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: 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 : 30.Sep.2024
(02) 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
View All Fully Funded PhD Positions Click Here
(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Multimodal AI for Human-Robot Interaction
We are looking for a motivated PhD student for the WASP WARA Media and Language project “BELLA: Building Expressive Language for Likeable Agents” at KTH Royal Institute of Technology’s Department of Intelligent Systems, Division of Speech, Music, and Hearing (TMH).
This project aims to enhance Human-Robot Interaction (HRI) through embodied AI by integrating multimodal social cues and task-related actions into foundation models, enabling more natural and human-like communication. While Large Language Models have advanced AI significantly, current systems lack understanding and generation of crucial social cues like facial expressions, gestures, and gaze direction, as well as the ability to incorporate task-specific behaviors. This project aims to bridge these gaps.
Deadline : 31.Aug.2024
(04) 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 : 30.Aug.2024
(05) 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 : 16.Aug.2024
Polite Follow-Up Email to Professor : When and How You should Write
Click here to know “How to write a Postdoc Job Application or Email”
(06) 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
(07) 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
(08) 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
Click here to know “How to Write an Effective Cover Letter”
(09) 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
For more information see: WASP | Wallenberg AI, Autonomous Systems and Software Program and Graduate School | WASP (wasp-sweden.org)
Deadline : 14.Aug.2024
(10) 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
Connect with Us for Latest Job updates
(11) 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 : 09.Aug.2024
Polite Follow-Up Email to Professor : When and How You should Write
(12) 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.
At the Unit of Structures you will work in an international research environment, in collaboration with experts in theoretical, computational and experimental studies of materials.
Deadline : 08.Aug.2024
(13) 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
(14) 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
(15) 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.
Deadline : 05.Aug.2024
Top 25 Free Statistical Analysis Software 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.
Disclaimer: We try to ensure that the information we post on VacancyEdu.com is accurate. However, despite our best efforts, some of the content may contain errors. You can trust us, but please conduct your own checks too.
Related Posts
- 24 PhD Degree-Fully Funded at University of Plymouth, England
- 03 PhD Degree-Fully Funded at University of Oslo, Norway
- 24 PhD Degree-Fully Funded at University of Zurich, Switzerland
- 11 PhD Degree-Fully Funded at University of Bergen, Bergen, Norway
- 43 PhD Degree-Fully Funded at University of Luxembourg, Luxembourg
- 35 PhD Degree-Fully Funded at Delft University of Technology (TU Delft), Netherlands
- 12 PhD Degree-Fully Funded at Inria, France
- 10 PhD Degree-Fully Funded at University of Liverpool, Liverpool, England
- 11 PhD Degree-Fully Funded at Maastricht University, Netherlands
