Offer summary

Qualifications:

Degree in Computer Science, Electrical Engineering, or a related technical field., Strong programming experience with Python and common ML libraries like PyTorch and TensorFlow., Familiarity with computer vision, image/video processing, and neural network architectures such as GANs., Proficient in English, with German as a plus. .

Key responsabilities:

Assess the feasibility of EO-to-IR video conversion using existing computer vision models.

Develop a Python-based prototype for generating synthetic IR videos from visible-spectrum data.

Evaluate and document model performance based on qualitative and quantitative criteria.

Work independently with a solution-oriented mindset to solve complex problems.

Since 1997 ETH juniors has been building a major bridge between university and industry.ETH juniors unites outsourcing, project management, as well as a platform for recruiting and event marketing. We build a bridge between theory and practice, between university and industry. ETH juniors is the junior enterprise of ETH Zurich and is ranked among the top three of 200 junior enterprises in Europe. Led by motivated students, ETH juniors conducts projects for companies, analyses various sets of problems and develops creative solutions. ETH juniors carries out tasks for national SMEs as well as international enterprises, which require additional employees within a short period of time or are in need of some particular knowledge. Thus, new ideas are generated and integrated from a new, unbiased point of view.As a link between university and industry, ETH juniors brings interested students closer to your company while at the same time promoting your enterprise at ETH – a win-win-situation.

Job description

This is a remote position.

Are you passionate about computer vision and synthetic data generation? We’re looking for a driven analyst to explore the cutting-edge of EO-to-IR video conversion and help develop a working proof of concept for automated dataset generation.

Assess the feasibility of EO-to-IR video conversion using existing computer vision models
Develop a Python-based prototype for generating synthetic IR videos from visible-spectrum data
Evaluate and document model performance based on qualitative and quantitative criteria

Details:

Start: mid April 2025
Duration: 3-5 months
Workload: 40–60%
Location: Remote or Zurich area
Salary: 40 CHF/h

Requirements

Degree in Computer Science, Electrical Engineering, or a related technical field
Strong programming experience with Python and common ML libraries (e.g., PyTorch, TensorFlow)
Familiarity with computer vision, image/video processing, and neural network architectures (e.g., GANs)
Experience with Linux/macOS development environments and handling datasets of varying formats
Proficient in English (working language); German is a plus
Independent, solution-oriented mindset with strong analytical and problem-solving skills