Junior research engineer position in computer vision and deep learning at the Technologies of Vision research laboratory in FBK

The Digital Industry (DI) Center, one of the Centers of the Bruno Kessler Foundation, focuses

its research on digital technologies for the manufacturing industry by creating applications for

critical systems, adaptive and autonomous systems, advanced perception, diagnostics and

prediction systems. The research in the DI Centre also involves fields related to digital

agriculture, cultural heritage and geomatics.

The Technologies of Vision (TeV) Research Unit conducts research in the field of Computer

Vision, Image Analysis and Machine Learning. TeV’s focus is on the development of image and

scene understanding techniques for Monitoring and Video Analytics, Semantic Annotation and

Retrieval, Machine vision, Geometric deep learning, Object segmentation and classification,

Event and action recognition, Computer vision for extended reality. Some specific research

applications include scene understanding and human activity recognition for robot-human

collaborative environments. More information about the TeV lab is available at: https://tev.fbk.eu.

FBK actively seeks diversity and inclusion in the workplace and is also committed to promoting

gender equality.

Job Description

The successful candidate is expected to conduct research activities in the area of visual scene

understanding, primarily on object detection and segmentation, vision-language foundation

models, object tracking, 3D data processing. Following the recent evolution in the field, the

research will focus on applying image/video based deep learning techniques to challenging

practical automatic recognition problems. The successful candidate will be involved in both

industrial and European projects, which include Fortis, AI-MATTERS, and AgrifoodTEF.

Job requirements

● Master in Computer Science, Mathematics, Engineering, or related fields (the degrees

must be obtained by the start date of the FBK contract);

● Solid skills in deep learning for computer vision

● Experience (at least 1 year) in computer vision and deep learning;

● Ability to work and deliver in funded research projects;

● Knowledge of GNU-Linux operating systems, Python and C/C++ programming

languages, and PyTorch environment for deep learning applications;

● Oral and written proficiency in English;

● Self-driven character and ability to work in a collaborative environment, with a strong

commitment to achieve assigned objectives and to realize practical applications;

● teamwork approach, good communication and relational skills;

● Problem solving.

Employment

Type of contract: fixed-term contract

Working hours: full-time (38 hours per week)

Start date: preferably May 2024

Duration: 12 months (with possibility to extend the contract depending on funding)

Gross annual salary: about € 36.200

Workplace: Povo, Trento (Italy)

Benefits: flexi-time, company subsidized cafeteria or meal vouchers, internal car park, welcome

office support for visa formalities, accommodation, social security (SANIFONDS), family-work

balance, free training courses, support on bank account opening, discount on public transport,

sport, language course fees. More info at https://www.fbk.eu/en/work-with-us/ .

Application

Interested candidates are requested to submit their application by completing the online form

(https://hr.fbk.eu/en/jobs). Please make sure that your application contains the following

attachments (in pdf format):

● Detailed CV including publication list;

● Statement of research interests with description of one relevant research project;

● Two references (e-mails and phone numbers).

Application deadline: March 27, 2024

Please read our Regulations on the recruitment and selection of fixed-term personnel (effective

from October 15, 2018) before completing your application.

For further information, please contact Human Resources Services at jobs@fbk.eu.