Optimizing Combinatorial Problems with Deep Learning Expertise

3 dagen geleden


Zoetermeer, Zuid-Holland, Nederland ORTEC Voltijd
Unlocking Optimization Potential

Company Overview:

ORTEC is a leading company in applied mathematics, driven by a passion to solve complex problems and improve our planet.

About the Role:

We are seeking a highly skilled master student in artificial intelligence or a related field to join our team. As a deep learning expert, you will play a crucial role in developing efficient training pipelines for advanced neural network architectures like transformers on GPU.

Job Description:

In this role, you will be responsible for scaling up deep learning techniques to larger and more realistic problem instances, such as real-world routing problems with thousands of customers. You will work closely with our team to develop innovative solutions that can exploit patterns in problem instances and translate them into good solution structures.

Required Skills and Qualifications:

  • Master's degree in artificial intelligence or a related field
  • Practical experience with training deep learning models on hardware accelerators using frameworks such as PyTorch, TensorFlow, or JAX
  • Proficiency in Python and familiarity with concepts such as vectorized programming and threading
  • Experience with graph neural networks/transformers is a plus
  • Living in the Netherlands and studying at a Dutch University
  • Fluent communication skills in English, both verbally and in writing
  • Availability for 6 months, working 32-40 hours per week

Benefits:

  • Excellent supervision during your graduation project
  • Good internship allowance, laptop, and other office facilities
  • An open, kind, and fun culture
  • Youth association Young ORTEC, offering various activities and events

Salary: €45,000 - €55,000 per year, depending on experience and qualifications

The Next Steps: If you are interested in this opportunity, please upload your CV, motivation letter, and grade lists (BSc and MSc in one PDF if applicable). Our recruitment process will consist of two online assessments, a first interview, and a second interview with a case study.



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