Fully-funded PhD position: Optimisation algorithms for 3D irregular cutting & packing problems

9 Feb 2024
Job Information

Organisation/Company

KU Leuven

Research Field

Computer science

Researcher Profile

First Stage Researcher (R1)

Country

Belgium

Application Deadline

29 Feb 2024 - 00:00 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

38 hours/week

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

BAP-2024-66

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

In logistics and manufacturing, it is often the case that items or objects must be optimally positioned within a 3D volume (container). This is a challenging optimization task, which becomes even more challenging when the items or objects in question have irregular shapes and can be rotated in multiple ways. This problem of positioning 3D objects within a 3D volume can be seen as an optimization problem. More specifically, it belongs to the class of 3D Cutting & Packing optimization problems. These problems are unique in the fact that they combine geometric computations with (combinatorial) optimization. Some of the most challenging cutting & packing problems are those featuring 3D irregular objects.In this research project, we would like to advance the state-of-the-art in solving 3D irregular cutting & packing problems. We will develop highly parallel optimization algorithms and run them on modern computing hardware such as multicore CPUs and GPUs. Furthermore, we will develop efficient optimization algorithms that can run locally on hardware with limited resources.

Requirements

Research Field

Engineering

Education Level

Master Degree or equivalent

Languages

ENGLISH

Level

Good

Additional Information
Benefits

• A fully-funded four-year PhD grant at KU Leuven, a university which is ranked consistently among the top universities in Europe.
• A great work environment surrounded by skilled people with expert knowledge on combinatorial optimisation.
• Networking opportunities through participation in conferences, workshops and collaborations with local and international research groups.
• The opportunity to develop teaching and management skills.
• Opportunities for collaborating with industrial partners.

Eligibility criteria

• Master's degree relevant to computational computer science, algorithms and datastructures, combinatorial optimization. 
• Experience with parallel computing and GPU programming is a plus,
• The candidate should have provable experience in the implementation of efficient algorithms in a modern programming language.
• Work precisely and are able to report accurately,
• Have very good communication skills,
• Have a good command of English, both written and spoken.

Selection process

For more information please contact Prof. dr. Tony Wauters, mail: [email protected] .
You can apply for this job no later than 29/02/2024 via the online application tool

Work Location(s)

Number of offers available

1

Company/Institute

KU Leuven

Country

Belgium

State/Province

Oost-Vlaanderen

City

Gent

Postal Code

9000

Street

Gent

Geofield

Where to apply

Website

https://easyapply.jobs/r/akzKcka21k8gJa2Yozce

Contact

State/Province

Gent

City

Oost-Vlaanderen

Street

Gent

Postal Code

9000

STATUS: EXPIRED