- You have a Master (MSc) degree or PhD in preferably: Applied physics, Chemical engineering or Chemistry, Mechanical Engineering, or related fields.
- During your study or work you have gained experience with machine learning , and have applied it to both numeric and time-series data.
- Experience with development in Python and common machine learning frameworks such as Tensorflow/Keras and/or Pytorch is required. Familiarity with more advanced methods and frameworks related to graph neural networks, transformers, and/or physics-informed machine learning is an advantage.
- You enjoy and have the ability to troubleshoot complex problems in which you are capable to problem-solve on own initiative and together in a team. You have attention for details.
- You will work on a variety of projects in different fields, which contain multiple disciplines that require a broad knowledge base and good communication skills with other experts around you. You identify yourself as a team player and enjoy working in such multi-disciplinary teams.
- An extremely professional, innovative working environment where colleagues are leading experts in their field.
- The opportunity to attend courses, workshops and conferences, and to receive training and coaching based on your needs.
- 33 days annual leave on a full-time basis.
- An employer that values and encourages diverse talent, with initiatives like the Female Leadership Program, our Rainbow Community and round tables on inclusion topics.
- We offer a comprehensive and flexible that also includes full compensation for public transportation for commuting and business travel.
- Great social events with your team and other . That's how you will get to know a lot of people really quickly.
- Flexible working hours, the possibility to work parttime (32 of 36 hours) and the possibility of working from home.
- Access to our .
- Networking opportunities and great activities organized by .
- Extensive for international candidates.
- A good pension scheme.
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Scientist Digital Energy - Rijswijk, Nederland - TNO
Beschrijving
About this position
Climate change, increasing resource scarcity, and environmental issues make the sustainability of our society one of the biggest challenges for the coming decades. The transformation of the energy supply and resource use must and can be accelerated. Add to that the transition to a world assisted by Artificial Intelligence. In this role, you will combine the two transitions.
What will be your role?
As a research scientist digital energy & materials transition you will work on projects applying digitalization and machine learning technologies to challenges in the energy & materials transition. In your work you will develop mathematical and machine learning models, solve optimization problems, and contribute to the development of various software tools . The majority of your work will involve machine learning, where you will use your domain knowledge in physics and process engineering to create trusted and accurate data-driven solutions to different industrial applications in the energy and process industry. Your work will strongly link to the ambition of TNO to contribute to the energy and materials transition.
For more information about the department Heat Transfer & Fluid Dynamics and our projects, look at our .
What we expect from you
In your role as a research scientist you can identify yourself in the following profile:
What you'll get in return
Challenging and varied work with a real impact. And plenty of opportunities as, at TNO, you are in charge of shaping your career. We offer a gross monthly salary between € 3.,- and € 4.,- (based on your knowledge and experience), 8% holiday pay, a 13th month bonus of 8.33% and a flex budget (5.58% + € ). In addition, you will be given every opportunity to develop yourself.
Perhaps you would like to grow your career in the direction of commerce or consultancy? Or would you like to become a project manager? Immerse yourself in sustainable innovations? Or carve out a career as a technical expert?
TNO offers optional employee benefits, enabling you to tailor your benefits package to match your personal situation. You may also expect:
Read about tailoring your benefits package.