INESC TEC is accepting applications for 1 job(s) in the AI/Robotics (AE2024-0082)

23 Feb 2024
Job Information

Organisation/Company

INESC TEC

Research Field

Engineering » Electrical engineering

Researcher Profile

First Stage Researcher (R1)

Country

Portugal

Application Deadline

7 Mar 2024 - 23:59 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

36

Offer Starting Date

1 Apr 2024

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

AE2024-0082

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2024-0082.pdf
CALL FOR APPLICATIONS: RESEARCHER
Job/position/grant:

Job reference: AE2024-0082 (NewSpacePortugal-CRAS)
INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência
Job/position/grant: RESEARCHER
City: Porto
Research field: Main: ENGINEERING
Sub: Electrical engineering

Job summary:

INESC TEC is accepting applications for 1 RESEARCHER job in the AI/Robotics
Agenda New Space Portugal
Scientific Advisor: Hugo Miguel Silva
Start Date: from 2024-04-01 to 2025-03-31
Location: INESC TEC, Porto, Portugal

Job description:

Work Area: AI/Robotics
Project overview: Development of ML and DL algorithms for satellite information/data compression and image pre-processing. Carry out validation tests of the respective algorithms on dedicated hardware and publish the results obtained.
Objectives: The scope of the NEWSPACE project aims to develop a new constellation of VHR satellites, which will operate over the Atlantic, where it is necessary to develop innovative algorithms to reduce the amount of information to be sent to land.

Academic Qualifications: Master's degree in electrical engineering, computer science, bioengineering, or a related field.
Minimum profile required: Master's degree
Preference factors: - Over 3 years of experience in ML/DL; ;
- Experience in developing machine learning algorithms;;
- Deep learning applied to satellite or drone information;;
- Implementation of ML/DL algorithms in embedded systems e.g. Jetson.

Funding Entity: NewSpacePortugal funded by IAPMEI with reference 11 Co-financed by Component 5 - Capitalization and Business Innovation, integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR) of the European Union (EU), framed in the Next Generation EU, for the period 2021 - 2026.
Type of contract: Uncertain term contract
The hiring shall be governed by what is stipulated in the legislation in force regarding fixed individual employment contracts and by INESC TEC norms.

Selection criteria: The selection of the candidates will be based on the following criteria, in descending order of consideration:
a) Relevant Curriculum in the concerned field of this tender
b) Proven experience.
DISABILITY INCENTIVE

Candidates who present a degree of disability equal to or greater than 90% will benefit from an incentive (20) in the score of the CV Assessment.
Candidates who present a degree of disability equal to or greater than 60% and less than 90% will also benefit from an incentive (10) in the score of the CV Assessment.
Said score may, in these cases, exceed 100 points.
Candidates must demonstrate the degree of disability during the application, namely through the submission of the Multi-Purpose Medical Certificate of Disability, issued in accordance with Decree-Law no. 202/96, of October 23 - currently in effect.

Selection Jury: President of the Jury: Hugo Miguel Silva
Member: André Dias
Member: Diana Viegas
Notification of results: The results of the selection process will be sent to the interested by electronic mail.
Application period: From 2024-02-23 to 2024-03-07.
Application submission: Electronic form filling in www.inesctec.pt in the section Work with Us.

Requirements

Research Field

Engineering

Education Level

Master Degree or equivalent

Specific Requirements

Academic qualifications: Master's degree in electrical engineering, computer science, bioengineering, or a related field.
Minimum profile: Master's degree.
Preference factors: - Over 3 years of experience in ML/DL; ;
- Experience in developing machine learning algorithms;;
- Deep learning applied to satellite or drone information;;
- Implementation of ML/DL algorithms in embedded systems e.g. Jetson.

Research Field

Engineering » Electrical engineering

Years of Research Experience

None

Additional Information
Selection process

Selection criteria: The selection of the candidates will be based on the following criteria, in descending order of consideration:
a) Relevant Curriculum in the concerned field of this tender
b) Proven experience.
DISABILITY INCENTIVE

Candidates who present a degree of disability equal to or greater than 90% will benefit from an incentive (20) in the score of the CV Assessment.
Candidates who present a degree of disability equal to or greater than 60% and less than 90% will also benefit from an incentive (10) in the score of the CV Assessment.
Said score may, in these cases, exceed 100 points.
Candidates must demonstrate the degree of disability during the application, namely through the submission of the Multi-Purpose Medical Certificate of Disability, issued in accordance with Decree-Law no. 202/96, of October 23 - currently in effect.

Selection Jury: President of the Jury: Hugo Miguel Silva
Member: André Dias
Member: Diana Viegas
Notification of results: The results of the selection process will be sent to the interested by electronic mail.
Application period: From 2024-02-23 to 2024-03-07.
Application submission: Electronic form filling in www.inesctec.pt in the section Work with Us.

Website for additional job details

https://www.inesctec.pt/en/opportunity/AE2024-0082

Work Location(s)

Number of offers available

1

Company/Institute

INESC TEC

Country

Portugal

City

Porto

Postal Code

4200-465

Street

Campus da Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias

Where to apply

Website

https://www.inesctec.pt/en/opportunity/AE2024-0082

Contact

City

Porto

Website

http://www.inesctec.pt

Street

Campus da FEUP - Rua Dr. Roberto Frias

Postal Code

4200-465 Porto

STATUS: EXPIRED