Associação Fraunhofer Portugal ResearchJob Title: Computer Vision and Generative AI Scientist
Job Ref: AICOS_Jobs_2025_12
Job Type: Full-time contract.
Job Location: Porto, Portugal.
Job Description and Responsibilities:
Fraunhofer Portugal AICOSis seeking a talented Computer Vision and Generative AI Scientist to join our dynamic and multidisciplinary team within the Intelligent Systems group. In this role, you will be at the forefront of technological innovation, working on applied research projects that bridge the gap between cutting-edge research and real-world impact. You will contribute to initiatives that enhance industries, promote social well-being, and improve quality of life. Specifically, you will contribute to the research and development of synthetic data generation methodologies to improve the robustness of Machine Learning (ML) models.
Your role:
- Semantic segmentation and classification by ML:
> Explore and benchmark state-of-the-art semantic segmentation and classification models in medical images;
> Research and develop techniques of data and model auditing, identifying potential gaps or vulnerabilities in Computer Vision, to guarantee the robustness of ML development.
- Synthetic Data Generation and Evaluation:
> Research and develop methods of Generative AI for creating synthetic image data;
> Research and develop improved evaluation frameworks to assess the quality of synthetic data and its suitability for real-world use cases;
> Integrate synthetic data into auditing workflows and develop transparent reporting mechanisms.
- Collaboration and Maintenance:
> Work closely with multidisciplinary teams to integrate synthetic data strategies into existing pipelines and platforms;
> Maintain and refine current codebases, adhering to best practices in software development and reproducible research;
> Contribute to strategic discussions on advancing research directions, staying updated on cutting-edge ML methods related to object segmentation, synthetic data generation and evaluation, and model auditing methodologies.
Your profile:
- Mandatory Requirements:
> Academic Qualifications: Master’s degree or equivalent qualifications in Computer Vision.
- Technical Skills:
> Programming proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow;
> Demonstrated ML background, with relevant hands-on experience in Computer Vision approaches;
> Generative Models: Experience with GANs, VAEs, Diffusion Models, or other generative architectures;
> Evaluation of Synthetic Data: Understanding of metrics and methods to measure fidelity, privacy, and robustness of synthetic dataset.
- Other skills:
> Excellent English communication skills (technical and general audiences);
> Capacity to translate research findings into actionable insights for real-world applications.
We value:
- Experience in semantic segmentation in medical images;
- Experience in generative AI for medical image synthesis;
- Experience with Optical Coherence Tomography (OCT), or retinal imaging;
- Experience or interest in advancing robust ML solutions that maintain performance under diverse and challenging conditions;
- Commitment to clear and honest communication of data and model limitations using established reporting standards and tools;
- A track record (or strong desire) for academic or industrial research, with publications or demonstrable project experience in ML;
- Ability to work effectively in multidisciplinary and cross-functional teams;
- Autonomous, dependable, proactive, and a critical-thinking team player.
Why should you join Fraunhofer Portugal:
- Innovative Environment: Be part of a people-centric workplace that fosters creativity and out-of-the-box thinking. We encourage the development of new ideas and ensure that every voice is heard;
- Research with Impact: Engage in projects that sit at the intersection of research and real-world applications, contributing to technology that makes a tangible difference in society;
- Multidisciplinary Teams: Collaborate with professionals from diverse backgrounds, enhancing your learning and professional growth;
- Professional Excellence: Work within a culture that upholds professional standards and best practices, promoting continuous improvement and excellence in research;
- Flexible Work Arrangements: Benefit from flexible working hours and opportunities to work from home, supporting a healthy work-life balance;
- Comprehensive Benefits: Benefit from a partially funded health insurance plan, and a variety of additional perks;
- Supportive Culture: Join a team with an excellent spirit, where collaboration, mutual support, and team achievements are celebrated.
Application Process:
Applications are open from the 3rd to the 12th of October 2025.
The selected candidate is expected to start working in November 2025.
Applications must be made to the email jobs@fraunhofer.pt and contain:
- Curriculum Vitae – mandatory;
- Motivation Letter – mandatory;
- Qualifications certificate and diploma supplement with transcripts – mandatory or declaration of honor confirming the degree at the beginning of the contract;
- Recommendation Letters – optional.
Selection process:
Admitted candidates will be subject to a curricular evaluation. Based on the results, the top-ranked candidates will be invited for an interview. All applicants will be notified of the results of the call via the email address provided in their application.
After notification, all candidates have 10 days to comment.
Note:
The research activities in the scope of this job opportunity are planned to be developed within the framework of the following projects:
- HfPT – Health from Portugal, with Notice No. 02/C05-i01/2022 and Project Reference No. Projeto nº 41 - NextGenerationEU (PRR) Copromoção;
- NextGenAI – Center for Responsible AI, with Notice No. 01/C05-i01/2021 and Project Reference No. 62 - C645008882-00000055 - NextGenerationEU (PRR) Copromoção.