Job Information
- Organisation/Company
- KU Leuven
- Research Field
- Computer science
- Researcher Profile
- First Stage Researcher (R1)
- Country
- Belgium
- Application Deadline
- 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
- 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.
- 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.
For more information please contact Prof. dr. Tony Wauters, mail: tony.wauters@kuleuven.be.
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
Contact
- State/Province
- Gent
- City
- Oost-Vlaanderen
- Street
- Gent
- Postal Code
- 9000