CALL FOR APPLICATIONS: RESEARCHER
Job reference: AE[contact details available in the full listing] (STREAM-CTM)
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 electrical engineering
- Project: Smart Tracking and Real-time Enhanced Asset Management
- Scientific Advisor: Nuno Miguel Paulino
- Start Date: from 2026-11-23
- Location: INESC TEC, Porto, Portugal
Job description
Work Area: electrical engineering
Project overview:
- Development of more efficient fingerprinting methodologies, including interpolation and data augmentation techniques, adaptive selection of reference points, and reduction of experimental data collection effort.
- Implementation and evaluation of new machine learning-based localization models, exploring different WiFi channel characteristics, namely RSSI and, potentially, CSI.
- Integration of the developed methods into the RTLS for real-time operation, including experimental validation, comparative performance analysis, and contributions to scientific publications.
Objectives:
- Continue the development and optimization of a WiFi-based indoor localization system, exploring advanced fingerprinting techniques and machine learning models to improve the accuracy, robustness, and scalability of real-time localization.
Academic Qualifications: Bachelor's degree in Electrical and Computer Engineering, with a specialization in networking.
Minimum profile required: —
Preference factors:
- Experience in developing and evaluating indoor localization algorithms, particularly fingerprinting techniques, using Python or C/C++;
- Knowledge of data processing, machine learning, and experimental data analysis;
- Experience in software development for the acquisition and processing of WiFi network data, namely RSSI and CSI;
- Research experience, preferably of at least 1 year, in communication networks or wireless localization systems.
Funding Entity: project STREAM, with reference 18501 (COMPETE2030-FEDER-01491500) Co-funded by ERDF - European Regional Development Fund through the Innovation and Digital Transition Thematic Programme (COMPETE 2030) within the scope of Portugal 2030.
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 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: Nuno Miguel Paulino
Member: Luís Manuel Pessoa
Member: Vítor Grade Tavares
Notification of results: The results of the selection process will be sent to the interested by electronic mail.
Application period: From 2026-10-22 to 2026-11-05.
Application submission: Electronic form filling in www.inesctec.pt in the section Work with Us.