Computer Vision and Generative AI Scientist | Intelligent Systems Team
Job Ref: AICOS_Jobs_2025_13
Job Type: Full-time contract
Location: Porto, Portugal
Job Description and Responsibilities
Fraunhofer Portugal AICOS seeks a talented Computer Vision and Generative AI Scientist to join the Intelligent Systems group. The role focuses on applied research bridging cutting‑edge science and real‑world impact, advancing synthetic data generation, model auditing, and domain‑specific adaptation.
Responsibilities
* Synthetic Data Generation – research and develop controllable synthetic image generation methods (image/text conditioning) and evaluate high‑quality synthetic data.
* Few‑Shot Adaptation – explore strategies for adapting general‑purpose CV‑GenAI models to specialized domains (e.g., agriculture, health).
* Data & Model Auditing – evaluate synthetic and real data quality, audit model performance, and integrate synthetic data into auditing workflows.
* Collaboration & Maintenance – integrate synthetic data strategies into existing pipelines, maintain codebases, and contribute to strategic discussions on research directions.
Your Profile and Qualifications
* Academic – Master’s degree or equivalent in Biomedical Engineering (or related field).
* Technical – Python programming, experience with PyTorch/TensorFlow, generative models (diffusion, GAN, VAE), and metrics for synthetic data fidelity, privacy, and robustness.
* Communication – excellent English proficiency, ability to translate research findings into actionable insights.
We Value
* Experience in Computer Vision, CV‑GenAI, and data auditing.
* Robust ML solutions maintaining performance under diverse conditions.
* Clear communication of data/model limitations with established reporting standards.
* Track record or strong desire for research (publications, projects).
* Effective cross‑functional teamwork and autonomous proactive mindset.
Benefits
* Innovative, people‑centric workplace fostering creativity.
* Impactful research at the intersection of academia and industry.
* Multidisciplinary teams and continuous professional growth.
* Professional standards and ethical research culture.
* Flexible working hours and home‑office options.
* Partially funded health insurance and additional perks.
* Supportive culture celebrating collaboration and achievements.
Application Process
Applications open from 15th to 24th October 2025. Selected candidates expected to start November 2025.
Send CV, motivation letter, degree certificate/diploma supplement, and transcripts to jobs@fraunhofer.pt. Recommendation letters optional.
Selection Process
Curricular evaluation followed by interviews for top‑ranked candidates. All applicants notified via email.
Note
The research activities will be developed within the following projects:
* AgriPestForge – Controllable Generative AI Engine for agricultural pest detection (Notice No. MPr‑2023‑12, Project Ref No. 17029).
* EyesOnTraps2Market – Scalable AI‑based mobile solution for agricultural pest detection (Notice No. MPr‑2024‑9).
* VineKeeper – Intelligent identification and digital curation of Portuguese wine heritage (Notice No. MPr‑2025‑04).
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