH laser lab. The projects engage several fellow Ph.D. students at MST and are supervised by at least two senior researchers. The projects are conducted in close cooperation with high-profile industrial partners and European universities.

Last Application Date: 30.Sep.2022

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29. PhD Position in Chemical Engineering

Summary of PhD Program:

The latest IPCC report highlights the need for CO2 capture and storage (CCS) to meet the Paris Agreement target. Sweden, for example, has committed to achieving truly zero emissions of greenhouse gases by 2045 and achieving negative emissions in the following years. Therefore, there is a need for CO2 capture units which should be deployed on a large scale. In fact, CO2 capture units are based on an established technology for handling syngas in a closed circuit at high pressure. The application to flue gas is quite different. In fact, the latest CCS uses MEA solvents and costs >1 TWh/MT of CO2 captured, leads to pollution risks and breaks down fast/high chemical usage. Recent life cycle analyzes have shown that the total cost of MEA-CCS comes close to canceling out the benefits.

Last Application Date: 14.Oct.2022

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30. PhD Position in high-speed datacenter networking

Summary of PhD Program:

Today’s cloud and edge datacenters struggle to keep the pace of multi-100Gbps network interface card. A CPU transmitting 40Gbps of traffic consumes as much as 70% of its cycles, which cannot be used to run any applications. The recent rise of programmable high-speed hardware devices including P4 switches and SmartNICs have opened the doors to massive potential performance gains by offloading networking stacks from CPUs to hardware. Yet, reaping the benefits of such devices is today a largely unsolved problems. For example, multi-terabit per second network devices drop packets depending on specific time patterns. In this project, we plan to build radically new frameworks for controlling network and their performance in a programmatic manner.

Last Application Date: 29.Sep.2022

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31. PhD Position in aging of Automotive Batteries

Summary of PhD Program:

An appropriate background is a Master’s degree based on electrochemistry, chemical engineering, engineering physics and mathematical modelling. Excellent knowledge of written and spoken English and documented skills in summarizing research results in written and oral presentation is required.

Last Application Date: 30.Sep.2022

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32. PhD Position in Planning and Control for situation-aware multi-agent systems

Summary of PhD Program:

The school of EECS announces a PhD position within the Horizon-Europe Innovation Council (EIC) project “Symbolic Logic Framework for Situational Awareness in Mixed Autonomy (SymAware)”. The ultimate goal of this project is to develop a framework that enables robots to actively perceive risks in dynamically changing environments and collaborate with other robots and humans to improve their awareness while aiming at fulfilling complex and dynamically changing tasks. The position will involve the topics of multi-agent planning and control, formal methods, and situational awareness with an emphasis on human-in-the-loop.

Last Application Date: 30.Sep.2022

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33. PhD Position in modeling and effect analysis of ship’s dynamics

Summary of PhD Program:

The research studies are part of KTH Naval Architecture’s ship dynamics program for modeling of ship motions and analysis of its impact on crew, equipment and cargo, as well as on the ship system’s operability in the variety of sea states. We envision a starting point in ongoing model and method development for time domain simulation e.g. in direct stability assessment, following the new intact stability code IMO/SGISC. Another part of the seakeeping analysis, anticipated for the research studies, address the motions’ influence on work and mission performance at sea. This includes both modelling of the ship motions as such and how crew responds to them. In addition to numerical modeling, the project is expected to include experimental field studies in collaboration with ship crews and experts in fields such as occupational science.

Last Application Date: 03.Oct.2022

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34. PhD Position in Printed Electronics

Summary of PhD Program:

The doctoral study will be conducted at Division of Electronics and Embedded Systems at KTH. This research focuses on developing printing processes to fabricate sustainable electronic devices. Functional inks will be formulated with emerging materials, such as conductive 2D materials (especially graphene and MXenes), quantum dots, conducting or semiconducting polymers, and polyelectrolytes. Inkjet printing and direct ink writing processes will be developed to directly print the functional inks onto various substrates to fabricate microscale devices for electronics, energy storage, and/or energy harvesting applications.

Last Application Date: 06.Oct.2022

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35. PhD Position in Remote Sensing and AI for wildfire monitoring

Summary of PhD Program:

The candidate is expected to participate in a research project entitled “Earth Observation Big Data and Deep Learning for Wildfire Monitoring’. The overall objective of this research is to develop innovative and robust methods and algorithms using Earth observation (EO) big data and deep learning for wildfire detection, progression monitoring and damage assessment. The tasks and responsibilities include algorithm development, satellite image analysis, classification and change detection, writing scientific articles, licentiate and PhD thesis.

Last Application Date: 29.Sep.2022

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36. PhD Position in Biomedical fluid mechanics

Summary of PhD Program:

We have now the opportunity to expand our research group with one more PhD student having a background in engineering physics, applied mathematics or mechanical engineering. We seek a PhD student that is highly motivated by cross disciplinary (medical technology) work where the focus will be directed towards understanding blood clot formation in artificial components and in our circulatory system important to improve patient treatment, particularly focusing on intensive care and renal medicine. Both numerical and experimental work will be carried out.

Last Application Date: 29.Sep.2022

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This Post Has One Comment

  1. Liana

    thanks for info

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