Computer Vision and Generative AI Researcher

Center for Responsible; Porto; Hybrid; EUR 42,000 - 64,000; Full time

Benefits offered by this job

Private health insurance

Flexible working hours

Work from home

Job summary

Fraunhofer Portugal is seeking a Computer Vision and Generative AI Researcher to join a team at the forefront of AI innovation. You will work on medical image data with emphasis on vision models, generative AI strategies, and auditing data quality, delivering reproducible reports and documentation.

The role requires a Master's degree in relevant engineering or computing fields, strong Python skills, experience with ML frameworks, and excellent English communication.

Qualifications

• Master’s degree in Biomedical Engineering, Informatics and Computing Engineering, Electrical and Computer Engineering, or related studies.
• Excellent Python programming skills and experience with ML frameworks (e.g., Sklearn, TensorFlow, Keras, PyTorch).
• Demonstrated ML background with hands-on CV experience for medical image data.
• Excellent communication skills in English (technical and business audiences).

Responsibilities

• Research and develop computer vision models for object detection, anomaly detection and semantic segmentation on medical image data.
• Research and develop generative AI strategies for medical image data.
• Research and implement approaches for auditing quality of real and synthetic medical image data.
• Deliver summarized reports and proper software documentation.

Skills

Python

ML frameworks

English communication

Education

Master’s degree

Tools

REST APIs

Docker

Job description

Computer Vision and Generative AI Researcher

As a researcher at AICOS you will work at the forefront of AI innovation, creating purposeful technologies that positively transform industries, promoting, social well-being and improving quality of life.

Your role:

• Research and develop computer vision models for object detection, anomaly detection and semantic segmentation for medical image data;
• Research and develop generative AI strategies for medical image data;
• Research and implement computational approaches for auditing the quality of real and synthetic medical image data;
• Deliver summarized reports about the developed models and provide proper software documentation.

Your profile:

Academic Master’s degree or equivalent academic qualifications in the area of Biomedical Engineering, Informatics and Computing Engineering, Electrical and Computer Engineering, or related studies.

• Excellent Python programming skills and experience in programming with widespread ML Frameworks (e.g., Sklearn, TensorFlow, Keras, PyTorch);
• Demonstrated Machine Learning background, with relevant hands-on experience in computer vision approaches for medical image data;
• Excellent communication skills in English (technical and business audiences).

We value:

• Experience with productization technologies such as (REST) APIs and Docker containers;
• Ability to work with cross-functional teams;
• Autonomous, dependable, and enthusiast team-player;
• Problem-solving, proactive, and critical-thinking attitude.

Why should you join Fraunhofer Portugal:

• People-centric work environment that encourages creativity and the development of new ideas, in which personal and career development go hand in hand;
• Opportunity to contribute to stimulating national and international projects spanning through different innovation topics and application areas;
• Boost your technical growth;
• Make a difference in creating AI solutions that generate value and impact;
• Flexible working hours and opportunities to work from home;
• Excellent conditions of employment including attractive salary (depending on the academic degree and professional experience), private health insurance plan, access to entrepreneurship programmes.

Operating at the interface between science, research and industry, Fraunhofer Portugal offers a broad spectrum of professional opportunities and a working environment that encourages creativity and the development of new ideas, in which personal and career development go hand in hand.

Observation:

The research activities in the scope of this job opportunity are planned to be developed within the framework of projects:

• AISym4Med – Synthetic and Scalable Data Platform for Medical Empowered AI, with Notice HORIZON-HLTH-2022-IND-13-02 and Project Reference 101095387;
• HfPT – Health From Portugal, with Notice No. 01/C05-i01/2021 and Project Reference Projeto nº 41.