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

18 Mar 2024
Job Information

Organisation/Company

SINTEF

Department

Digital

Research Field

Computer science
All

Researcher Profile

First Stage Researcher (R1)
Recognised Researcher (R2)
Established Researcher (R3)
Leading Researcher (R4)

Country

Norway

Application Deadline

9 Apr 2024 - 23:59 (Europe/Oslo)

Type of Contract

Permanent

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

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.

 

Requirements

Research Field

All

Education Level

Master Degree or equivalent

Skills/Qualifications

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.

 

Languages

ENGLISH

Level

Excellent

Research Field

All

Additional Information
Benefits

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.

 

Website for additional job details

https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1131&ProjectId=145545…

Work Location(s)

Number of offers available

1

Company/Institute

SINTEF Digital

Country

Norway

City

Oslo

Geofield

Where to apply

Website

https://candidate.hr-manager.net/ApplicationForm/SinglePageApplicationForm.aspx…

Contact

State/Province

Norway

City

Oslo

Website

http://www.sintef.com

E-Mail

[email protected]

Phone

+4741184810

STATUS: EXPIRED