Lab TechnicianApplications Closed
N/A
Genoa, Via Enrico Melen 83
Apply by Nov 21, 2023
Application deadline
Nov 21, 2023
Job
Job location
N/A
Genoa, Via Enrico Melen 83
Geocoding in progress.
Source: legacy
Quick Information
Application Deadline
Nov 21, 2023
Start Date
Flexible
Education Required
See description
Experience Level
Not specified
Job
Job location
N/A
Job Description
You will be working in the Pattern Analysis and Computer vision (PAVIS) Research Line, a multi-disciplinary and multi-cultural group where people with different backgrounds collaborate, each with their own expertise, to carry out the research on Computer Vision and Artificial Intelligence. PAVIS research line is coordinated by Dr. Alessio Del Bue. Within the team, your main responsibilities will be: Hardware and software prototyping of computational systems based on Computer Vision and Machine Learning technology; Support PAVIS facility maintenance and organization; Support PAVIS Technology Transfer initiatives (external projects); Support PAVIS researcher activities; Support PAVIS operations (procurement, ICT services, troubleshooting, data management, logistics, equipment management and maintenance).
Requirements
- A master or bachelor degree in Computer Science
- Engineering or a similar discipline. Documented experience in Computer Programming using Python and Computer Vision. Documented experience of Windows and Linux programming and managing tools. Good knowledge of the English language. A cooperative approach. Accuracy and good analytical skills. Experience with Machine Learning and Deep Learning models (e.g. Pytorch
- Tensorflow
- CUDA). Experience with modern software development tools and technologies (CI/CD
- test driven development
- Git
- microservices
- Docker
- MQTT
- DevOps). Working experience in the public or private research sector. Experience developing software for interfacing sensors (cameras
- PTZ
- RGBD sensors
- thermocameras) or GPUs. Experience in managing computer networks and network programming. Good communication skills. Strong problem solving attitude. High motivation to learn. Spirit of innovation and creativity. Good in time and priority management. Ability to work in a challenging and international environment. Ability to work independently and collaboratively in a highly interdisciplinary and multicultural environment.
Job
Job location
N/A
Coordinates pending.