Institute for Renewable Energy

Short description of the position:

Are you passionate about the decarbonisation of buildings? Are you curious about how computer vision and deep learning can be used to analyse and promote energy efficiency in buildings? If so, you could be a great fit as an intern with the Energy Efficient Buildings group at Eurac Research

The duration of the internship is at least 4 months and up to 6 months (to be agreed upon with the candidate).

Tasks:

- Annotate images used to train deep learning models for façade parsing.
- Collect 360-degree images for a pilot study in Bolzano – by foot or by bicycle.
- Support the development and enhancement of the in-house image annotation tool.
- Support the training and deployment of deep learning models for façade parsing

Requirements:





- Bachelor’s or Master’s degree in architecture, urban planning, engineering, or computer science preferred. Candidates with other educational backgrounds with a strong interest may also apply.
- Experience with CAD or BIM is preferred but not required.
- Fluency in spoken and written English. Italian and/or German is a premio.
- Experience working in a research setting is a bonus.

We offer:

- A supportive, international, and interdisciplinary research environment.
- Access to professional development and training opportunities.
- An attractive workplace in a highly cyclable city offering excellent access to outdoor and mountain activities.

📌 Internship in Data Annotation and Training for Deep Learning (Bolzano)
🏢 Eurac Research
📍 Bolzano