Internship | AI/Computer vision/LLM internship for Energy Renovation
About this position
What will be your role?
As a data scientist, you will work on the development of a set of features describing the inside of a housing, which are now missing but are crucial to improve the performance of the Clustertool. These features will be derived from documents containing pictures of the housings, blueprints and text descriptions.
We have already successfully deployed the Clustertool in production; and it has proven to predict the renovation potential of houses in the first use-cases. So far, we use features coming or derived from open data sources, and we experiment on image-based features to improve the performance of the classifiers.
You would contribute to our developments by applying Computer Vision models and LLMs on aforementioned documents. During the internship you would have to explore various topics such as:
- Analyze the data at disposal: coverage, quality, etc.
- Process free format text descriptions of housings into tabular data using LLMs.
- Design Computer Vision pipelines to retrieve information of interest from images and blueprints of housings. Convolutional Neural Network, Visual Transformers or Multi Modal LLMs could be used.
We would focus on features which are relevant for the applicability of heat pump installation and heat recovery ventilation. Qualitative new features would then be added to the current ones. Our innovative approach can only be successful with an optimally functioning and scalable Clustertool. In this way, you will make a lasting impact on the Dutch fossil-free renovation strategy.
With your expertise in machine learning and software engineering, you will strengthen our team of 30 experts in the field of digitalization in construction. You can learn a lot from your colleagues, for example in the field of computer vision, data science, machine learning and software development, along with gaining insight into the various aspects of digitizing and automating the built environment.
What we expect from you
What else you need to bring:
- Be enrolled in a master program in Artificial Intelligence, Data Science or related.
- Experience with Python and common data science libraries.
- Experience in Computer Vision is a plus.
- Experience in LLMs is a plus.
- English language skills at B2 level or above. Dutch language is a plus.
What you’ll get in return
- A highly professional, innovative internship environment, within a team of top experts.
- A suitable internship allowance (615 euro for wo-, hbo- and mbo-students, for a full-time internship).
- Possibility of eight hours of free leave per internship month (for a full-time internship).
- A free membership of Jong TNO, where you can meet other TNO professionals and join several activities, such as sports activities, (work-related) courses or the yearly ski-trip.
- Use of a laptop.
- An allowance for travel expenses in case you don’t receive an OV-card.
TNO as an employer
At TNO we encourage an inclusive work environment, where you can be yourself. Whatever your story and whatever unique qualities you bring to the table. It is by combining our unique strengths and perspectives that we are able to develop innovations that make a real difference in society. Want to know more? Read what steps we are taking in the area of diversity, equity and inclusion.
The selection process
For this internship vacancy it is required that the AIVD issues a security clearance (VGB) after conducting a security screening. Take into account that this process may take about 8 weeks. If you have been abroad for more than 6 consecutive months, or if you do not have the Dutch nationality, it may take longer. Read more about security screening
on the AIVD website.
Important to be aware of before applying:
- Before the start of the internship, the internship agreement from TNO needs to be signed. For students at a college or university based in the Netherlands, TNO uses the UNL-template
(opens in a new window or tab) (refers to a different website)
(supplemented with a number of specific agreements from TNO). For students of foreign and MBO educational institutions, the TNO internship agreement applies. TNO does not sign any other internship agreements.
- Before the start of the internship, the educational institution will need to confirm in writing that:
- 1) you are enrolled at the educational institution during the internship, and;
- 2) the internship takes place as part of the programme of the study.
- The confirmation of educational institution takes place by signing the UNL template or forms prepared by TNO.
- Interns at TNO must be in possession of a Dutch residential address at the start of the internship. Performance of internship activities from abroad is not possible.
