KTH Royal Institute of Technology, Stockholm, 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 KTH Royal Institute of Technology, Stockholm, Sweden.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD Student in Generative Modelling of Conversational Dynamics
This project aims to create generative models of spoken conversation that enable speaking machines to adapt their conversation style over time, in the same natural manner that we humans do. To make this a reality, you will perform self-supervised learning of aspects such as speech patterns, rhythm, and intonation from human dialogues, and use the results to build better, adaptive text-to-speech systems. This represents a new way to integrate text-to-speech technology, dialogue systems, and generative machine learning. By being speaker-agnostic, the approach seeks to do this without propagating existing biases, to create engaging and inclusive human-computer interactions.
Deadline : 16.Sep.2024
(02) PhD Degree – Fully Funded
PhD position summary/title: Phd students in System Security, Formal Verification and Machine Learning
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.
Deadline : 31.Aug.2024
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Computer Vision and Deep Learning
The advertised doctoral student position is for a VR-funded fundamental research project titled “SeDeCI – Semi-Supervised Deep Learning with Class Imbalanced Data.” The research aims to develop, but is not limited to, semi-supervised learning methods that leverage large-scale data in computer vision while effectively dealing with class data imbalances in a task-agnostic fashion. We seek a candidate who has experience in deep learning, particularly in semi-/self-supervised learning, as well as computer vision.
Deadline : 16.Aug.2024
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Digital Learning
The Digital Learning research group, part of the Department for Learning, explores how technology can support education and learning. The strength of the research group is that we bring together researchers and doctoral students with expertise in both technology and pedagogy. The research is often design-based. This means that we study emerging technologies in learning settings and develop prototypes and methods as part of our research. The doctoral student will carry out research within the E-learning team, a team dedicated to develop, investigate and evaluate the digital learning environment at KTH as well as training and coaching of teaching staff.
The doctoral student will focus on digital engineering education at KTH, where the conditions and limitations of complementary and integrated digital and in-person education will be examined. Examples of current topics we are interested in studying are how to create collaborative engineering education environments, the use of digital meetings and video in education, and assessment and examination in digital environments. The research approach will be design-based and grounded in the Community of Inquiry theoretical framework.
Deadline : 15.Aug.2024
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in protein design
Syrén’s research group is recruiting a PhD student in protein design. The project, which is funded by SSF, involves research groups at KTH and Chalmers and is at the forefront of biocatalysis and enzyme design. The successful candidate needs to be motivated to learn techniques from both of these disciplines as well as have an interest in synthetic biology.
With a growing population and a decrease in the available natural resources on our planet, there is a great need for innovative production methods based on green chemistry. The main aim of this project is to develop new-to-nature protein-based catalysts for selective transformations applied to biopolymers and metabolites. The research area of the PhD student includes de novo protein design, enzyme engineering and synthetic biology to expand nature’s current repertoire with respect to selective biosynthesis.
Deadline : 15.Aug.2024
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Conversational AI
We are looking for a PhD student interested in Artificial Intelligence, Natural Language Processing and Speech Technology, that will work in a newly funded project at the Department of Speech, Music and Hearing) within the School of Electrical Engineering and Computer Science at KTH. The project is financed by the Swedish AI-program WASP (Wallenberg AI, Autonomous Systems and Software Program)), which offers a graduate school with research visits, partner universities, and visiting lecturers.
The newly started project is titled “Thinking Fast and Slow: Real-time Speech Generation for Conversational AI”. The aim of the project is to develop AI-models capable of generating spoken responses in an incremental fashion, mirroring the nuanced and dynamic nature of human conversation. Our approach is inspired by our previous pioneering efforts in the realm of incremental and predictive models for dialogue, which have laid the groundwork for this project. We aim to construct a dual-component system, based on large language models, consisting of a ‘System I’ module for the rapid generation of response prefixes and a ‘System II’ for crafting more considered and detailed responses. This will be complemented by the development of an incremental speech synthesizer, designed to modulate speech rate and prosody in real-time, in response to the unfolding dialogue context. The models will be evaluated in both offline and online settings, employing both simulated interactions to refine our models under controlled conditions and real-world scenarios to validate their effectiveness in practical applications, for example in human-robot interaction.
Deadline : 14.Aug.2024
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Underwater Robotics and Machine Learning
The project involves the use of multiple autonomous underwater vehicles to inspect and monitor an area quickly. The use of machine learning for advance data fusion will be the focus of the research. It will also involve in water testing and development of a system in simulation and partially in hardware. The resources available in SMaRC2.0 will be used. The student will be a participant in WASP/WARAPS
Deadline : 14.Aug.2024
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in machine learning and autonomous decision-making
This research project aims to develop novel theory and methodology for machine learning and autonomous decision-making. We will explore how machine learning algorithms and computing systems can be enhanced and re-imagined for unprecedented accuracy, efficiency, and scalability. The project combines fundamental theory development with practical software design.
The successful candidate will join a dynamic research team that works on fundamental theory, practical algorithms, and applications. We have a strong network of contacts in academia and industry that allows us to blend curiosity-driven research with meaningful collaborations, and to translate theoretical insights into real-world solutions.
Deadline : 08.Aug.2024
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Real-Time Systems
Embedded systems are at the heart of the ongoing digitalisation that transforms all areas of society. Consequently, their complexity is steadily rising. Many of these systems are safety-critical by nature and subject to various timing constraints that need to be met at runtime, requiring formal evidence of correctness. One important type of timing constraint is the end-to-end latency constraint, which describes the time it can take for data to propagate through a chain of communicating tasks.
The research project in which the PhD student will work aims to develop design and formal timing analysis techniques for real-time applications that are subject to different end-to-end latency constraints. The end-to-end latency is influenced by the application’s workload, the implemented communication paradigm and the scheduling algorithm. Of particular interest are applications that are comprised of several, possibly interconnected, task chains. The project will develop design and analysis techniques for such applications that can already be used early in the design process. This can, for example, be a transformation of task properties such that end-to-end latency constraints are always met. The project will also demonstrate that the resulting systems can be efficiently scheduled at runtime.
Deadline : 06.Aug.2024
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in condensed matter theory
The project will mainly focus on quantum many-body physics in the field condensed matter physics. It will involve theoretical investigation of quantum systems both in and out of equilibrium using mainly analytical methods. The group’s current main research interests include quantum chaos, quantum thermalization, disordered systems, nonequilibrium dynamics, and superconductivity.
Deadline : 05.Aug.2024
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Acetivibrio thermocellus for sustainable production
The overall purpose of this project is to develop Acetivibrio thermocellus as a next-generation robust microbial cell factory that can convert (ligno-)cellulose to sustainable fuels and chemicals with minimum pretreatment. The use of lignocellulose, instead of refined sugars, is preferred to expand (future) production volumes, improve cost-competitiveness and avoid competition with food. The project will apply state-of-the-art molecular biology techniques, genomics and proteomics combined with laboratory evolution and quantitative physiology in bioreactors to unlock the potential of A. thermocellus, including:
- Research strategies to achieve increased understanding of the metabolism of the obligately anaerobic thermophile A. thermocellus.
- Functional analysis of the central metabolism of A. thermocellus.
- Metabolic engineering of A. thermocellus for formation of new products.
Deadline :05.Aug.2024
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(12) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in Large Language Model inferencing
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.
Deadline : 05.Aug.2024
(13) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Nanostructured Semiconductors for Photonics
The focus is on the realization of advanced light manipulation functions (e.g. optical resonances, spectrally controlled absorption and engineered light scattering) using photonic semiconductor nanostructures (Mie resonators) and their arrangements for ultra-thin film solar cells. The work involves electromagnetic design, modelling and simulations, nanofabrication in clean room environment, optical characterization, and proof-of-principle device demonstrators in selected semiconductor materials.
Deadline : 31.Jul.2024
(14) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Mixed-Signal ASIC for molecular medical imaging
The research will be conducted in the Division of Electronics and Embedded Systems in collaboration with the medical imaging group at KTH. The aim of the research is to provide the next generation of sensors for molecular imaging and is supported by a recent European ERC advanced grant. The aim is to drastically improve efficiency and spatial resolution, which is expected to have a high impact on the diagnosis of cancer and cardiovascular disease in the future. The sensors will have integrated analog and digital mixed CMOS electronics with ultra-low power consumption. The research will include design, computer simulations, verification, and experimental evaluation. The work will also include frequent contact with our international partners.
Deadline : 31.Jul.2024
(15) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in light-controllable fluorescent proteins in microscopy
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.
The student will investigate the properties of fluorescent probes and how we can use them to develop advanced imaging strategies for the study of cellular processes. The project will focus on the development of different spectroscopic and imaging assays to study the kinetics of photo-controllable fluorescent molecules. Experimental work on optical devices, in the wet lab and on image analysis will be integral parts of the project.
Deadline : 15.Jul.2024
(16) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in smart and resilient microgrids
As a promising smart grid technology, microgrid has attracted great attention in the modern grid for the renewable energy integration as well as the transportation electrification. The microgrid is a typical cyber-physical system with sophisticated software-based control and communication networks, which are vulnerable under cyberattacks. Moreover, microgrid is a power converter dominated grid, which suffers low inertia and stability challenges. This PhD project aims to utilize artificial intelligence methods (e.g., deep reinforcement learning) and data with advanced control methods to develop smart and resilient microgrids with guaranteed stability, security and resilience under various cyberattacks and disturbances. The method will also be extended for large scale grids. This project is funded by WASP.
Deadline : 05.Jul.2024
(17) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in design of mining tool material using ICME
Cemented carbides are materials with tungsten carbide grains and a cobalt binder phase. They have excellent materials properties, but a high dependence on the critical raw material cobalt. This project will investigate replacing cobalt with an iron based binder, and in doing so utilising the martensitic phase transformation to achieve a material with excellent mechanical properties for rock drilling applications. This will be done through a combination of thermodynamic and kinetic modelling through ICME (Integrated and Computational Materials Engineering), experimental materials characterisation (including advanced microscopy and spectroscopy) and testing of materials properties.
Deadline : 05.Jul.2024
(18) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (licentiate) in Resilient Public Transport
Public transport is leading the transformation of the transport sector in Sweden through an early transition to renewable fuels. The current focus is on electrifying the bus fleet, and the sector’s target is for 40% of all journeys to be public transport by 2030. However, the pandemic has brought challenges in the form of increased costs and reduced public travel. The project systematically analyzes resilience by exploring both technical (robustness and adaptability) and socio-ecological resilience (flexibility and agility). Trends such as electrification, digitalization and automation, together with post-pandemic market disruptions, call for new approaches and knowledge creation. Our research highlights synergies between resilient energy and public transport systems and engages stakeholders to assess risks and opportunities.
We are now looking for a PhD student who, in collaboration with the Stockholm Environment Institute (SEI), wants to explore the role and character of a socio-ecologically resilient public transport system in a longer-term perspective. We focus on the effects of transformative trends (pandemic, working from home, etc.), and how the mobility needs of all users are met in a way that is efficient, equitable and resilient to disruption. Sub-studies may include mapping of development trends, simulations of future systems, and resilience solutions supported by simulated case studies.
Deadline : 03.Jul.2024
(19) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in hybrid renewable systems for industrial decarbonization
To achieve rapid decarbonization of the industrial sector, technically efficient and cost-effective hybrid solutions integrating renewable energy technologies, heat electrification and/or upgrading systems, energy storage and power units are deemed. We aim to design, and prototype different technologies, including high temperature thermal energy storage, heat pumps and renewable integrated systems. The doctoral student will have a broad perspective focusing on technology development and performing techno-economic analysis to identify optimal integration opportunities. The main goals of the doctoral work will be to design, prototype and test such technologies in the lab, and to perform system level techno-economic assessment of the proposed systems under different market and industrial applications. The PhD candidate is expected to have international cooperation with EU partners.
Deadline : 03.Jul.2024
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(20) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in underwater communication and signal processing
The Nord Stream incident has demonstrated the vulnerability of critical underwater infrastructure, such as gas pipelines and submarine cables. New technologies for monitoring marine environments are needed to increase security around critical underwater infrastructure and thereby increase the protection of our society and marine environment. A key component required to develop these new technologies is scalable and resource-efficient methods for reconnaissance and communication in underwater environments.
Today sensing and communication are separate processes in most underwater systems. This causes a suboptimal utilization of resources, such as energy, bandwidth, etc. But thanks to technological advancements, it is now realistic to imagine systems that integrate sensing and communication into a single task. Thereby, the systems will be better able to utilize available resources and enable large-scale monitoring of marine environments. Within this PhD project, you will contribute to the development of theory and methods for integrated sensing and communication within underwater systems.
Deadline : 01.Jul.2024
(21) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in robotics for fire risk assessment in rural environments
The division of Mechatronics, KTH, announces a PhD position in robotics for fire risk estimation in rural environments. The department consists of around forty employees organized in several research groups working on topics connected to robotics, such as design, reliability and autonomy. We frequently work with research-related companies, and several examples of companies that have spun off from our research exists today.
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.
Deadline : 30.Jun.2024
(22) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student on structural assessment and inspections of tunnels
The division for Concrete Structures at KTH Civil and Architectural Engineering is looking for a doctoral student to be part of the ongoing senior research project TACK (Tunnel Automatic CracK Detection), which focus on developing a semi-autonomous inspection system for tunnels. The project is multidisciplinary and combines image analysis, deep-learning and finite element modelling to detect and assess the risk of damages in the shotcrete tunnel lining.
Today, the risk related to damage is commonly assessed on experience or empirical knowledge. This project aims to use finite element modelling to increase the knowledge regarding the risk associated with cracks in the shotcrete lining and bond failure between shotcrete and rock. In particular, the aim is to find reasonable threshold values for crack widths and bond failure areas. Moreover, the doctoral student should also investigate the possibility to use modern and high-tech equipment to detect and automate the bond detection procedure and how a digital inspection framework could be implemented and complementary to existing inspection methods.
Deadline : 28.Jun.2024
(23) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in concrete materials
Your main task is researching concrete material, especially on the properties of fresh and hardened concrete. In the field of cement chemistry and particle packing, exciting research is currently underway to find supplementary cementitious materials and develop the concretes of the future. This work has great potential to reduce CO2 emissions from concrete production, as concrete is the world’s most widely used building material. You will have the opportunity to evaluate and test different types of materials and simulate their effects on the fresh and hardened concrete properties.
Deadline : 28.Jun.2024
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD Student in Machine Learning to Evaluate Generative Models
Generative models will revolutionize many industries and professions, with applications like programming assistants already in use. This raises a need for reliable and automated metrics that measure, for example, method robustness and appropriateness. Understanding quality is particularly crucial in domains less intuitive to the average user than images and text, which might require expert evaluation of each generated sample. Currently, only a few automated metrics exist, and their correlation with human judgment is debatable.
This project aims to design and evaluate reliable and aligned automated metrics for generative models trained on content in domains relevant to the gaming industry. The development of computer and mobile games needs the creation content such as animations, sound effects, and dialogue. The growing demand for a continuous stream of new content, coupled with the availability of user-generated content, has raised the interest in machine learning-driven solutions for automatic content generation. Such domain-specific metrics are highly needed for model development in the gaming industry to enable more rigorous testing and comparison between models.
Deadline : 27.Jun.2024
(25) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student metallurgy of recycling of steels
A project funded by Horizon Europe “Metallic Elements Dissipation Avoided by Life cycle design for Steel” (MEDALS) aims to increase the recyclability of steels by removing or mitigating the effects of unwanted elements that accumulate during recycling, so-called tramp elements. The successful candidate shall be expected to perform advanced simulation and modelling to optimise the handling of scrap to improve the quality of recycled material. This may include thermodynamic modelling of pyrometallurgical systems, physical modelling of process phenomena and numerical modelling of accumulated sensor data. The research work at KTH shall also include laboratory experiments, at high temperatures and using advanced materials characterisation techniques. It is anticipated that machine learning and artificial intelligence shall feature in the project, which is a collaboration between universities, companies and research institutes across the European Union.
Deadline : 27.Jun.2024
(26) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Synthetic biology to enhance carbon conversion in cyanobacteria
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 make use of systems biology data, such as genomics and proteomics, to achieve these goals. The project is part of a consortium exploring microbial production of biofuel. The student will work with postdocs and there is the possibility for visits to collaborating laboratories in Finland and France. The project is funded by the European Commission.
Deadline : 26.Jun.2024
(27) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Biophysics
We are looking for a doctoral student for a multidisciplinary and collaborative project at the division of Biophysics, Department of Applied Physics. The goal of the project is to use advanced microchip-based cell culture methods to develop complex 3-dimensional in vitro models of solid tumors (tumor spheroids) to study how the tumor microenvironment affects drug and immunotherapy, and the responsiveness of cytotoxic lymphocytes. For evaluation you will use live cell screening, advances techniques for sample preparation in combination with 3D resolved microscopy, followed by image analysis.
You will work in the thriving Biophysics environment at SciLifeLab, a collaborative hub for experimental and computational biophysics research. The shared resources, including cutting-edge cell biology laboratories, advanced microscopy facilities, and computational infrastructure, form an ecosystem that not only supports cutting-edge life-science research but also facilitates intellectual exchange driven by national and international collaborations.
Deadline : 26.Jun.2024
(28) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in model order reduction for partitioned vibro-acoustics
This doctoral project is part of a larger, multidisciplinary and international project VAMOR: “Vibro-Acoustic Model Order Reduction” (no. 101119903) funded under the Marie-Sklodowska-Curie Actions Doctoral Networks within the Horizon Europe Programme of the European Commission. A joint PhD position between KTH and Le Mans University (LMU) is open to develop numerical schemes enabling the efficient modelling of periodic vibroacoustic systems and to validate the results numerically or experimentally.
Microstructured materials and metamaterials with complex inner motions are often challenging to represent and particularly so when the design space of the unit cell comprises numerous dimensions. The target of the present PhD project is to explore the use of domain decomposition techniques to represent parts of the unit cell of a vibroacoustic metamaterial as well as meta-modelling strategies at the pre-resolution level to avoid large parameter sweeps while capturing the responses over the entire design space with sufficient fidelity.
Deadline :26.Jun.2024
(29) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in reliable structures and optimization
A doctoral position is available at the Division of Material and Structural Mechanics in the Department of Engineering Mechanics. Join our ongoing research on optimization of reliable structures subjected to fatigue loading, where probabilistic constraints are considered. There is statistical variation in the material and in stochastic parameters (e.g. loads), but also in the design variables to be chosen. This project has a focus on time-dependent loads, finite life and on the development of reliability assessment methods. The optimization is usually minimizing the weight, but there can also be other objectives. Here at KTH Material and Structural Mechanics we have developed methods that will be used at the start of this project. The research is to a large extent of a fundamental nature, with applied goals.
Deadline : 25.Jun.2024
(30) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in Biomechanics in movement disability
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.
The doctoral position is financed by Stiftelsen Promobilia, and focuses on motor performance in people with motor impairments after neurological or muscle diseases. You will measure, analyze and model movements, via data from experiments on people with and without disabilities, in the lab and outside using wearable sensors, and via biomechanical simulations and data-driven methods. The goals are to identify movement abnormalities and their connection to physical symptoms.
Deadline : 25.Jun.2024
(31) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Biomechanics: Gait exoskeletons and rehab robotics
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.
Deadline : 25.Jun.2024
(32) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in technology development of spatial workflows
The planned Ph.D. work will be done at Science for Life Laboratory Stockholm, a national and multi-university effort in large-scale life sciences. The Lundeberg laboratory has, in recent years, focused on spatial omics. The research focuses on improving and expanding the spatial capabilities to capture the richness of the tissue ecosystem.
We now seek a new Ph.D. to carry out technology development in spatial methodology. We will prioritize candidates with experience in spatial experimental work, such as spatial transcriptomics and single-cell RNA sequencing analysis. We seek a candidate with experience in tissue handling and imaging with insight into sequenced-based bioinformatics analysis after spatial experiments.
Deadline : 23.Jun.2024
(33) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Quantum enhanced sensing and communication
Squeezed light generation using optical cavities has led to fundamental breakthroughs in several quantum metrology experiments ranging from gravitational wave detection to quantum key distribution. In this project you will investigate the generation, detection and manipulation of squeezed states of light using guided wave devices with applications tailored towards both quantum communication and sensing. You will work in the Nonlinear and Quantum Photonics group at KTH AlbaNova, leading experiments on quantum photonic devices and systems for information,sensing and communication technologies. The position is supported by Swedish Research Council, Göran Gustafsson foundation and the Wallenberg Center for Quantum Technology (WACQT), a 12 years’ initiative with the purpose of advancing Swedish academia and industry to the forefront of quantum technology.
Deadline : 19.Jun.2024
(34) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student (licentiate) in Data/AI driven choice modeling in public transport
The population in the Stockholm region is estimated to be 3.4 million in 2050, a growth of 50% to today’s 2.4 million. The rapid population growth will result in higher traffic congestion and crowding in public transport. Large travel demand is already responsible for noise, pollution, crowding, and stress for travelers and people living in urban areas. There will be a need for policy decisions that can secure robust, reliable, attractive, and sustainable public transport.
Travel and other traditional surveys used for policy decisions experienced a large drop in response rates in past years. With this project, we investigate an alternative of using a large dataset of anonymized longitudinal travel diaries inferred from all the ticket validations in the Stockholm region. You will work on synthesizing data on public transport travelers by revealing the most representative groups and various choice models. You should have experience and interest in working with large datasets, choice and behavioral modeling, user segmentation, profiling, and simulation. Project outputs will contribute to policy decision support tools and enable evaluation of potential impacts of policy decisions on public transport demand and its performance.
Deadline : 19.Jun.2024
(35) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in applied and computational mathematics
The department of Mathematics at the Royal Institute of Technology seeks applications for a Ph.D student position in Applied and Computational Mathematics with specialization in Numerical Analysis. The research project will be focused on development of numerical methods primarily for applications within micro-fluidics (fluid dynamics at the micro scale). The algorithms will to a large extent be based on boundary integral equations, and the project will span over theory, algorithms, software and applications. A specific challenge that will be addressed in the project is how the numerical methods can be further developed for solution of parabolic partial differential equations in time dependent domains (e.g in the interior of a viscous deformable drop).
Deadline : 18.Jun.2024
About KTH Royal Institute of Technology, Stockholm, Sweden – Official Website
KTH Royal Institute of Technology, abbreviated KTH, is a public research university in Stockholm, Sweden. KTH conducts research and education within engineering and technology, and is Sweden’s largest technical university. Currently, KTH consists of five schools with four campuses in and around Stockholm.
KTH was established in 1827 as Teknologiska Institutet (Institute of Technology), and had its roots in Mekaniska skolan (School of Mechanics) that was established in 1798 in Stockholm. But the origin of KTH dates back to the predecessor to Mekaniska skolan, the Laboratorium Mechanicum, which was established in 1697 by Swedish scientist and innovator Christopher Polhem. Laboratorium Mechanicum combined education technology, a laboratory and an exhibition space for innovations. In 1877 KTH received its current name, Kungliga Tekniska högskolan (KTH Royal Institute of Technology). The King of Sweden Carl XVI Gustaf is the High Protector of KTH.
KTH is the highest ranked technical university in Sweden. It is ranked top 100 in the world among all universities in the 2020 QS World University Rankings.
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