Application Expert in AI/ML for the Supercomputer Centre

Reference number LiU-2026-00965

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!

National Supercomputer Centre (NSC) houses large-scale parallel computer systems and advanced computer graphics equipment for visualisation and virtual reality. We hold courses in the use of high-performance computing (HPC) resources, run a help desk and collaborate directly with R&D projects in the HPC field. Our aim is to provide Sweden’s most attractive environment for research in scientific fields that perform large-scale calculations and other e-science activities. Our computers are available to users around the clock, every day of the year.
Read more at www.nsc.liu.se

We are recruiting up to three (3) experts in artificial intelligence and machine learning (AI/ML) to develop advanced computing and data storage services for Swedish research using high-performance computing (HPC).

The position

As a result of increased investments from the Knut and Alice Wallenberg Foundation (KAW) and EuroHPC, NSC is further strengthening its expertise in AI/ML, and we are seeking individuals with strong competence in modern AI/ML methods, such as deep neural networks, to develop computational resources, associated services, and training activities that meet the needs of KAW's research initiatives and the growing focus on AI within EuroHPC. AI/ML-based methods are developing rapidly, and entirely new applications and services are emerging in research fields as diverse as human genomics, protein folding, materials physics, and fluid dynamics, so in this role you will interact with researchers across many exciting scientific disciplines. Your work environment will consist of state-of-the-art computational clusters and distributed data storage systems supporting Sweden's leading researchers. There will also be a strong focus on developing training activities aimed at the optimal use of relevant AI/ML services.

There are three focus areas for the positions: 1) computation, 2) data processing, and 3) education/training:

The focus areas have significant overlap in their components, and the solutions developed require a cohesive and holistic perspective to be successful. The overarching task of an application expert is to help maximise the research outcomes enabled by the available computational and storage resources, as well as to guide researchers in adopting new approaches. The tasks are highly varied and generally follow the needs identified among user groups and by NSC.

The focus areas further include:

• Proactively developing and delivering training activities aligned with the growing demand for AI/ML and distributed GPU workflows.
• Improving the usability and performance of computational resources in various aspects, particularly parallel and distributed training of models for generative AI.
• Developing services to support new workflows, such as those involving sensitive data, container solutions, or collaboration platforms.
• Contributing to outreach activities and targeted workshops for KAW-funded research communities.
• Identifying needs through dialogue with researchers and other user groups.
• Monitoring technology developments and providing expert support in future procurements of technical solutions.
• Collaborating with colleagues, external partners, and researchers in the development of services.
• Assisting research groups with questions and solutions of a primarily technical nature.
• Conducting parallelisation and scaling studies and providing user support related to such activities.
• Optimising data flows from distributed storage systems to computational units.

The person we need

To succeed in the role, the following qualifiacations are required:

• A relevant university degree (MSc/engineering degree) in programming, computer science, or a related field, or equivalent competence acquired in another way.
• Documented strong knowledge of Python and one of the most prominent deep learning frameworks — PyTorch or TensorFlow.
• Experience working with Linux/Unix systems.
• Good command of spoken and written English.

Additional qualifications that strengthen your application include one or more of the following:

• Experience in teaching and developing training activities.
• Experience with distributed (multi-GPU) DNN training using TensorFlow, PyTorch, or another framework, particularly experience with generative AI and multimodal models.
• A PhD in a relevant field.
• Relevant work experience.
• Knowledge of scientific computing as well as computational and data storage infrastructure.
• Ability to work independently and collaboratively with colleagues in different fields.
• Initiative and interest in supporting Swedish research in scientific disciplines that rely heavily on computational resources.
• Experience with additional deep learning frameworks.
• Experience in HPC or related fields such as parallel programming.
• Experience working with sensitive data.
• Experience in project management.
• Experience in programming GPUs with C/C++/CUDA/HIP/OpenACC/OpenMP.
• Ability to read and understand Swedish.

The workplace

The positions are located at Campus Valla at Linköping University in Sweden. You will join a group of application experts with domain expertise in various scientific fields, with a shared primary focus on facilitating the efficient use of NSC's computational resources. The group works closely with NSC's technical experts, which is a key factor in successfully delivering user-oriented services. In this role, you will collaborate with several external parties, such as researchers, research infrastructures, and software developers. Our workplace is characterised by values such as respect, responsibility, and courage. We offer an international and stimulating environment with an open climate where ideas and discussions are encouraged. With us, you will have the opportunity to deepen your technical knowledge and learn from leading experts in the field. You will also have ample opportunities for competence development and will be involved in shaping our future services, both locally and nationally, within an organisation with efficient decision-making in a fast-growing professional field.

More information about NSC can be found at NSC Sweden.

The employment

Permanent position, full-time (100%). A probationary period of six months may apply.

Start date by agreement.

We offer support with work permits and relocation to Sweden if needed.

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

Salary and employment benefits

Linköping University is a Swedish public employer and offers individual salary setting, as well as ample opportunities to combine the employment with an active lifestyle and parenthood.

NSC offers the possibility of remote work for up to 40% of working time.

More information about employee benefits is available here.

Application procedure

Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than 2026-05-29 (CET).

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!

Contact persons

Torben Rasmussen
Applications Expert, Head of Application Environment (AE)
+46 13 28 14 94
torbenr@nsc.liu.se

Xuan Gu
Applications Expert
xuan@nsc.liu.se

Björn Alling
Deputy Director at NSC
+46 735 89 03 32
bjorn.alling@liu.se

Anna Jänis
Head of Division
+46 13 28 57 10
anna.janis@liu.se

Christina Inglisedotter
HR-partner
christina.inglisedotter@liu.se