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Application Experts to MIMER AI Factory, NAISS

LINKÖPINGS UNIVERSITET
CompanyLINKÖPINGS UNIVERSITET
CategoryData & Analytics
LocationLinköping
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted24 Jun 2026
Last verified10 Aug 2026
SourcePublic employment agency (jobtech_sweden)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
We have the power of over 50,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. 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! Do you want to work at the forefront of Europe's AI development and contribute to building the next generation of AI infrastructure? We are now looking for several AI Application Experts who want to contribute to the adoption and application of advanced AI methods across a wide range of domains, including technology and tools, data, life science, materials science, autonomous systems, training, and other emerging application areas. These positions offer a unique opportunity to work with researchers, companies, public-sector organizations, and AI specialists within the EuroHPC AI Factory initiative and to help users transform ideas and data into impactful AI solutions. The position As an AI Application Expert, you will support users and projects in applying AI methods, tools, and workflows to real-world challenges. Depending on your background and interests, you may contribute within one or several application domains. We welcome applicants with expertise in one or more of these domains. Candidates are not expected to cover all areas, and we encourage applications from specialists who can contribute strong expertise within their field. The role combines hands-on technical work, user support, collaboration with domain experts, and participation in the development of AI services and best practices within MIMER and the wider European AI ecosystem. Responsibilities AI Application Support and Expertise Support researchers, companies, and public-sector organizations in the adoption and use of AI technologies Contribute expertise within one or more domains such as life science, materials science, autonomous systems, data science, AI tools, or training Help identify suitable AI methods, workflows, and technologies for specific use cases Project and User Engagement Work directly with users to understand challenges and translate them into AI-enabled solutions Provide guidance on data preparation, model development, evaluation, and deployment Contribute to pilot projects, demonstrations, and proof-of-concept activities Knowledge Sharing and Community Building Develop documentation, tutorials, training material, and examples Participate in workshops, training events, and outreach activities Contribute to building a strong national and European AI community Collaboration and Innovation Collaborate with experts from academia, industry, and the public sector Help identify new opportunities for AI adoption and innovation Contribute to the continuous improvement of MIMER services and support offerings The person we need We are looking for someone who has: A Master's degree in AI, computer science, data science, engineering, life sciences, materials science, applied mathematics, or a related field Practical experience with AI, machine learning, data analytics, or related computational methods Ability to apply technical knowledge to real-world problems Experience working in research, industry, public-sector organizations, or innovation projects Interest in AI technologies and their practical application Ability to work in interdisciplinary and collaborative environments Strong communication skills and ability to engage with different stakeholder groups It is particularly meriting if you have: Experience with modern AI methods such as generative AI, foundation models, or machine learning applications Experience with HPC, cloud computing, data platforms, or scientific computing environments Experience within one or more relevant domains such as life science, materials science, autonomous systems, public-sector AI, or industrial AI Exper