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3 PhD Student Positions in Computer Science within WASP – Linköping university, Sweden, Jun 2022

Sweden

Linköping university invites applications for a Ph.D. students position in Computer Science formally based at the Department of Computer and Information Science (IDA) within WASP, Sweden – Jun 2022

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General Info

Position: PhD Position
No. of Positions: 3
Research Field: ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: 4 Years
Salary: According to standard norms

Workplace:
Department of Computer and Information Science

Linköping University, Sweden

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Qualification Details

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 in advanced courses in computer science. Alternatively, you have gained essentially corresponding knowledge in another way.

We are seeking highly motivated doctoral students eager to make a difference in these problems, with good technical background in Computer Science, good programming skills, and some experience in AI/ML areas such as planning, logic and knowledge representation, combinatorial optimization and SAT, deep learning, and/or deep reinforcement learning.

Please make sure to explicitly address these qualifications in your application; namely, whether you have a background in CS theory, logic, and algorithms, and what is your research experience in these areas. Candidates whose CS/AI expertise is just in deep learning applied to vision or natural language, will not be considered.

The doctoral students will pursue their research and dissertation in the context of these themes, on specific topics themes that will be a function of their background, skills, and interests, and the needs of the project.

Responsibilities/Job Description

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

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: https://wasp-sweden.org/

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: https://wasp-sweden.org/graduate-school/

Your work assignments

The student(s) will carry out research directed by Hector Geffner, a Wallenberg Guest Professor in Artificial Intelligence at LiU, and recipient of an Advanced ERC Grant on representation learning for acting and planning (RLeap, 2020-2025).

The research is focused on a problem that is at the heart of the current split in AI between data-based learners and model-based reasoners: the problem of learning models from data, and more generally, the problem of learning representations from data over known formal languages with a known structure and semantics. While these representations are to be learned using deep learning methods, the use of domain-independent target languages for learning is aimed at obtaining representations that generalize and can be reused, and which are more transparent and require less data. In the setting of action and planning, language-based representations have been used to represent general dynamics, general control strategies, and general subgoal structures (intrinsic rewards). See the paper "Target Languages (vs. Inductive Biases) for Learning to Act and Plan" (AAAI 2022) for details (https://arxiv.org/abs/2109.07195).

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.

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.

How to Apply?

Application Method: Online Application
Ref. No.: IDA-2022-00102

Application Procedure

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than June 15, 2022.

Applications and documents received after the date above will not be considered.

About the Employer:

Note or Other details

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 here.

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

By agreement.

Salary and employment benefits

The salary of doctoral 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.

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Contact details

Hector Geffner
Professor
[email protected]

Sandra Malmström
HR-administrator
[email protected]

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