PhD student in AI and machine learning

16 May 2024
Job Information

Organisation/Company

Linköping University

Research Field

Technology » Computer technology
Computer science » Autonomic computing
Computer science » Other

Researcher Profile

First Stage Researcher (R1)

Country

Sweden

Application Deadline

9 Jun 2024 - 22:00 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

853--1-24460

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!

We are looking for a PhD student in AI and machine learning with a focus on generative machine learning methods for cyber security applications.

Your work assignments

The primary focus of this PhD student position is research on generative machine learning methods for cyber security applications. The research is led by Professor Fredrik Heintz who will be the main supervisor. The research is part of the WASP NEST SOURCE (Secure Operation of Uncontrolled and Reliable Computing on the Edges) coordinated by Lund University.

You will be a WASP PhD student and be part of the WASP Graduate School including following its curriculum.

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/

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.

Your qualifications

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 an advantage, 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.

Motivate in your personal letter why you are interested in the position and why you are especially qualified for it.

Your workplace

You will be employed in the Reasoning and Learning Lab (ReaL), Division of Artificial Intelligence and Integrated Computer Systems (AIICS) at the Department of Computer and Information Science (IDA) at Linköping University.

Linköping University is an AI research excellence center with strong and broad research and education in AI both from a technical and interdisciplinary perspective. Coordinator of one of the four EU-funded networks of AI research excellence centers (TAILOR). Host of the largest basic research program in Sweden Wallenberg AI, Autonomous Systems and Software Program (WASP) as well as the Wallenberg AI and Transformative Technologies Education Development Program (WASP-ED). Host of the National Academic Infrastructure for Supercomputing in Sweden (NAISS) including an Nvidia SuperPOD (Berzelius).

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 society and industry.
Read more: https://wasp-sweden.org/

The Division of Artificial Intelligence and Integrated Computer Systems is highly regarded internationally for its research in many areas of artificial intelligence with a history dating back to the 70s. The Reasoning and Learning Lab mainly conducts research in the areas of machine learning, machine reasoning and their intersection with applications in, for example, autonomous systems, multi agent systems, and industrial use cases.

The 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 by agreement.

Background screening may come to be carried out before any decision on employment is made.

 

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 June 10, 2024.

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!

Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.

Requirements

Research Field

Computer science

Education Level

Master Degree or equivalent

Languages

ENGLISH

Level

Good

Research Field

Computer science » Other

Years of Research Experience

1 - 4

Research Field

Computer science » Autonomic computing

Years of Research Experience

1 - 4

Additional Information
Work Location(s)

Number of offers available

1

Company/Institute

Linköping University

Country

Sweden

City

Linköping

Postal Code

58183

Street

Campus Valla

Where to apply

Website

https://web103.reachmee.com/ext/I011/853/main?site=7&validator=d7a66c13be778ef9…

Contact

City

Linköping

Street

Campus Valla

Postal Code

58183

STATUS: EXPIRED