Are you a Master’s graduate looking for fully funded PhD opportunities? Explore the range of funded PhD programs available at the KTH Royal Institute of Technology, Stockholm, Sweden. Apply online now and kickstart your doctoral journey!
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: 30.Sep.2024
2. 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.
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.
Application Deadline: 30.Sep.2024
Follow us for regular updates
3. Fully Funded PhD Position in metallurgy of recycling of steels
Summary of PhD Program:
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.
Application Deadline: 30.Sep.2024
4. Fully Funded PhD Position in Generative Modelling of Conversational Dynamics
Summary of PhD Program:
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.
Application Deadline: 16.Sep.2024
