KTH Royal Institute of Technology, Stockholm, Sweden invites online Application for number of PhD Positions at various Departments. We are providing a list of Fully Funded PhD Positions available at KTH Royal Institute of Technology, Stockholm, Sweden.
Eligible candidate may Apply as soon as possible.
(01) PhD Position – Fully Funded
PhD position summary/title:–Doctoral students in Computational Fluid Dynamics and Heat Transfer
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. In the other project, water spray cooling will be optimized to increase the heat transfer of both the liquid droplets as well as the steam distribution inside an infusion vessel. LES will be employed to assess the increased complexity regarding flow, heat, phase change, and relative motion of the particles. The PhD students will work in a research group within the successful research environment FLOW (www.flow.kth.se) at the Department of Engineering Mechanics.
Deadline : 02.May.2024
(02) PhD Position – Fully Funded
PhD position summary/title:–Doctoral student in Solid Mechanics
We are looking for a doctoral student to develop and validate numerical tools for examining the mechanical behaviour of fibre network materials across all relevant length scales, from the fibre joint level to the continuum, in the “Concurrent Multiscale Micromechanical Modelling of Fibre Networks” project. The project aims to advance a concurrent multiscale approach, incorporating plasticity, hygroexpansion, viscoelasticity, and damage at both the fibre and fibre connectivity scale.
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.
Deadline : 31.May.2024
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(03) PhD Position – Fully Funded
PhD position summary/title:–Doctoral student in nuclear materials science
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.
Deadline : 30.May.2024
(04) PhD Position – Fully Funded
PhD position summary/title:–Doctoral students in learning and optimization for edge computing
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.
Deadline : 30.May.2024
(05) PhD Position – Fully Funded
PhD position summary/title:–Doctoral student in Machine Learning for Dynamical Systems
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.
Deadline : 30.May.2024
(06) PhD Position – Fully Funded
PhD position summary/title:–Doctoral student in Hybrid Energy Storage
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. The development of new electrochemical batteries, hydrogen storage and fuel cells, electrical vehicles (and their connection to the grid via Vehicle-to-Grid, V2G), new services and actors in the grid all allows for interesting possibilities where HESS can contribute.
Deadline : 30.May.2024
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(07) PhD Position – Fully Funded
PhD position summary/title:–Doctoral student in radar systems
The project focuses on beam-forming techniques for modern antenna-array based radar systems. Different techniques, including machine-learning, will be investigated for advanced digital, analog and hybrid beam-forming concepts, and applied to generating arbitrary beam-shapes in multi-static and passive radar systems. The work is primarily to be done by using simulation and computation software. If a hardware platform will be available before the end of the project, an implementation of the techniques on that platform will be carried out. The project requires a background in electrical engineering, radar systems, electromagnetic simulations, basic signal processing techniques, and preferably also machine learning.
Deadline : 23.May.2024
(08) PhD Position – Fully Funded
PhD position summary/title:–Doctoral student in digital transformation in the built environment
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.
Deadline : 23.May.2024
(09) PhD Position – Fully Funded
PhD position summary/title:–Doctoral student in machine learning for traffic optimization
The Division of Decision and Control Systems is currently looking for a doctoral student with a strong background and interest in machine learning, mathematics, and traffic models. The successful candidate will join a world-renowned team on an interdisciplinary project to advance machine learning models for tackling complex traffic problems. We are pioneers in traffic estimation using physics-informed machine learning and we ambition to leverage this technique for enhancing traffic flow forecasting, optimizing vehicle routing and scheduling, and improving last-mile delivery in real-world traffic scenarios.
Deadline : 23.May.2024
(10) PhD Position – Fully Funded
PhD position summary/title:–PhD students in networked learning and control cyber-physical-human systems
The Division of Decision and Control Systems is looking for up to two doctoral students with a strong background in control systems, mathematics, and modeling, and with a keen interest in network theory. The project lies in the intersection of network dynamics, learning, and control, and aims at addressing theoretical challenges within networked cyber-physical-human systems (cphs). These systems are characterized by humans in interconnected communities making decisions while interacting with a cyber-physical or control system, and applications include complex socio-technical systems such as smart cities. The project will include learning complex dynamics from big data and rigorous characterization and (data-based) modeling of decision-making dynamics over networked cphs, in addition to the development of novel tools to design and assess the impact of control strategies or interventions.
Deadline : 23.May.2024
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(11) PhD Position – Fully Funded
PhD position summary/title:–Doctoral student in Astrophysics
The PhD student will join the division for particle physics, astrophysics and medical imaging at the Department of Physics. The astrophysics research at the division focuses on analysis and interpretation of observational data of cosmic explosions and compact objects, as well as the development of instrumentation for X-ray astronomy. These activities are a part of the Oskar Klein Centre at AlbaNova University Centre, which provides a prominent and stimulating research environment. The Nordic Institute for Theoretical Physics (NORDITA) is located nearby.
Deadline : 23.May.2024
(12) PhD Position – Fully Funded
PhD position summary/title:–Doctoral student (licentiate) in organising for energy efficient hospitals
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.
Deadline : 23.May.2024
(13) PhD Position – Fully Funded
PhD position summary/title:–PhD student within Multi-Modal Modeling of Spatial Biology Data
At KTH Royal Institute of Technology/SciLifeLab, we are looking to fill the position as PhD student in data-driven cell and molecular biology covers research that fundamentally transforms our knowledge about how cells function by peering into their molecular components in time and space, from single molecules to native tissue environments.
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.
Multi-modal generative models are likely to become an increasingly crucial biological research tool. Due to the complex nature of many biological systems, any single modality is unlikely to describe their properties fully. Therefore, leveraging a learned knowledge base that spans multiple modalities and anatomical conditions is crucial for interpreting the data and accelerating discovery. For this purpose, the PhD student will employ our unique spatial multimodal datasets of tissue morphology, gene expression, genome integrity, and metabolites. The primary goal for the PhD student is to explore spatial datasets and develop data-driven methods to improve our understanding of biological systems in health and disease. The position also includes teaching and other duties in the department.
Deadline : 23.May.2024
(14) PhD Position – Fully Funded
PhD position summary/title:–Doctoral student in Human Computer-Interaction
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. The doctoral student is expected to engage in interview and observation studies in school settings and in development and evaluation of multisensory learning applications with pupils from the two demographics in this project.
Deadline : 23.May.2024
(15) PhD Position – Fully Funded
PhD position summary/title:–Doctoral student (lic.) in Production Engineering with focus in Circular Manufacturing Systems (CMS)
We invite applications for a doctoral student in research on Circular Manufacturing Systems (CMS) and their implementation. The position is to a licentiate degree, with the possibility to extend to a PhD degree. The successful candidate will join a research team within the department of production engineering that is carrying out state-of-the-art research aiming to help the European manufacturing industry transform its linear model into circular manufacturing model. This entails a fundamentally new approach to resources and their conservation, initiated at the conceptual design stage of products with a rigorous insight into the entire lifecycle of the products.
Deadline : 23.May.2024
(16) PhD Position – Fully Funded
PhD position summary/title:–Doctoral student in control and social learning with large-language models
This PhD project aims at understanding the behavior of LLM (Large Language Model)-powered agents, as they interact with humans or other agents. Unlike current research efforts at trying to explain AI models or their predictions, the approach of this project will consist in viewing the agents as black-box economic agents, or “utility maximizers”, and in employing tools from dynamical systems and control, microeconomics and social learning to test the rationality of their decisions and understand the pitfalls commonly encountered when rational agents interact in an environment.
Deadline : 23.May.2024
(17) PhD Position – Fully Funded
PhD position summary/title:–Doctoral student in Human-Centric Indoor Climate using CFD and VR
This Ph.D. position is integral to the HumanIC European training network. The initiative aims to cultivate early-stage engineers and scientists, adopting a novel, human-centric approach to indoor climate in Healthcare Environments. This position focuses on sustainable methods for designing and managing indoor environments characterized by a favorable thermal climate and minimized airborne particle spread. The approach combines laboratory measurements with numerical simulations, specifically Computational Fluid Dynamics (CFD) and advanced Visualization techniques, including Virtual and Extended Reality (VR and XR), to render the invisible aspects of indoor air quality perceptible and heighten awareness of its health impacts on occupants. The emphasis is on designing and optimizing building ventilation to enhance indoor air quality and thermal comfort, mitigate respiratory disease transmission, and ensure a healthy indoor climate for occupants.
Deadline : 17.May.2024
(18) PhD Position – Fully Funded
PhD position summary/title:–Doctoral students in secure networked learning and control systems
The Division of Decision and Control Systems and the Division of Network and Systems Engineering are looking for one doctoral student with a very strong background and interest in control systems, mathematics, Bayesian inference, and modeling. The successful candidate will join a project on developing rigorous, novel tools for the fundamental understanding and engineering design of secure networked control systems. In particular, the focus will lie on the development of quantitative risk analysis tools for networked control systems with machine learning components and of algorithms for the detection of cyber-physical attacks, within the framework of a new WASP-project.
Deadline : 16.May.2024
(19) PhD Position – Fully Funded
PhD position summary/title:–Doctoral student in Machine Learning to interpret dog communication
The project’s goal is to develop an automatic interpreter from dog communicative behavior to textual descriptions, to give humans insight into how a dog in their care experiences the world. The project includes method development in Computer Vision – to extract 3D poses for animals in video, and in Machine Learning – to develop neural language models and methods for semi-supervised learning. Design and execution of data collection on dogs is an important element of this project, and the project is conducted in collaboration with ethologists at SLU in Uppsala.
Deadline : 16.May.2024
(20) PhD Position – 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 : 16.May.2024
(21) PhD Position – 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.May.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.
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