Detalhes da oferta
Computer Vision and Generative AI ResearcherJob Title: Computer Vision and Generative AI Researcher
Job Ref: AICOS_Jobs_2024_08
Job Type: Full time contract.
Job Location: Porto, Portugal.
Job Description:
Fraunhofer Portugal AICOS is looking for an entry-level researcher to join the Intelligent Systems Group and specialize in Computer Vision and Generative AI for medical image data.
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.
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).
- In-depth knowledge of machine learning pipelines (data collection, data labelling, data preparation, model development, model evaluation, model optimization, model deployment and model monitoring);
- 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.
- 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.
Application Process:
Applications are permanently open until the ideal candidate is selected. A first “cut-off” to evaluate applications day will occur on the 6th of December 2024.
The selected candidate is expected to start working in January 2025.
Applications must be made to the email jobs@fraunhofer.pt and contain:
- CV – mandatory;
- Motivation Letter;
- Recommendation Letters are optional but also welcome.
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.
| Distrito | Porto | ||||
|---|---|---|---|---|---|
| Habilitações mínimas | Curso Superior | ||||
| Experiência mínima | 1-3 anos | ||||
| Idiomas | Proficiency in English | ||||
| Sector de actividade | Engenharia e Serviços Técnicos | ||||
| Tipo de contrato | Full-time | ||||
| Tipo de oferta | Emprego | ||||
| Contactos |
Associação Fraunhofer Portugal Research
Rua Alfredo Allen, 455/461 --135 Porto
|