- You are a master student in artificial intelligence or a related field
- You have practical experience with training deep learning models on hardware accelerators using frameworks such as PyTorch, TensorFlow or JAX
- You are comfortable in Python and familiar with concepts such as vectorized programming, threading, etc.
- Experience with graph neural networks/transformers is a pre
- You are currently living in the Netherlands and you are studying at a Dutch University
- You communicate fluently in English, verbally and in writing
- You are available for 6 months for 32-40 hours a week
- Entrance to the most passionate powerhouse in applied mathematics. We share a drive to use our problem-solving skills to improve our planet, from the world at large to our own backyard.
- Inclusion in a company founded by graduate students back in 1981, which today still fosters its students by:
- Excellent supervision during your graduation project.
- Good internship allowance, laptop, and other office facilities.
- An open, kind, and fun culture.
- Young ORTEC, an association that organizes all kinds of activities for juniors, mediors, and graduate students at ORTEC, including Thursday afternoon drinks at our own bar "ORTap".
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Graduation Project: Learning to optimize with Deep Learning - Zoetermeer, Nederland - ORTEC
Beschrijving
Job description
At ORTEC, we solve thousands of optimization problems every day. While every problem is unique, there are patterns in the problem instances that we solve. Can we exploit the patterns in these problem instances, translating them into patterns for good solutions that we can learn from previously optimized solutions?
The challenge
Some successes have been made in using deep learning models to predict solution structures for combinatorial optimization problems, yet they are limited to simpler problems of moderate size (see some of the references below). We would like to scale up these techniques to larger and more realistic problem instances (e.g. real world routing problems with 1000s of customers). To do so, you need to develop efficient deep learning training pipelines that can run advanced (graph) neural network architectures like transformers on GPU.
Who you are
What we offer
The next steps:
Did we peak your interest? Then upload your CV, motivation letter and grade lists (BSc and MSc in one PDF if applicable). The recruitment process will consist of two online assessments, first interview, and a second interview with a case.
What to expect
We will help you to thrive in your field of expertise. We offer development programs, tailored to your individual needs and function requirements, including opportunities to attend courses and seminars. We offer challenging, practical hands-on experience with opportunities to work abroad. We operate in a flat organizational structure that keeps communication lines short. The atmosphere is open, informal, cooperative and positive.
