PhD Position Quantum Machine learning for Structual Health Monitoring
PhD Position Quantum Machine learning for Structual Health Monitoring
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Job description
With the advancement in quantum computers (QC), quantum machine learning has emerged as a promising and exciting field of research that aims to leverage the power of QC to solve complex problems in machine learning.
Vibration data is one of the most informative response of a system that is being used extensively for monitoring purposes such as non-destructive testing (NDT), structural health monitoring (SHM). However, extracting useful information from vibration signals is not a trivial task.
The main goal of the PhD project is to develop novel quantum machine learning algorithms for vibration-data analysis for SHM/NDT applications. The project will involve both theoretical and experimental aspects, such as:
- Developing quantum algorithms for data preprocessing, feature extraction, dimensionality reduction, classification, and regression on vibration signals.
- Implementing and testing the quantum algorithms on state-of-the-art quantum hardware and software platforms
- Comparing the performance and scalability of the quantum algorithms with classical machine learning methods on real-world vibration datasets from aerospace structures and materials.
- Exploring the potential advantages and limitations of quantum machine learning for SHM/NDT problems, such as noise robustness, computational speedup,
Specifications
- 38—40 hours per week
- €2770—€3539 per month
- Delft View on Google Maps
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Delft University of Technology (TU Delft)
Requirements
The ideal candidate should have:
- A master’s degree in quantum physics, computer science, electrical engineering, mathematics, or a related field.
- A strong background and interest in quantum computing, quantum information, and quantum algorithms.
- A good knowledge and experience in machine learning, data analysis, signal processing, and optimization.
- A strong expertise in programming languages such as Python, MATLAB, etc. and familiarity with quantum computing frameworks such as Qiskit, Cirq, etc.
- A good command of English (written and spoken) and excellent communication skills.
- A high level of creativity, initiative, independence, and teamwork spirit.
Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.
Conditions of employment
Fixed-term contract: 4 years.
Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770 per month in the first year to € 3539 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.
The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.
For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.
Employer
Delft University of Technology
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.
At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.
Challenge. Change. Impact!
Department
Faculty Aerospace Engineering
The Faculty of Aerospace Engineering at Delft University of Technology is one of the world’s most highly ranked (and most comprehensive) research, education and innovation communities devoted entirely to aerospace engineering. More than 200 science staff, around 270 PhD candidates and close to 3000 BSc and MSc students apply aerospace engineering disciplines to address the global societal challenges that threaten us today, climate change without doubt being the most important. Our focal subjects: sustainable aerospace, big data and artificial intelligence, bio-inspired engineering and smart instruments and systems. Working at the faculty means working together. With partners in other faculties, knowledge institutes, governments and industry, both aerospace and non-aerospace. Working in field labs and innovation hubs on our university campus and beyond.
Click here to go to the website of the Faculty of Aerospace Engineering.
Specifications
- PhD
- Engineering
- 38—40 hours per week
- €2770—€3539 per month
- University graduate
- TUD04562
