Organisation/Company CiTin - Associação Centro de Interface Tecnológico Industrial Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Positions Bachelor Positions Country Portugal Application Deadline 16 Dec 2024 - 18:17 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description Computer Vision - R&D Engineer
[Bachelor's or Master's Degree (m/f)]
Job Description
Develop and implement computer vision solutions to improve production and inspection processes;
Conduct applied research within R&D projects aligned with the laboratory's technology roadmap;
Actively collaborate in the production of scientific papers, registration of patents , as well as reporting on the progress of R&D activities;
Assist in managing laboratory infrastructure, including work tools and laboratory equipment;
Participate in technical and scientific training activities in the context of projects and partnerships established by CiTin in the context of its mission;
Ability to work as part of a team and independently, contributing to an innovative and dynamic environment;
Exhibit good communication and organizational skills.
Ideal Profile
We are seeking professionals with experience in R&D projects, particularly in developing and integrating new technologies aligned with Industry 4.0/5.0 paradigms and designing innovative systems for the factory of the future , such as manufacturing and logistics. The ideal candidate will have the following qualifications:
Bachelor's or Master's degree in Computer Engineering , Electrical Engineering , Telecommunications Engineering , Network Engineering , Mechatronics Engineering , or related fields. Experience in the following areas is highly valued: Development of computer vision solutions;
Image processing, video analysis, and pattern recognition techniques;
Knowledge of Machine Learning applied to computer vision;
Familiarity with Industry 4.0/5.0 technologies and concepts;
Professional experience in R&D activities, either in industry or academia;
Proficiency in C/C++, Python, OpenCV, TensorFlow, PyTorch, MediaPipe, or similar frameworks
Scientific publications in fields such as Computer Vision, Image Processing, Artificial Intelligence, Computer Engineering, Network Engineering, Production Engineering, Mechatronics Engineering, Industrial Automation Engineering, or Industrial Maintenance Engineering (preferred);
Proficiency in English;
Strong interpersonal skills, communication ability, responsibility, and a proactive approach in the workplace.
This is an innovation-driven role, so a resilient, dynamic, proactive, and ambitious spirit is essential.
A great opportunity for your professional development.
We offer remuneration based on the presented CV.
Please send your CV to ****** with the reference of this announcement in the subject field.
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