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Postdoctoral Position in Computer Science within WASP- Linköping university, Sweden, Jun 2022

Sweden

Linköping university invites applications for a Postdoctoral position in Computer Science at the Department of Computer and Information Science (IDA) within WASP, Sweden – Jun 2022

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General Info

Position: Postdoctoral Position
No. of Positions: 1
Research Field: ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: 2 Years
Salary: According to standard norms

Workplace:
Department of Computer and Information Science

Linköping University, Sweden

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Qualification Details

We are seeking a highly motivated postddoctoral student eager to make a difference in these problems, with a 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 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.Postdoctoral students pursue their research on specific themes that are a function of their background, skills, and interests, and the needs of the project.

To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree.  This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.

It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.

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 andknowledge, 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/

Work assignments

The postdoctoral student 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 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), among other types of structures. 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 postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.

How to Apply?

Application Method: Online Application
Ref. No.: IDA-2022-00101

Application Procedure

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

Applications received after the deadline will not be considered.

About the Employer:

Note or Other details

The 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.

About this job

This post is a temporary contract of two years with the possibility of extension up to a total maximum of three years. The position as a postdoc is full-time.

Starting date

By agreement.

Salary

Salaries at the university are set individually. State your desired salary in the application.

More information about employee benefits is available here.

Trade union representatives

Information about trade union contacts can be found here.

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Contact details

Hector Geffner
Professor
[email protected]

Sandra Malmström
HR-administrator|
[email protected]

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