Are you holding Master’s degree and looking for fully funded PhD positions? KTH Royal Institute of Technology, Sweden invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. Fully Funded PhD Position in System Security, Formal Verification and Machine Learning
Summary of PhD Program:
We invite highly motivated students with a strong background in system security, formal verification, and/or machine learning to apply for two PhD positions, funded by Wallenberg AI, Autonomous Systems and Software Program (WASP). Successful candidates will have the opportunity to investigate cutting-edge research topics, including but not limited to one of the following areas, System Security, Formal Verification, and Machine Learning in Security and Verification.
Application Deadline: 31.Aug.2024
2. Fully Funded PhD Position in Large Language Model inferencing
Summary of PhD Program:
The advertised doctoral student positions are within an ambitious, 5-year Wallenberg Scholar project titled “Scalable and adaptive inferencing for democratizing AI. In this 18 Million SEK project, we want to dramatically reduce the cost and power for serving large language models such as ChatGPT. Overall work will entail pruning and fine-tuning of large language models, as well as design, implementation, and evaluation of distributed systems and networks for machine learning inference.
Application Deadline: 05.Aug.2024
Follow FellowshipBard for daily updates!
3. Fully Funded PhD Position in robotics for fire risk assessment in rural environments
Summary of PhD Program:
One of our research groups works closely with the forest industry with a focus on robotics, sensor systems and artificial intelligence. In the spring of 2024, we will start a project funded by MSB with a focus on how autonomous and remote-controlled forest machines can improve the coarse-grained estimation of the risk of ignition of forest and grass fires that exist today. Those interested in applying should have an interdisciplinary background in robotics or mechatronics, and a keen interest in immersing themselves in a critical societal area.
Application Deadline: 30.Jun.2024
4. Fully Funded PhD Position in data-driven methods for organizing healthcare
Summary of PhD Program:
The adoption of data-driven methods in healthcare provides significant opportunities for the effective utilization of resources, improved planning and coordination of processes, improved diagnostics and personalized care processes. The Department of Biomedical Engineering and Health Systems is looking for a doctoral student to work on exciting projects. The goal of the PhD is to develop a systemic basis for healthcare improvement, through data-driven methods. The student will be responsible for data analysis and building ML, AI and NLP models and pipelines for these projects. The student will collaborate with other researchers, clinicians and practitioners in healthcare.
Application Deadline: 15.Jun.2024
Find Fully Funded PhD in UK
5. Fully Funded PhD Position in light-controllable fluorescent proteins in microscopy
Summary of PhD Program:
We are looking for a motivated student interested in biophysics and live-cell imaging to join the Advanced Optical Bio-Imaging Laboratory (http://www.testalab.org) in Stockholm as a PhD student. The student will be part of the Biophysics Unit of the KTH Royal Institute of Technology, located in SciLifeLab in Stockholm, a national hub for life-science excellence in Sweden with cutting-edge laboratories and a vibrant multidisciplinary environment.
Application Deadline: 12.Jun.2024
6. Fully Funded PhD Position in Programming Languages and Machine Learning
Summary of PhD Program:
The doctoral student position focuses on fundamental research combining programming languages theory, compilers, and machine learning. In particular, the emphasis is on algorithms, formal semantics, and compiler techniques for both natural languages and programming languages. This includes novel ways of combining large language models (LLMs), transformers, formal semantics, and compiler technology. The PhD student position is funded by WASP (see below) via the project High-Confidence Transformer-Based Compilation of Partially Ambiguous Programs.
Application Deadline: 12.Jun.2024
7. Fully Funded PhD Position in Biomechanics: Gait exoskeletons and rehab robotics
Summary of PhD Program:
The PhD student will join the research group at KTH MoveAbility, in biomechanics of human movement, with a focus on development and innovation of assistive devices. Our research focuses on technology to decode, measure and enhance human movements, particularly in people with motor disabilities. The KTH MoveAbility research group is part of the Department of Engineering Mechanics. The Promobilia MoveAbility Lab is a well-equipped experimental research infrastructure, centrally located on KTH’s campus and in close collaboration with an interdisciplinary network of clinical and technical researchers and healthcare professionals. The growing group is multicultural and multidisciplinary.
Application Deadline: 07.Jun.2024
Find Fully Funded PhD in USA
8. Fully Funded PhD Position in Biomechanics in movement disability
Summary of PhD Program:
The PhD students will join the biomechanics research group at KTH MoveAbility. Our research focuses on technology to decode, measure and enhance human movements, particularly in people with motor disabilities. The KTH MoveAbility research group is part of the Department of Engineering Mechanics. The Promobilia MoveAbility Lab is a well-equipped experimental research infrastructure, centrally located on KTH’s campus, and in close collaboration with an interdisciplinary network of clinical and technical researchers and healthcare professionals. The growing group is multicultural and multidisciplinary.
Application Deadline: 07.Jun.2024
9. Fully Funded PhD Position in Robotics and machine learning
Summary of PhD Program:
PhD student 1 will be a part of an EU project “Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors”. The goal of the project is to digitalize the sense of smell, pave the ground for understanding how the sense of smell works in humans and build AI models of these. We seek a candidate who have experience working with time series data (EEG), signal processing and machine learning.
PhD student 2 will work on representation learning where we aim at exploring the synergies between different modalities when learning representation models to allow for the efficient adaptation of pre-trained task pipelines to novel modules, be it of previously observed or novel modalities. We seek a candidate who have experience working with deep learning and multimodal data.
Application Deadline: 06.Jun.2024
Find Fully Funded PhD in Europe
10. Fully Funded PhD Position in Electricity market optimization
Summary of PhD Program:
European states (and Sweden) are working toward a sustainable intermittent renewable future. This green vision has brought about several important challenges. One of the major challenges is the increasing complexity in the Day-Ahead Electricity Market (DAM) model. First, the Market Time Unit (MTU) is planned to be reduced from 1 hour to 15 minutes. This roughly means an optimization model four times larger than what we have now. Second, the type and number of nonconvex orders are expected to increase by growing share of intermittent renewable generation. This in turn creates increasing complexity in calculating uniform prices. Third, Joint optimization of energy and balancing reserves in the day-ahead market which requires innovate algorithms to solve the DAM model.
Application Deadline: 03.Jun.2024
11. 03 Fully Funded PhD Position in characterization and modelling of engineering materials
Summary of PhD Program:
Macro/micro- stress evolution in complex microstructures of steels under cyclic loadings in electric vehicles. This project will implement in- situ measurements to investigate the mechanical response of surface hardened steels with different types of complex microstructures. The main interest is to understand the evolution of stress and damage, which leads to fatigue failure. This understanding can aid the development of improved materials and processes for optimal fatigue resistance.
Application Deadline: 31.May.2024
Explore PhD Salary, Jobs, & Career Growth
12. Fully Funded PhD Position in development of novel catalysts for hydrogen fuelled alkaline membrane fuel cells
Summary of PhD Program:
The polymer electrolyte fuel cell, converting hydrogen to electricity, is a key technology for the green transition for transport as well as stationary applications. The anion exchange membrane fuel cell (AEMFC) is a potential low-cost alternative to the dominating commercialized proton exchange membrane fuel cell (PEMFC) that is relying on high loading platinum catalysts and fluorine-containing membranes. The AEMFC technology is still under development and more research is needed on components, cell design and optimized operation conditions. The purpose of this project is to develop new PGM-free or ultra-low PGM electrodes for the hydrogen oxidation reaction (HOR) in anion exchange membrane fuel cells, through catalysts synthesis and characterisation at Aalto Univeristy and implementation and electrochemical evaluation in an AEMFC at KTH.
Application Deadline: 31.May.2024
13. Fully Funded PhD Position in Applied Math within Optimization and Systems Theory
Summary of PhD Program:
We focus on developing optimization algorithms, methods, and fundamental theory, for analyzing specific input-output properties of deep neural networks (DNNs) and training DNNs with guaranteed properties. The ability to rigorously analyze and train DNNs with guaranteed properties is essential for us to trust AI-based systems, and this is an active research area. The goal is to develop deterministic optimization methods and we will build upon, and further develop, theory and concepts from mixed-integer and global optimization. A central question in the project is ”how to construct strong polyhedral representations and relaxations of DNNs”. A strong interest in mathematical programming (e.g., mixed-integer optimization) is a great advantage.
Application Deadline: 31.May.2024
14. Fully Funded PhD Position in Computational Fluid Dynamics and Heat Transfer
Summary of PhD Program:
The two PhD students recruited at KTH will be part of the newly established VINNOVA Competence Center AdTherM (Advanced Computing for Sustainable Thermal Management in Industry) targeting analyses of thermal processes in industrial applications. Additional PhD students will be recruited by Lund University and Luleå University of Technology, partners in AdTherM. The jointly identified key challenges will be studied by combining experiments, primarily carried out by the industrial partners in AdTherM, with model development and CFD simulation studies, primarily in academia. One of the two projects at KTH will make usage of Large Eddy Simulations (LES) to understand the behavior of flow separation and developed secondary flows on aerodynamic performance and heat transfer for flat and curved surfaces.
Application Deadline: 31.May.2024
Explore Our Career Blog
15. Fully Funded PhD Position in Human Computer-Interaction
Summary of PhD Program:
The primary objective of the projects within this research environment is to investigate the impact of digitalization within educational settings, specifically examining its effects on learning and inclusion in group work for two specific demographics: pupils with concentration difficulties (for example due to ADHD) and pupils with visual impairment. The overarching aim is to scrutinize the prevailing conditions for these pupils concerning the influence of digitalization in schools. Additionally, the research seeks to explore whether the integration of multisensory interfaces alongside an inclusive pedagogical approach can enhance the capacity for these pupils to concentrate and to attain the educational objectives outlined in the school curriculum.
Application Deadline: 31.May.2024
16. Fully Funded PhD Position in Solid Mechanics
Summary of PhD Program:
In this project, you will investigate the effects of drying and moistening on fibres and fibre joints during manufacturing and end-use. A particular focus will be on understanding how anisotropic constraints during drying influence the development of the network’s mechanical properties and residual stresses. This project provides an exciting opportunity to gain insights into the complex behaviour of fibre networks and contribute to advancing our understanding of these widespread materials, which are integral to the transition towards sustainable development.
Application Deadline: 31.May.2024
17. Fully Funded PhD Position in wear and emissions from studded tyres
Summary of PhD Program:
The use of studded tyres during wintertime can cause significant wear of road surfaces. Some fraction of this wear is released in the form of airborne particulates, affecting the air quality in urban areas. The studs of today’s winter tyres are manufactured from hard metal containing Cobalt. Cobalt is a material that should be phased out from an environmental perspective both at the use phase as well as the manufacturing phase. The project aims to study alternative Cobalt free hard metal studs that in the future also can reduce the particulate emissions. You will work together with industry and government agencies. This project is financed by the Swedish Transport agency.
Application Deadline: 31.May.2024
18. Fully Funded PhD Position in digital transformation in the built environment
Summary of PhD Program:
The project investigates organisational and business aspects of digital transformation for a more sustainable built environment. An important aspect is how property owners, both as construction clients and facility managers, drive and participate in innovation related to digitalisation in collaboration with other actors. The project is carried out within the framework of the competence centre Dig-IT lab in collaboration with both academic and industrial partners.
Application Deadline: 30.May.2024
10 Best AI Cover Letter Builders
19. Fully Funded PhD Position in nuclear materials science
Summary of PhD Program:
We are looking for a PhD student to work within the research platform NuMaP (Nuclear Materials Platform) (numap.se) with modeling and experiments of damage mechanisms in advanced structural nuclear materials. NuMaP connects KTH, Luleå University of Technology, Uppsala University, Linköping University and Chalmers with the nuclear industry in Sweden and is financed by the Swedish Energy Agency. The PhD student will be part of a multidisciplinary team of researchers and students.
Application Deadline: 30.May.2024
20. Fully Funded PhD Position in learning and optimization for edge computing
Summary of PhD Program:
The Division of Network and Systems Engineering is looking for up to two doctoral students with a very strong background and interest in system modeling, optimization, and machine learning. The successful candidate will join a MSCA Doctoral Network project on developing rigorous, novel tools for safe and prompt learning and optimization of distributed network infrastructures. A strong focus will lie on the development of algorithms that include machine learning components, and on cooperation with industrial partners and with the TECoSA competence center at KTH.
Application Deadline: 30.May.2024
21. Fully Funded PhD Position in Machine Learning for Dynamical Systems
Summary of PhD Program:
The project is in collaboration with a Swedish company for state-of-the-art statistical signal processing and machine learning based design and analysis of dynamical process and time-series. We will strive to develop data-driven state estimation and tracking methods beyond Kalman and Particle Filters. We will also develop classification and clustering of complex dynamical processes. The associated machine learning methods preferably will be unsupervised and semi-supervised.
Application Deadline: 30.May.2024
22. Fully Funded PhD Position in organising for energy efficient hospitals
Summary of PhD Program:
Energy usage is central in ensuring important properties of hospitals and in meeting the climate goals. A major challenge lies in organising collaboration and integration between different actors in healthcare construction. The project is carried out in collaboration with NCC Sweden AB as well as Uppsala University and Chalmers, and investigates organisational hinders and drivers for implementing innovative energy solutions in hospital construction. The project includes a reference group in healthcare construction as well as energy and medical technology. The collaboration with NCC is of high importance, as well as continuous reference group meetings and maintaining contacts within selected construction projects.
Application Deadline: 30.May.2024
23. Fully Funded PhD Position in Multi-Modal Modeling of Spatial Biology Data
Summary of PhD Program:
The subject concerns spatial biology, which encompasses a wide range of technologies that quantify different types of biomolecules in situ. Available technologies provide information about distinct aspects of tissue anatomy, such as its morphology, genome, transcriptome, proteome, and metabolome. Comprehensively characterizing a tissue requires combining multiple technologies, which can be costly or challenging experimentally. The student will develop methods for multi-modal modeling of spatial biology data that integrate diverse data types and can be used for cross-modality data transfer.
Application Deadline: 30.May.2024
24. Fully Funded PhD Position in Hybrid Energy Storage
Summary of PhD Program:
To combat climate change, the power grid is evolving and many countries around the world are increasing their utilization of energy storage systems. Energy storage systems can, at various levels of the power grid, provide different services directly to the user but also to the grid itself. However, not all types of storage systems are equally suitable in all situations, e.g., an inherently large power capability is not naturally coupled with a high energy capacity and vice versa. The approach of combining different types of storage systems is called hybrid energy storage system (HESS). This allows for more flexibility and opportunities but can, e.g., increase losses if not properly handled.
