Junior researcher - Analytics and AI group

Deadline: 09.04.2024


SINTEF er et av Europas største forskningsinstitutt, med flerfaglig spisskompetanse innenfor teknologi, naturvitenskap og samfunnsvitenskap. SINTEF er en uavhengig stiftelse som siden 1950 har skapt innovasjon gjennom utviklings- og forskningsoppdrag for næringsliv og offentlig sektor i inn- og utland. SINTEF har 2100 medarbeidere fra 80 nasjoner og en årlig omsetning på over tre milliarder kroner. 

Vår visjon: Teknologi for et bedre samfunn 

Les mer om SINTEF her.

Analytics and AI group at SINTEF Digital is seeking a junior researcher

We are looking for a junior researcher to join us in creating "Technology for a better society".

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 10 researchers and 3 PhD students. We are now looking to expand the team further. As a researcher in our group, you will join a dynamic team of young, talented, and creative colleagues.

The group specialises in applied research within the following areas:

  • Hybrid AI: 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.
  • 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.

In particular, we are looking for early career researchers with experience in cybernetics and control theory combined with an interest in and talent for machine learning development. The ideal candidate is well experienced in programming, as well as familiar with software development in teams.

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 learning-based control engineering, as well as contributing to publications in leading conferences and journals. You have a solid understanding of core concepts in cybernetics and 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.

Who are you?

  • You hold a master in cybernetics, control engineering, robotics, computer science, or similar.
  • You enjoy complicated challenges and have demonstrated ability in complex problem solving.
  • You love learning and sharing your knowledge with your colleagues.
  • You have some experience with machine learning techniques such as reinforcement learning, deep neural networks, probabilistic machine learning, time-series analysis, etc.
  • You have solid knowledge of Python and some knowledge of machine learning and data science frameworks (e.g. TensorFlow, PyTorch, scikit-learn, NumPy, pandas).
  • You enjoy working in teams and communicate well with customers.
  • You may have experience from industry.
  • You have the ability to plan, coordinate resources and meet deadlines.

What we offer

  • Challenging and applied research tasks with real-life applications
  • Dynamic, young, and innovative environment
  • Opportunity for pursuing a PhD as part of the employment
  • Opportunities to collaborate with other research groups across SINTEF and many application areas and industries
  • Well-established national and international scientific and industrial networks
  • A high degree of autonomy and flexible working hours
  • Competitive salary
  • Social benefits as pension plan, insurance, possibility for kindergarten, etc.

What you need to do

Submit your CV, cover letter and transcript of grades.

Apply for position


Powered by Labrador CMS