Postdoc in Machine Learning-driven Modeling of Metallic Microstructures

Challenge: Solve computational bottlenecks in the modelling of mechanics of metallic systems.
Change: Develop new physics-informed machine learning algorithms and predictive models.
Impact: Enable high-throughput analysis of process-structure-property relations for sustainable processing of metallic systems.

Metals play a critical role in the sustainable technological growth of our society. With recent breakthroughs in materials discovery and metallurgy, several new sustainable alloys are on the horizon. However, determining how these materials behave and optimizing methods for processing of these materials is a challenge. This is largely due to the difficulty in modelling the intricate interactions between the materials' structure, properties, and processing methods at various scales, from the microscopic to the macroscopic level.

As a postdoc, you will develop a physics-informed machine learning framework to address those micromechanics modelling bottlenecks and enable high-throughput investigation of the process-structure-property relations of metallic systems. Through this, we hope to accelerate the development of next-generation materials with improved performance, impacting a wide range of applications.

Why join us?

• This will be a 3-year Postdoc position embedded in the Mechanics, Materials, and Computing Group of Dr. Sid Kumar (https://www.mech-mat.com/ ).
• You will lead a pioneering and open-ended project at the forefront of machine learning and computational mechanics.
• You will join a dynamic team of researchers with diverse interests at the intersection of computational mechanics and machine learning.
• You will receive dedicated mentorship and support in developing your independent academic career.
• If you are interested, you will have opportunities for teaching graduate-level courses, supervising PhD and MSc researchers, and/or acquiring independent grants as the lead-PI.
• TU Delft’s Department of Materials Science and Engineering will be your home base. Known for its pioneering research on metallic systems, you will have access to state-of-the-art facilities and collaboration opportunities with both computational and experimental researchers.

• A Ph.D. in a relevant field (e.g., computational or applied mechanics, materials science, mechanical engineering, applied mathematics, computer science).
• Experience in machine learning for scientific applications.
• Strong programming skills (Python, PyTorch, TensorFlow, etc.).
• A passion for cutting-edge research and the drive to solve complex problems.
• Excellent communication and teamwork abilities.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. 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.

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!

From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems.

ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.

Click here  to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos  will introduce you to some of our researchers and their work.

For more information about this vacancy, please contact Dr. Sid Kumar ([email protected] )  

Are you interested in this vacancy? Submit your applications online no later than 28 July 2024. We encourage applicants to apply right away and do not wait until the deadline.

Please enclose:

• A detailed curriculum vitae (CV) including the current status of your PhD and a list of publications and projects.
• Self-selected best scientific paper (journal or conference) relevant to this position
• List of 2-3 references.
• A cover letter with your motivation for joining this position.

Notes:

• You can apply online. We will not process applications sent by email and/or post.
• Please do not contact us for unsolicited services.

A pre-employment screening can be part of the selection procedure.