AI engineer position for CVC Interactive Augmented Modelling research group

Reference: 20220117_AI_ENGINEER

About CVC:

The Computer Vision Center (CVC) is a non-profit research center established in 1995 by the Generalitat de Catalunya and the Universitat Autònoma de Barcelona (UAB). Its mission is to carry out cutting-edge research that has the highest international impact in the field of computer vision. It also promotes the transference of knowledge to industry and society.

Computer vision is an exciting research area and an omnipresent technology, essentially empowering machines with the sense of vision. The CVC is a successful marriage between knowledge and innovation. In addition to our cutting-edge scientific achievements, we have established lasting ties with industrial partners and created several spin-off companies.

Research area or group:

Interactive Augmented Modelling research group (http://iam.cvc.uab.es)

Description of the group/project:

Our research is focused on developing mathematical tools, interactive and augmented reality visualization environments. The main application field is biomedical image processing.

The group is a multidisciplinary team (including mathematicians and computer science engineers) specialized in the treatment and analysis of biomedical images. They use graphics techniques and mathematical models for the visualization and modelling of anatomic and biological structures for a better clinical diagnosis. Modelling includes extraction of, both, the geometry (contour segmentation and shape description) and dynamics (tracking of the movement or deformation) of the organ or cell under study. Visualization focuses on the development of virtual environments providing efficient manipulation of the computational model at local and remote (via internet) level.

Context and Mission:

The Interactive Augmented Modelling research group from the Computer Vision Center seeks applications to fill a research engineer position specialized in artificial intelligence methods to be incorporated into the Up4Health1 project funded by the Spanish Government.

The goal of the project is the development of a socio-technological model of the concurrent tasks performed by a driver in a context of low vehicle density, and in scenarios susceptible to events that require immediate attention. The modeling formalism must allow describing the

interactions between the driver and the physical elements of the vehicle, considering the possible assistance implemented with artificial intelligence tools.

The developed models will be used to evaluate the workload of the driver when they attend non-critical events such as attending a hands-free phone call, as well as critical events such as the appearance of a child crossed in front of the vehicle at the same time that the driver attends concurrently to the driving tasks.

The tasks to be carried out by the candidate will focus both on the formalization of the aforementioned driving activities, and on the design of traffic scenarios that will allow conclusions to be drawn about “situational awareness” and workload.

Requirements:

· Degree in Engineering, Mathematics, or similar.

· Experiencie in the development of simulation models with a human operator in the control loop.

· Good online communication and team collaboration skills.

· English fluency.

Conditions:

· The position will be located at Computer Vision Center (Campus Universitat Autònoma de Barcelona, Bellaterra).

· We offer a part-time contract (20 weekly hours), flexible working hours.

· Duration: depending on the evolution of the project

· €714,40 monthly gross salary

· Starting date: February 1st, 2022

Applications Procedure:

Applicants must submit their curriculum vitae through the application online form, indicating offer code: 20220117_AI_ENGINEER

Very important! It is imperative to indicate offer code in the application form. Otherwise, application might not be processed.

Selection Procedure:

1. Pre-selection: determination of compliance with the minimum requirements of the offer.

2. Selection: assessment of the preselected candidates by scoring based on objective criteria.

3. Potentialcandidates will be contactedto set up an interview.

Application Deadline: January 28, 2022

1 This project has received funding from the Ministerio de Ciencia, Innovación y Universidades (MCIU), Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional (FEDER). Project reference: RTI2018-095209-B-C21.