Linkoping University, 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 Linkoping University, Sweden.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Medical Science
Your work will entail the investigation of how Wnt signaling, a cell-to-cell communication pathway conserved across the animal kingdom, acts as master regulator of cell fate. While the mechanisms of canonical Wnt pathway have been extensively studied, it is yet not understood how nuclear protein β-catenin can drive the wide arrays of transcriptional responses depending on the context or developmental stage. You will investigate how the activation of Wnt signaling leads to promiscuous protein-protein interactions that, in a complex but deterministic manner, steer genomic function to regulate and fine-tune cell fate.
As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.
Deadline : January 2nd, 2024.
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Machine Learning
The research focus for the advertised position is machine learning for spatio-temporal modeling, prediction, and reasoning. The project involves the development of novel methods for combining deep-learning-based predictive models (for instance based on graph neural networks, transformers and neural operators) with probabilistic models for representing and reasoning about uncertainties in the models and their predictions (for instance by using latent variables, deep generative models, and ensemble predictions). The project involves both fundamental research on new machine learning models and computational algorithms, as well as applied research to demonstrate the usefulness of the new methods. For the latter, particular emphasis will be put on problems related to weather forecasting and climate science. Examples of this include predicting the risk of extreme weather events, combining predictive models with remotely observed data (e.g. hyperspectral images from satellites), and developing space-time continuous machine learning models. The PhD project will be carried out in collaboration with the Swedish Meteorological and Hydrological Institute (SMHI). Machine learning has made a significant impact on applications related to climate and weather over the past few years and the advertised PhD project will contribute to this development.
Deadline : January 14, 2024
(03) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Software Engineering within WASP Graduate School
We are looking for a PhD student in Critical Software-Intensive Systems within the WASP Graduate School.
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: wasp-sweden.org
Deadline : January 15, 2024.
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD student in AI and machine learning
We are looking for enthusiastic people to join our interdisciplinary research group. You should enjoy working as part of a team and be willing to learn from your co-workers and to share your knowledge and experience with them in return.
Scientific curiosity and the ability to think independently are essential personal qualities in a candidate. You will be expected to engage with colleagues and cooperate in supporting the activities of the research group. You must also have excellent oral and written communication skills in English. Oral and written communication skills in Swedish is a merit.
You have graduated at Master’s level in computer science or completed courses with a minimum of 240 credits, at least 60 of which must be advanced courses in computer science, mathematics, AI, machine learning or similar. The applicant is expected to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and experience in deep learning and generative AI is considered an advantage. Undergraduate research experience is a merit, but not a requirement.
Deadline : January 15, 2024.
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Scientific data analysis and visualization
This position is part of the project “Scientific data analysis and visualization via topology guided feature extraction and comparison” funded by the Swedish Research Council. The goal of this project is to develop new methods for explorative visual analysis of large feature-rich datasets derived from simulations or experiments. In recent years, feature-based analysis methods rooted in the strong mathematical foundations of topological data analysis (TDA) techniques have shown a lot of promise for addressing this challenge. The first step in this process is feature extraction, wherein hidden substructures in the data are identified and extracted using multi-scale feature descriptors based on the potent data abstraction capabilities of TDA. However, the primary emphasis of this project lies in the subsequent step of this visual data analysis pipeline, namely feature comparison. This is an active area of current research with many open questions. Efficient feature comparison methods would enable various downstream analysis tasks such as data summarization, feature tracking, and ensemble analysis.
Your primary research task will be to develop new algorithms as well as implement practical efficient solutions for computation and comparison of features using TDA-based techniques. An equally important task will be the application of the developed techniques to real scientific data provided by our collaborators with expertise in theoretical chemistry and physics. We envision the novel data analysis and visualization techniques developed during this project will be particularly useful for gaining insight into complex multi-dimensional data generated through workflows rooted in quantum mechanics.
Deadline : 22nd of January 2024.
(06) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Computer Science within WASP Graduate School
We are looking for a PhD student in Computer Science formally based at the Department of Computer and Information Science (IDA) as part of the national research program WASP.
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans. Read more about WASP here.
Deadline : January 29th 2024.
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD students in Remote Sensing
We are looking for up to three PhD students in Remote Sensing at the Division of Computer Vision, Department of Electrical Engineering.
Deadline : January 31, 2024.
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Communication Systems
We are looking for a PhD student to the Division of Communication Systems at the Department of Electrical Engineering.
Deadline : January 31, 2024.
(09) PhD Degree – Fully Funded
PhD position summary/title: PhD student in computer science specializing in cybersecurity
We are looking for two PhD students in computer science specializing in cybersecurity.
Deadline : February 12, 2024.
About Linkoping University, Sweden –Official Website
Linköping University is a public university in Linköping, Sweden. Linköping University was granted full university status in 1975 and is now one of Sweden’s larger academic institutions. Education, research and PhD training are the mission of four faculties: Arts and Sciences, Educational Sciences, Medicine and Health Sciences, and the Institute of Technology. In order to facilitate interdisciplinary work, there are 12 large departments combining knowledge from several disciplines and often belonging under more than one faculty. Linköping University emphasises dialogue with the surrounding business sphere and the community at large, both in terms of research and education. In 2018, Linköping University was home to 32,000 students and 4,000 employees.
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