Application of Quantum Computing to Machine Learning in Railway Digital Twins
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Job Description
The Department of Mechanical Engineering and Materials of the School of Engineering at the University of Navarra (Tecnun) is seeking a candidate to undertake a doctoral thesis focused on exploring the use of quantum computing for solving Machine Learning algorithms in the railway sector.
The project involves analyzing key applications and algorithms, such as quantum machine learning and optimization, and assessing the impact of quantum technology on the CAF group, aligned with its current and future needs.
The candidate will focus on Quantum Machine Learning due to its relevance with ongoing neural network research.
Work Includes
1. Transforming real industrial problems into quantum computing frameworks and solving them, likely requiring problem simplification to meet current technological limitations.
What We Offer
* A one-year contract, extendable up to four years.
* Training in Quantum Computing and Quantum Machine Learning.
* Neural networks for engineering problems.
* Railway systems and physical modeling.
* Development of scientific, professional, and personal skills.
* Work schedule: 7.75 hours/day, flexible start times (8:00-9:30), Fridays with potential for continuous hours, summer mornings (June 15 - August 31).
* Holidays: 23 working days plus Christmas (Dec 24 - Jan 2).
Qualifications
* Master's Degree in Industrial Engineering, Mechanical Engineering, or similar with a strong mathematical background.
* Candidates from other engineering disciplines are considered.
Technical Skills
* Proficiency in Python and Matlab.
* Knowledge of programming, Machine Learning, and Deep Learning tools.
Additional Skills
* Teamwork abilities.
Job Details
* Seniority level: Associate.
* Employment type: Full-time.
* Job function: Design and Education.
* Industry: Research Services.
Note: This job posting does not indicate that it is expired, so it appears to be active.
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