IDEALCV-CM - Improved Deep Learning for Computer Vision

Universidad Carlos III de Madrid; España; On-site; EUR 19,000 - 26,000; Part time

Job summary

Universidad Carlos III de Madrid invites applications for a First Stage Researcher (R1) in the Signal Theory and Communications Department. The research involves memory architectures for long-term action prediction and an adaptive memory-compression system for an assistive robotic environment.

Requires a Biomedical Engineering degree, a Master’s in ML for healthcare is a plus, strong programming in Python/Java/MATLAB/R, and knowledge of DL/CV.

Qualifications

• Degree in Biomedical Engineering or a related field.
• A Master's degree in Machine Learning applied to healthcare or a related discipline will be considered an advantage.
• Programming skills in Python, Java, MATLAB and R.
• Knowledge of Deep Learning and/or Computer Vision.
• Previous experience in university teaching.
• Previous experience in publishing scientific articles in peer-reviewed journals.
• Certified English proficiency at C1 level or above.

Responsibilities

• Exploration of memory-compression architectures for long-term procedural action prediction.
• Development of a novel adaptive memory-compression architecture adapted to our assistive robotic environment.
• Experimental evaluation and analysis. Experiments will assess prediction accuracy at different temporal horizons.

Skills

Python

Java

MATLAB

R

Deep Learning

Computer Vision

Teaching experience

English proficiency

Education

Bachelor's degree in Biomedical Engineering

Master's degree in Machine Learning applied to healthcare

Job description

Biological sciences » Biological engineering

Computer science » Other

Organisation/Company Universidad Carlos III de Madrid Department Signal Theory and Communications Research Field Biological sciences » Biological engineering Computer science » Other Researcher Profile First Stage Researcher (R1) Positions Research Support Positions Application Deadline 21 Oct 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Other Type of Contract Extra Information Permanent contract with phased project assignments Job Status Full-time Hours Per Week 37,5 Offer Starting Date 23 Nov 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number 2026/372 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

• Exploration of memory-compression architectures for long-term procedural action prediction. The subtask will explore approaches such as hierarchical temporal representations, recurrent memory mechanisms, etc.
• Development of a novel adaptive memory-compression architecture adapted to our assistive robotic environment
• Experimental evaluation and analysis. Experiments will assess prediction accuracy at different temporal horizons.

This contract is funded by the Community of Madrid through the project “Improved Deep Learning for Computer Vision” (IDEALCV-CM), reference TEC-2024/COM-322, awarded under the 2024 R&D Activity Programmes in Technologies call, through the Directorate-General for Research and Technological Innovation, pursuant to Order 5696/2024 of 10 December, issued by the Regional Minister for Education, Science and Universities.

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• Degree in Biomedical Engineering or a related field.
• A Master's degree in Machine Learning applied to healthcare or a related discipline will be considered an advantage.
• Programming skills in Python, Java, MATLAB and R.
• Knowledge of Deep Learning and/or Computer Vision.
• Previous experience in university teaching.
• Previous experience in publishing scientific articles in peer-reviewed journals.
• Certified English proficiency at C1 level or above.

Specific Requirements

Applicants must hold a completed university degree (Bachelor's degree or equivalent), in accordance with the eligibility requirements established in the official call.

Research Field Computer science » OtherBiological sciences » Biological engineering Years of Research Experience 1 - 4

Additional Information

The position offers a full-time employment contract with a working schedule of 37.5 hours per week. The gross monthly salary is €2,029.07, paid in 12 instalments per year.

Eligibility criteria

Applicants must hold a completed university degree (Bachelor's degree or equivalent), in accordance with the eligibility requirements established in the official call.