What you'll do
In this role, you will contribute to the development of advanced AI methods for efficient data processing in high-energy physics. You will work on deep learning and tensor-network techniques to help build next-generation software for real-time data analysis, conducting research and development activity as part of a heterogenous team of physicists and computer scientists.
Your responsibilities
- Research and develop methods to convert conventional neural networks into tensor-network models.
- Explore pruning and quantization approaches to improve the efficiency of tensor-network deployment.
- Contribute to libraries and tools for compressing and deploying neural networks.
- Collaborate with an international, interdisciplinary team of scientists and software engineers.
- Share results through open-source contributions, publications, and conference presentations.
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Your profile
- Expertise in deep learning, tensor networks.
- Experience with FPGA programming and/or hardware-aware AI deployment is highly desirable.
- Your studies focused on Computer Science or related fields
Your skills
- Strong programming skills in Python and C++, familiarity with PyTorch or TensorFlow.
- Ability to work collaboratively in a multidisciplinary, international environment.
- Spoken and written English, with a commitment to learn French
Employment conditions
- Work during nights, Sundays and official holidays, when required by the needs of the Organization.
Global Benefits at CERN
Let's get you ready
Be sure to meet the eligibility criteria
- By the application deadline, you have a master’s degree with 2 to 6 years of professional experience since graduation or a PhD with a maximum of 3 years of professional experience since graduation. You are not eligible with only a bachelor’s degree.
- You have never had a CERN fellow or graduate contract before.
- Please pay attention to the additional criteria and requirements for this specific position and mentioned above.
You will need these documents to complete your application
- Your CV (English or French)
- Any document you consider relevant to your application
- A copy of your most relevant diploma or a certificate of achievement from your school (if you don't yet have your paper diploma)