Postdoc in Computer Vision and Smart Sensing for Sustainable Aluminium Recycling

Laplace Expert Ltd; Delft; Remote; EUR 40,000 - 62,000; Full time

Job summary

Delft University of Technology is recruiting a postdoctoral researcher in computer vision, smart sensing and AI for sustainable aluminium recycling within the Horizon Europe CLEANMAT project. Applications close on 3 November 2026 at 23:59 Europe/Amsterdam.

The postdoc develops machine-learning and deep-learning models for aluminium-scrap characterisation, multi-sensor data interpretation and sensor fusion. The role combines computer vision, smart sensing and laboratory validation to improve

Qualifications

• PhD in civil, mechanical, automation/electrical engineering, applied mathematics/mechanics, computer science or a related field.
• Demonstrated experience in computer vision, machine learning, sensing technologies, or mechanical/electrical device integration, with a publication record.
• Strong modelling and experimental skills for lab validation and sensor data interpretation.

Responsibilities

• Develop machine-learning and deep-learning models for aluminium-scrap characterisation.
• Perform multi-sensor data interpretation and sensor fusion for recycling processes.
• Combine computer vision with smart sensing and laboratory validation to improve low-emission aluminium processing.

Skills

Computer vision

Machine learning

Deep learning

Sensor fusion

Image processing

Python

C++

Smart sensing

Education

PhD in a relevant field

Job description

Postdoc in Computer Vision and Smart Sensing for Sustainable Aluminium Recycling

Delft University of Technology · Engineering Structures, Resources & Recycling section

Netherlands

Apply by 03 Nov 2026

About This Opportunity

Delft University of Technology is recruiting a postdoctoral researcher in computer vision, smart sensing and AI for sustainable aluminium recycling within the Horizon Europe CLEANMAT project. Applications close on 3 November 2026 at 23:59 Europe/Amsterdam.

The postdoc develops machine-learning and deep-learning models for aluminium-scrap characterisation, multi-sensor data interpretation and sensor fusion. The role combines computer vision, smart sensing and laboratory validation to improve low-emission circular aluminium processing.

computer vision aluminium recycling sensor fusion CLEANMAT circular economy

Level Postdoc

Time Commitment Full-time

Duration 2 years

Reference Code 3852

Field Computer Vision and Smart Sensing for Aluminium Recycling

Specialization Artificial Intelligence & Data Science

Organization Type University

Funding & Compensation

Amount EUR 3,546-5,538 / Per Month

Funding Type Salary

Funding Status Paid

Period Per Month

Requirements

Education

Applicants should hold a PhD in civil, mechanical, automation/electrical engineering, applied mathematics/mechanics, computer science or a related field.

Experience

Demonstrated experience in computer vision, machine learning, sensing technologies, or mechanical/electrical device integration is required, together with a scientific publication record.

Technical Skills

• Computer vision
• Machine learning
• Deep learning
• Sensor fusion
• Image processing
• Python
• C++
• Smart sensing

General Skills

• Independent research
• Multidisciplinary collaboration
• Scientific writing