Computer Vision and Generative AI Scientist | Intelligent Systems Team (Job Ref.: AICOS_Jobs_20[...] Porto

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‑Gen
  AI 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 Py
  Torch/Tensor
  Flow, 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‑Gen
  AI, 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:

• Agri
  Pest
  Forge – Controllable Generative AI Engine for agricultural pest detection (Notice No. MPr‑2023‑12, Project Ref No. 17029).
• Eyes
  On
  Traps2Market – Scalable AI‑based mobile solution for agricultural pest detection (Notice No. MPr‑2024‑9).
• Vine
  Keeper – Intelligent identification and digital curation of Portuguese wine heritage (Notice No. MPr‑2025‑04).