Research Scholar in Neuromorphic Event-Based Data Compression
Develop cutting-edge compression algorithms for neuromorphic event data within the Neurovision project at Instituto de Telecomunicações.
Best for:Best for master’s graduates or early-stage researchers with expertise in signal processing, computer vision, or neuromorphic computing, interested in developing innovative compression techniques for event-based data.
Overview
This research scholarship at Instituto de Telecomunicações in Lisbon focuses on advancing neuromorphic event-based data compression. The successful candidate will design and implement lossy and learning-based compression algorithms, develop models for aggregating neuromorphic event data, and integrate these solutions into high-frame-rate video reconstruction and machine vision tasks. The project is part of the Neurovision initiative, funded by FCT, and aims to evaluate performance through rate-distortion analysis and task-oriented benchmarks. The position offers a 12-month contract with the possibility of renewal, starting in November 2026, and is based at Instituto Superior Técnico. The work involves close collaboration with the Multimedia Signal Processing group and participation in international standardization activities.
What you'll do
- Design and implement lossy and learning-based compression algorithms tailored for neuromorphic event data.
- Develop models for aggregating and representing neuromorphic event data to optimize compression performance.
- Integrate proposed codecs into practical use cases, such as high-frame-rate video reconstruction and machine vision tasks.
- Evaluate compression performance using rate-distortion analysis, objective quality metrics, and task-oriented benchmarks.
- Publish research findings in scientific conferences and contribute to international standardization efforts within JPEG XE.
- Collaborate with the Multimedia Signal Processing group to advance the Neurovision project objectives.
Requirements
Degree required: Master’s degree or equivalent in Electrical Engineering, Computer Science, or a related field
Language: English; good proficiency (equivalent to IELTS 6.5 or TOEFL 90)
Instruction: English
- Proven expertise in signal processing or computer vision algorithms
- Experience with neuromorphic data handling or event-based sensors
- Familiarity with compression techniques and rate-distortion optimization
- Programming skills in Python, C++, or similar languages for algorithm implementation
- Applicants must be enrolled in or intend to enroll in a higher education course leading to an academic degree or a non-degree course
- Proof of enrollment or declaration of intent to enroll must be submitted by the time of contract signing
Funding & terms
How to apply
Deadline: 2026-10-14T00:00:00 (Europe/Lisbon)
Applicants must submit their application through the Instituto de Telecomunicações online platform. The required documents include a motivation letter explaining interest in the position, a detailed CV with transcripts, a degree certificate (if applicable), and proof of enrollment in a higher education course or declaration of intent to enroll. The cover letter and CV are mandatory for the application.
- Motivation letter explaining interest in the position
- Detailed Curriculum Vitae with transcripts
- Degree certificate (if applicable)
- Proof of enrollment in a higher education course or declaration of intent to enroll
Contact
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