PhD students in AI and machine learning with a focus on large language models

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We are looking for 1–2 PhD students in AI and machine learning with a focus on large language models. The positions are funded by WASP and the students will participate in the WASP Graduate School.

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/

Your work assignments

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.

The research for this position will develop methods for making large language models more efficient by dividing them into modules that can be trained and updated independently of other model parts. Such methods are especially interesting when building models for lower-resourced languages with little training data.

Read more: https://www.ida.liu.se/divisions/aiics/nlp/phd-student/

Your workplace

You will work in the Natural Language Processing Group within the Division for Artificial Intelligence and Integrated Computer Systems (AIICS).

Read more: https://www.ida.liu.se/divisions/aiics/nlp/

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 programmes in statistics, cognitive science and innovative programming.

Read more: https://liu.se/en/organisation/liu/ida

Linköping University is an AI research excellence centre with strong and broad research and education in AI from a technical and interdisciplinary perspective. LiU is the coordinator of one of the four EU-funded networks of AI research excellence centres (TAILOR) and the host of the largest basic research programme in Sweden (Wallenberg AI, Autonomous Systems and Software Program, WASP) as well as the Wallenberg AI and Transformative Technologies Education Development Program (WASP-ED). LiU also hosts the National Academic Infrastructure for Supercomputing in Sweden (NAISS), which includes an NVIDIA SuperPOD (Berzelius).

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. The graduate school offers a unique opportunity for students who are interested in world-class international research with industrial relevance.

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

Your qualifications

We are looking for a goal-oriented person who can work with complex issues, independently pursue their work, and collaborate with others.

You should have a Master’s degree in computer science or have completed coursework amounting to at least 240 ECTS, including 60 ECTS from second-cycle courses in computer science. Alternatively, you have gained essentially corresponding knowledge in another way. You should also have high proficiency in written and oral English communication.

You should have very good knowledge of and practical experience with machine learning and programming. Experience with large language models and research experience from undergraduate education are meritorious.

In your personal letter, we expect you to explain why you are interested in this position and consider yourself a good fit for it.

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.

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 October 19, 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!

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

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