Junior Researcher (MSc) and Researcher (PhD) within Analytics and AI

We are looking for a Junior Research Scientist, and a Research Scientist, to join us in creating "Technology for a better society".

About us

Together with our industry partners, we deliver applied research to uncover new knowledge and solutions that contribute to sustainable value creation, improved resource utilization and new market opportunities.

• The Analytics and AI group
  is currently counting 11 researchers and 2 PhD students. We do research and development of methods for application of AI and machine learning in industrial systems. In particular, we specialise in:
• The combination of machine learning and other system information, such as mathematical models.
• The combination of machine learning and optimization/planning, including reinforcement learning and model predictive control.
• Machine learning for dynamic systems such as state estimation, anomaly detection, and predictive maintenance.
• Industrial application of machine learning. Some examples of applications are the development of automated warehouse robots, decision support in wastewater treatment, hybrid models of wind turbines, and improved coordination of road construction machinery.

As a researcher in our group, you will join a dynamic team of talented and creative colleagues with a passion for technology. We actively collaborate with both academic environments and industrial end users. The group has a central role in two of the new Norwegian AI research centers: Norwegian Center on AI for Decisions, and Trust, as well as SFI NorwAI.

Who are you?
Requirements

• You hold a MSc (junior research scientist) orPhD (research scientist) in computer science, statistics, computational physics, control engineering, mathematical optimization, industrial math, or equivalent academic qualifications.
  • To pursue a PhD at SINTEF, you must have a strong academic record, with an average Master's grade of B or better (equivalent to the Norwegian grading scale), and satisfy the relevant PhD admission requirements.
• You have documented experience with

at least three of the following
:

• Agentic AI and agentic programming.
• Modelling physical or industrial systems.
• Control systems and model predictive control.
• Statistical inference and uncertainty quantification of AI models.
• Machine learning on sensor data and multi-modal data.
• Industrial deployment machine learning or agentic AI in operational systems.
• You have documented experience with programming, preferably in Python, and familiarity with machine learning and data science frameworks like PyTorch, JAX, Hydra, MLflow, and pandas or similar alternatives.

The position may involve access to information classified as RESTRICTED (BEGRENSET) under the Norwegian Security Act (sikkerhetsloven). Where such access is required, appointment may be conditional upon the candidate being eligible for security authorisation (sikkerhetsautorisasjon) in accordance with the Act.

Additional selection criteria

• Experience in working with client-based projects and comfortable with project management, planning, coordination and meeting deadlines.
• Experience within experimental quantum physics.
• Proficiency in Scandinavian languages.

Your responsibilities
At SINTEF, you will be part of a leading research environment on industrially applied machine learning and work together with both small and large Norwegian companies. You will have the opportunity to make a real impact by researching and deploying the latest in AI for decision systems, as well as contributing to publications in leading conferences and journals.

You have a solid understanding of core concepts in machine learning, keep up to date with state-of-the-art, and you are excited about innovative ways to apply them in the real world. You are expected to participate in all stages of projects, from idea and funding application to results and documentation. An important part of the role will be developing new projects in close collaboration with partners, and you will be expected to follow SINTEFs project management training and take responsibility for some of the group’s projects.

SINTEF is a high-performance workplace that places high standards on the conducted work.

In addition to technical-scientific competence, we are seeking candidates who:

• Enjoy complicated challenges.
• Have demonstrated ability in complex problem solving.
• Is excited about new technology and love learning and sharing knowledge with colleagues.
• Enjoy working in teams and communicate well with clients.
• Have strong communication skills in English (proficiency in Scandinavian languages is an advantage but not compulsory).

What we offer

• Challenging and applied research tasks with real-life applications.
• A dynamic and innovative environment.
• Opportunities to collaborate with other research groups across SINTEF and many application areas and industries.
• The opportunity to develop yourself professionally and personally in a recognized and competent research environment. This includes the possibility to combine research with PhD studies.
• A high degree of autonomy and flexible working hours.
• Competitive salary.
• Social benefits such as pension plan, insurance, possibility for kindergarten, etc.
• Being a part of one of Northern Europe’s largest institutes for applied research, national and international scientific and industrial networks.

What you need to do
Submit your CV, cover letter and transcript of grades. Please do NOT submit master thesis or anything else.

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At SINTEF, we develop technology for a better society, and we know that the best solutions are created when people with diverse perspectives work together. We are committed to fostering a work environment characterized by diversity, inclusion, and mutual respect, and we actively work to create, maintain, and further develop an inclusive workplace. We accommodate employees with diverse needs and encourage all qualified candidates to apply, regardless of their background, experience, disability, or life situation.

Application deadline: Apply no later than 4. November 2026

Lokation: Oslo