Postdoc on Quantum Machine Learning for Structual Health Monitoring

Experienced with Quantum Machine Learning and interested in Dynamic systems and structures? Come join our group in TUDelft!

With the advancement of quantum computers and the associated algorithms, different fields have started to exploit inherent quantum mechanical features such as superposition and entanglement and investigate if they can leverage them in their fields. Among different quantum applications, quantum(-enhanced) machine learning (QML) has already shown its effectiveness in different domains.

This project aims to develop a quantum machine learning algorithm for detecting/predicting damage in dynamic systems and structures. To do so, the postdoctoral reasearcher will perform data encoding and make QML models to be trained/performed in simulated and real quantum computers.

We are looking for a highly talented and motivated PhD graduate with a background in quantum machine learning that can act as a leader within the project and is able to successfully complete it. You will be working on this project in cooperation with the principal investigators at TU Delft and QuTech, but will be expected to be the main driving force in realizing the (end) goals.

• Experience in Quantum Machine Learning (in simulated and/or real quantum computers)
• Programming skills in Python is highly desirable
• Familiarity with dynamic structures is desirable
• The candidate should have a high degree of independence and should be capable of a good time- and project-management.
• Ability to work in a team and take initiative.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation. An International Children's Centre offers childcare and there is an international primary school.

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!

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 250 PhD candidates and over 2,700 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.

Department

The Department of Aerospace Materials and Structures is dedicated to research on and development of structures and materials. The department consists of multiple groups that together cover the range from fundamental material science to full-scale structural component testing. The department has a strong expertise in the development and application of optical and ultrasonic instrumentation and monitoring systems and the related signal processing and modelling.   

For more information about this vacancy, please contact Vahid Yaghoubi ([email protected] ). 

Are you interested in this vacancy? Please apply before 1 November 2022 via the application button and upload your motivation and CV.

• A pre-employment screening can be part of the selection procedure.
• Applying for an exemption for specific research and educational areas is an obligatory part of the selection procedure for this vacancy. This exemption must be obtained from the Ministry of Education, Culture and Science (OCW) before an employment contract is agreed upon. Click here for more information.
• You can apply online. We will not process applications sent by email and/or post.
• Acquisition in response to this vacancy is not appreciated.

For more information about the application procedure, please contact [email protected] . 

Experienced with Quantum Machine Learning and interested in Dynamic systems and structures? Come join our group in TUDelft!

With the advancement of quantum computers and the associated algorithms, different fields have started to exploit inherent quantum mechanical features such as superposition and entanglement and investigate if they can leverage them in their fields. Among different quantum applications, quantum(-enhanced) machine learning (QML) has already shown its effectiveness in different domains.

This project aims to develop a quantum machine learning algorithm for detecting/predicting damage in dynamic systems and structures. To do so, the postdoctoral reasearcher will perform data encoding and make QML models to be trained/performed in simulated and real quantum computers.

We are looking for a highly talented and motivated PhD graduate with a background in quantum machine learning that can act as a leader within the project and is able to successfully complete it. You will be working on this project in cooperation with the principal investigators at TU Delft and QuTech, but will be expected to be the main driving force in realizing the (end) goals.

• Experience in Quantum Machine Learning (in simulated and/or real quantum computers)
• Programming skills in Python is highly desirable
• Familiarity with dynamic structures is desirable
• The candidate should have a high degree of independence and should be capable of a good time- and project-management.
• Ability to work in a team and take initiative.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation. An International Children's Centre offers childcare and there is an international primary school.

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!

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 250 PhD candidates and over 2,700 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.

Department

The Department of Aerospace Materials and Structures is dedicated to research on and development of structures and materials. The department consists of multiple groups that together cover the range from fundamental material science to full-scale structural component testing. The department has a strong expertise in the development and application of optical and ultrasonic instrumentation and monitoring systems and the related signal processing and modelling.   

For more information about this vacancy, please contact Vahid Yaghoubi ([email protected] ). 

Are you interested in this vacancy? Please apply before 1 November 2022 via the application button and upload your motivation and CV.

• A pre-employment screening can be part of the selection procedure.
• Applying for an exemption for specific research and educational areas is an obligatory part of the selection procedure for this vacancy. This exemption must be obtained from the Ministry of Education, Culture and Science (OCW) before an employment contract is agreed upon. Click here for more information.
• You can apply online. We will not process applications sent by email and/or post.
• Acquisition in response to this vacancy is not appreciated.

For more information about the application procedure, please contact [email protected] .