Are you holding Master’s degree and ready to elevate your academic journey to the highest level? Linkoping University, Sweden, has announced a multiple fully funded PhD positions awaiting talented individuals like you. Don’t miss your chance to be part of our vibrant academic community. Explore the exciting PhD positions available and submit your application today!”
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible.
(01) Fully Funded PhD Position
PhD position summary/title:–PhD student in autonomous systems
Machine learning and optimal control are core techniques to enable an autonomous system to plan and act in dynamic and uncertain environments where actors enter and leave the environment dynamically and where the behavior of surrounding actors is uncertain. The development of theory, models, and methods to solve this problem contains major research challenges. This is a very active field of research, driven also by the development of autonomous vehicles that need to act in environments with different levels of complexity.
In this project we research new methods in machine learning and optimal control, and how they can be combined to generate robust and resilient methods for planning and control of autonomous systems. A core research question is how the behavior of the surrounding environment, e.g., pedestrians, cyclists, cars, can be predicted, and how they influence each other, and how this can be used to make probabilistic predictions of future behavior. These predictions should then be used to obtain proactive decision-making and control. The basic research and theoretical models will be evaluated in real-life datasets, e.g., in automated driving.
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 : September 9, 2024
(02) Fully Funded PhD Position
PhD position summary/title:– PhD student in quantitative logistics with focus on electric aviation
You will work within the Electric Aviation Network (EAN) project, which aims to develop decision support tools for electric aircraft network development. This includes demand modeling and market analysis, considering different types of aircraft – electric, conventional and hybrid, as well as other means of transportation. Furthermore, investment models for airports will be constructed, giving information about e.g. where charging infrastructure is needed, and how else airports need to prepare for electric aircraft traffic. Models for network planning will be developed, considering airports that today to do serve commercial traffic, and considering charging time constraints and charging prerequisites. Also, joint planning of flights between airports and more flexible unmanned eVTOL flights will be considered, as well as how these two new types of aircraft will affect the conventional air traffic management and the upcoming U-space (the unmanned traffic management system).
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 :15th of september 2024.
View more Fully Funded PhD Positions Click Here
(03) Fully Funded PhD Position
PhD position summary/title:– PhD Student in Vehicular Systems within the SEDDIT Competence Center
The problem considers real-time planning of electric heavy-duty vehicles utilizing sensor data from the vehicle fleet. Heavy-duty vehicles have become moving sensor platforms that can be used to monitor driving and traffic conditions. This type of information is useful to plan the routes of other vehicles in the fleet and where to charge. Even though all vehicles are connected, data transfer capabilities on the road limit how much data that can be shared between vehicles. Therefore, data must be processed on each vehicle to extract information that is relevant for other vehicles, but it is also important to determine what information that should be shared and when. The project is part of the Vinnova Competence Center SEDDIT and will contain both theoretical and application-oriented challenges and will be in close collaboration with our industrial partners.
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 : September 16, 2024.
(04) Fully Funded PhD Position
PhD position summary/title:– PhD student in Computer Science
We seek a highly motivated doctoral student eager to make a difference in artificial intelligence. Candidates should have a master’s degree in computer science or completed coursework amounting to at least 240 ECTS-credits including at least 60 ECTS-credits from the second cycle in the field of computer science; alternatively demonstrated essentially equivalent knowledge.
We expect candidates to have previous experience in areas such as automated planning, reinforcement learning, logic or combinatorial optimization. Furthermore, candidates should have excellent study results, very good programming skills and high proficiency in oral and written communication in English.
Deadline : September 30th 2024.
(05) Fully Funded PhD Position
PhD position summary/title:– PhD Student in Energy Systems for a Project on the Role of Hydrogen in Sweden’s Energy System
The research project you will be working on aims to analyze the role of hydrogen in Sweden’s energy system, with a focus on both historical and contemporary conditions. The goal is to increase knowledge about the technical and societal conditions, risks, and opportunities of hydrogen. You will collaborate closely with a doctoral student with a social science background at Chalmers. Drawing from your previous educational backgrounds, you will work together to highlight various aspects of the role and integration of hydrogen, with support and expertise provided by your doctoral supervisors and research colleagues. Additionally, you will collaborate and have the opportunity to build your own network within the framework of the Graduate School in Energy Systems’ courses and meetings (e.g. doctoral meetings).
The research aims to provide decision-making support for companies, municipalities, and the national parliament, with an emphasis on collaboration with external stakeholders such as industry organizations and companies. The project offers interesting cases and contexts to study, with potential examples including hydrogen in agriculture, the transport sector, the energy sector, and industry. As a doctoral student, you will have the opportunity, with the support of your supervisors, to design your dissertation work within the framework of the project’s research agenda.
The doctoral position is funded by the Swedish Energy Agency through the Graduate School in Energy Systems program. As part of the position, you will participate in the activities of the Graduate School in Energy Systems, where you will also complete a joint course package of approximately 30 credits (read more at foes.se).
Deadline : 1st of October 2024.
(06) Fully Funded PhD Position
PhD position summary/title:– PhD student in brain-inspired neuromorphic computing systems on chip
The main focus of the project is research, development, and design of integrated brain-inspired neuromorphic computing systems on chip. The goal is to generate new knowledge and to create state-of-the-art hardware platform solutions for design of energy-efficient computing and signal processing systems for a wide range of future applications in AI and biomedical systems. The project is expected to demonstrate innovative neuromorphic systems solutions to be designed in advanced CMOS and possibly other semiconductor technologies, measured, verified, and published in top international journals and conferences in the field.
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 : November 30, 2024.
Connect with Us for Latest Job updates
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.
Disclaimer: We try to ensure that the information we post on PhdNest.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
- 14 Fully Funded PhD Positions at Chalmers University of Technology, Gothenburg, Sweden
- 04 Fully Funded PhD Positions at Umea University, Sweden
- 10 Fully Funded PhD Positions at Swansea University, Wales, United Kingdom
- 08 Fully Funded PhD Positions at Aalborg University, Denmark
- 23 Fully Funded PhD Positions at Forschungszentrum Julich, Germany
- 18 Fully Funded PhD Positions at University of Basel, Switzerland
- 04 Fully Funded PhD Positions at EMPA, Zurich, Switzerland
- 23 Fully Funded PhD Positions at Inria, France
- 06 Fully Funded PhD Positions at Linkoping University, Sweden
- 22 Fully Funded PhD Positions at Delft University of Technology (TU Delft), Netherlands
- 17 Fully Funded PhD Positions at University of Liverpool, England
- 11 Fully Funded PhD Positions at Maastricht University, Netherlands
