PhD student in Computer Science within WASP
| Published | February 17, 2023 |
| Location | Linköping, Sweden |
| Category | Machine Learning |
| Job Type | Scholarship |
Description
Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!
The Department of Computer and Information Science was founded in 1983 but its roots go back to the early 1970s. It is one of the largest computer science departments in northern Europe.
Our research covers a broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming.
Read more at https://liu.se/en/organisation/liu/ida
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, 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 about WASP here.
Your work assignments
As a doctoral 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.
You will carry out research supervised by Jendrik Seipp, Assistant Professor in Artificial Intelligence at LiU.
The research for the advertised position will be within the project "Learning Trustworthy Planning Algorithms". The project is situated at the intersection of automated planning and machine learning and tackles one of the key challenges in AI: bridging the gap between learning and reasoning. In particular, we will use machine learning to automatically
- learn planning algorithms that find optimal solutions,
- learn planners that dynamically adapt their solution strategy to a given task, and
- learn trustworthy planning agents in real-world scenarios.
For the exact topic the student's background, skills and interests will be taken into account. We expect the project to involve both theoretical and experimental work.
Your workplace
You will belong to RLPLAB (Representation, Learning and Planning Lab) within the AIICS division (Artificial Intelligence and Integrated Computer Systems). For details click here.
As a PhD student you will also be part of WASP’s national graduate school. The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Read more about the graduate school here.
Your qualifications
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, machine 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.
In your application, please include
- an academic CV that includes the names and email addresses of 1-2 referees,
- a transcript of records listing your courses and grades,
- links to your theses and (if applicable) publications, and
- a cover letter of at most two pages, explaining your motivation and why you fit the advertised position.
Terms of employment
When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University
The employment has a duration of four years’ full-time equivalent. You will initially be employed for a period of one year. The employment will subsequently be renewed for periods of maximum duration two years, depending on your progress through the study plan. The employment may be extended up to a maximum of five years, based on the amount of teaching and departmental duties you have carried out. Further extensions can be granted in special circumstances.
Starting date
September 1st or by agreement.
Salary and employment benefits
The salary of PhD students is determined according to a locally negotiated salary progression.
More information about employment benefits at Linköping University is available here.
Union representatives
Information about union representatives, see Help for applicants.
Application procedure
Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than April 20th 2023.
Applications and documents received after the date above will not be considered.
We welcome applicants with different backgrounds, experiences and perspectives - diversity enriches our work and helps us grow. Preserving everybody's equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities.
We look forward to receiving your application!
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