PhD Position in Computer Vision and Physics-Informed AI for Biomedical Imaging

Universidad Carlos III de Madrid; España; On-site; EUR 17,000 - 20,000; Full time

Benefits offered by this job

Health coverage (Public Health)

Paid annual leave

Pension contributions

Unemployment protection

Job summary

Universidad Carlos III de Madrid is seeking a highly motivated predoctoral PhD researcher to join the Signal Theory and Communications Department. The project IDEALCV-CM aims to advance deep learning for computer vision in biomedical imaging and to develop physics-informed AI for multimodal data fusion, enabling hospital workflow integration.

The role includes enrollment in UC3M's PhD program, full-time on-site commitment in Leganés, with competitive gross monthly salary and generous social

Qualifications

• Solid background in Computer Vision, Deep Learning, Machine Learning, and Signal Processing.
• Proficient in Python and deep learning frameworks.
• MSc degree in Computer Science, Telecommunications Engineering, Biomedical Engineering, Data Science, Physics, or related quantitative disciplines.
• Good command of written and spoken English for scientific writing.

Responsibilities

• Conduct research on computer vision applications in biomedical imaging.
• Develop physics-informed AI with multimodal data fusion for pediatric ALL.
• Publish results in top journals and present at major conferences.

Skills

Computer Vision

Deep Learning

Machine Learning

Signal Processing

Python

DL Frameworks

Education

MSc in CS/related field

Tools

TensorFlow

PyTorch

Job description

Organisation/Company Universidad Carlos III de Madrid Department Signal Theory and Communications Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 11 Nov 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number 2025/00037/001 - IDEALCV-CM Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The Department of Signal Theory and Communications at Universidad Carlos III de Madrid (UC3M) is seeking a highly motivated predoctoral candidate to join the research group as a PhD Researcher.

The position is funded under the research project IDEALCV-CM: Improved Deep Learning for Computer Vision, funded by the Comunidad de Madrid.

Research Project Overview:

The candidate will focus on computer vision applications in biomedical imaging. The core objective is to develop a novel diagnostic paradigm for pediatric Acute Lymphoblastic Leukemia (ALL) by integrating physics-informed AI with multimodal molecular data to facilitate personalized leukemia care directly applicable to routine hospital workflows.

-----------------------------------------------------------------

-----------------------------------------------------------------

This contract is funded by the Comunidad de Madrid through the project "Improved Deep Learning for Computer Vision", acronym IDEALCV-CM and reference TEC-2024/COM-322, awarded in the 2024 Call for R&D Activities Programs in Technologies by the Directorate-General for Research and Technological Innovation through ORDER 5696/2024, of December 10, of the Regional Minister of Education, Science and Universities.

------------------------------------------------------------------

------------------------------------------------------------------

• Solid background in Computer Vision, Deep Learning, Machine Learning, and Signal Processing.
• High proficiency in Python and deep learning frameworks.
• MSc degree in Computer Science, Telecommunications Engineering, Biomedical Engineering, Data Science, Physics, or related quantitative disciplines.
• Good command of written and spoken English for scientific writing and international presentations.

DESIRABLE SKILLS:

• Previous experience in biomedical image analysis.
• Knowledge of physics-informed machine learning and multimodal data fusion strategies.
• Strong motivation for interdisciplinary research, problem-solving skills, and team-working capability.

Specific Requirements

• Academic Eligibility: Candidates must hold an official university degree (Bachelor's + Master's degree or equivalent) comprising at least 300 ECTS credits, enbling formal admission to doctoral studies in the European Higher Education Area (EHEA).
• PhD Enrollment: Successful admission and formal enrollment in the PhD Programme at Universidad Carlos III de Madrid (UC3M).
• Foreign Qualifications: Holders of degrees obtained outside the EHEA must provide documentation demonstrating equivalence or legal authorization for doctoral access in Spain.
• Commitment: Full-time availability for on-site research activity at the Department of Signal Theory and Communications (UC3M, Leganés Campus).

Languages SPANISH Level Good

Languages ENGLISH Level Good

Research Field Computer science Years of Research Experience None

Additional Information

Financial Conditions: Gross monthly salary of €1,653.57 paid in 14 monthly installments per year (approx. €23,150 gross/year).

Contract Type & Duration: Full-time predoctoral employment contract with an initial duration of 1 year, renewable annually up to a maximum duration of 4 years.

Social Benefits: Full coverage under the Spanish National Health and Social Security System, paid annual leave, public pension contributions, and unemployment protection.

Research Environment: Integration into a leading research team at Universidad Carlos III de Madrid (UC3M), with access to advanced computing infrastructure and opportunities to publish in top-tier international journals and attend major scientific conferences.

Eligibility criteria

• Academic Qualification: Candidates must hold an official university Bachelor's degree and a Master's degree (or an equivalent qualification of at least 300 ECTS credits) that formally qualifies them for admission to a doctoral program in the European Higher Education Area (EHEA).
• Doctoral Admission: Eligibility to enroll in the PhD Programme at Universidad Carlos III de Madrid.
• Background: Relevant academic background in Computer Science, Telecommunications Engineering, Biomedical Engineering, Data Science, Physics, or related quantitative disciplines.
• Degree Homologation: Candidates with foreign degrees obtained outside the EHEA must fulfill UC3M requirements for doctoral access authorization upon appointment.

Selection process

The selection process will be conducted by a dedicated evaluation committee and will consist of the following phases:

1. 1. Administrative Verification: Verification of academic eligibility and compliance with application requirements.

------------------------------------------------------------------