Two R&D Research Grants (BI)

Offer Description

Two R&D Research Grants (BI) within the framework of the CRIARTE project – Ref. COMPETE2030-FEDER-01192200 - 17402, co-financed by Portugal 2030 through the European Regional Development Fund (ERDF), under the Thematic Programme for Innovation and Digital Transition – Compete 2030.

The grant is intended for the implementation and development of the following activities:

1. Sensor Integration and Robotic Perception

• Knowledge of sensor fusion and sensor calibration;
• Experience with LiDAR, RGB-D/multimodal cameras, GNSS, IMU, UWB and IoT sensors;
• Proficiency in ROS/ROS2 (Robot Operating System) and middleware for data integration;
• Knowledge of temporal and spatial synchronization of sensors and extrinsic/intrinsic calibration.

2. Computer Vision and 3D Pose Estimation

• Knowledge of computer vision and machine learning applied to pose estimation and visual servoing;
• Experience with OpenCV, PCL (Point Cloud Library), PyTorch/TensorFlow, and 3D frameworks (COLMAP, Open3D);
• Ability to develop object detection and tracking algorithms, 3D reconstruction and SLAM.

3. Advanced Control and Intelligent Robotics

• Solid knowledge of classical and modern control (PID, adaptive, robust and fractional control);
• Experience in fuzzy logic and AI-based control (reinforcement learning, neuro-fuzzy);
• Skills in modelling and simulation of dynamic systems (MATLAB/Simulink, Gazebo);
• Familiarity with robotic manipulators and manipulator kinematics/dynamics.

4. Digital Twins and Simulation

• Experience in digital modelling of robotic systems and cyber-physical integration;
• Knowledge of digital twin tools (Unity, Unreal Engine, Siemens NX, MATLAB Simscape);
• Ability to represent complex kinematic and dynamic models, including noise and sensor uncertainties.

5. Applied Artificial Intelligence and Data Analysis

• Knowledge of multivariate analysis techniques (PCA, regression, clustering) and predictive risk models;
• Experience with artificial neural networks and fuzzy systems for KPI aggregation;
• Knowledge of data engineering, Python and real-time analysis.

Generic scientific area: Electrotechnical Engineering

Specific scientific area: Automation and Robotics

Where to apply

Website: https://www.ipc.pt/bupc/concursos/form/concursos_bolseiros

Requirements

Research Field: Engineering » Other

Education Level: Bachelor Degree or equivalent

Skills/Qualifications

Holds a bachelor’s degree in Electrical Engineering or a similar field, and is enrolled in a master’s degree program in Electrical Engineering or a related area.

Specific Requirements

Holds a bachelor’s degree in Electrical Engineering or a similar field, and is enrolled in a master’s degree program in Electrical Engineering or a related area.

• With experience in:
  • a) ROS, Programming in C++, Python;
  • b) Modeling and Control.

Additional Information

Benefits

Monthly Maintenance Allowance - €1,090.98. Payment will be made monthly by bank transfer. An additional amount corresponding to voluntary social security contributions for the first tier will be provided if the candidate opts for enrolment. Personal accident insurance will also be provided.

Eligibility criteria

Holds a bachelor’s degree in Electrical Engineering or a similar field, and is enrolled in a master’s degree program in Electrical Engineering or a related area.

• With experience in:
  • a) ROS, Programming in C++, Python;
  • b) Modeling and Control.

Selection process

The application period will be 10 working days, from 20 October 2026 to 2 November 2026.

Candidates must access and register on the following website: https://www.ipc.pt/bupc/concursos/form/concursos_bolseiros and select the procedure for which they wish to apply. Applications must be submitted exclusively in digital format.

Applications must include the following documents:

• Application form available on the internet page for this competition at https://www.ipc.pt/bupc/concursos/form/concursos_bolseiros
• Motivation letter;
• Curriculum vitae;
• Supporting documents for academic qualifications and other elements presented in the curriculum vitae.

The selection committee will consist of the following Professors:

• Full members:
  • Professor Nuno Miguel Fonseca Ferreira;
  • Professor Fernanda Madureira Coutinho;
  • Professor Jorge Miguel Sousa Barreiros.
• Alternate members:
  • Professor Filipe Alexandre Almeida Ningre de Sá;
  • Professor João António Pereira Almeida Durães.

Documents to be Submitted

Applications must include the following documents:

• Application form available on the internet page for this competition at https://www.ipc.pt/bupc/concursos/form/concursos_bolseiros
• Motivation letter;
• Curriculum vitae;
• Supporting documents for academic qualifications and other elements presented in the curriculum vitae.

Selection Criteria

Applications will be evaluated according to the following criteria:

• Curriculum Assessment (70%)
• Interview (30%)

The Curriculum Assessment will consider:

• Absolute merit of the curriculum vitae (70%);
• Publications in conference proceedings and scientific journals (30%).

The interview will consider:

• Knowledge and profile suitable for the functions to be performed (50%);
• Availability and schedule flexibility (20%);
• Motivation and interest (30%).

The evaluation results will be announced within 90 working days from the application submission deadline, by email to the candidates. Following publication of the results, candidates will be notified and, if they so wish, may submit comments during the prior hearing procedure within a maximum period of 10 working days from that date.

At the end of this period, the selected candidates must declare their acceptance in writing and communicate the actual starting date of the grant. Unless there is an acceptable justification, failure to submit the declaration within the specified period will be considered a renunciation of the grant.

Website for additional job details: https://www.ipc.pt/ipc/sobre/rh/a-decorrer-bolseiros/

Work Location(s)

• Number of offers available: 2
• Company/Institute: Instituto Superior de Engenharia de Coimbra
• Country: Portugal
• State/Province: Coimbra
• City: Coimbra
• Postal Code: 3030-199
• Street: R. Pedro Nunes, Alto de São João, 3030-199 Coimbra

Contact

• State/Province: Portugal
• City: Coimbra
• Website: https://www.ipc.pt
• Street: Rua da Misericórdia, Lagar dos Cortiços, S. Martinho do Bispo
• Postal Code: 3045-093
• E-Mail: bolsas.investig@ipc.pt