Postdoc Position in Process Systems Engineering (PSE) and Machine Learning (ML)
Postdoc Position in Process Systems Engineering (PSE) and Machine Learning (ML)
Job description
Artificial intelligence (AI), in particular Machine Learning (ML), promises great advances for digitization, modeling, and optimization of chemical industrial processes. We are seeking a highly motivated Postdoc to work on the combination of process optimization (i.e., Process Systems Engineering (PSE)) and the ML domain.
In this postdoc project, you will develop novel tools for the optimization of chemical processes. The project is part of a direct collaboration with a leading energy company that provides process design data. You are leading this collaboration and you will possibly co-supervise an associated PhD project.
In the project, you will combine process systems engineering knowledge with machine learning in an effective way. In particular, you will use computer vision techniques (e.g., object detection) to automatically set up superstructure optimization problems (i.e., mixed-integer nonlinear optimization problems, MINLPs). Moreover, your work will include hybrid modeling and physics-informed neural networks. We are happy to provide you with more technical details about our vision in a personal interview.
We support you to become a future leader in AI in chemical engineering. This project will prepare you for a future career in academia and industry. You will be responsible for the full project. This includes scientific research (e.g., method development and application) as well as project organization and collaboration with the industry. You will supervise a team of graduate students and potentially co-supervise PhDs. Your work will be computational. Moreover, you will be involved in teaching activities (e.g., a course on AI in chemical engineering) and funding acquisition. We facilitate collaborations and provide many opportunities to connect to the academic and industry communities. Finally, your work will contribute to the transition to sustainable chemical systems and you will have the opportunity to work in an interdisciplinary environment and interact with world-class collaborators.
Specifications
- 36—40 hours per week
- €2960—€4670 per month
- Delft View on Google Maps
Delft University of Technology (TU Delft)
Requirements
We are looking for candidates that meet the following criteria:
- Hold a Ph.D. degree in STEM (preferably in Chemical Engineering, applied mathematics, or computer science)
- Prior expertise in process sytems engineering and/or machine learning
- Excellent programming skills in Python or Julia are essential. Knowledge of other programming languages is desired.
- Experience with relevant Python libraries (TensorFlow/PyTorch, the python scientific stack) is necessary
- Familiarity with version control, for example, git
- Prior knowledge of chemical process modeling
- Ability to work in a team and mentor other students
- Ability to communicate scientific results
- Excellent oral and written English with good presentation skills.
Preferred Qualifications
- Experience with continuous integration and testing pipelines.
- Experience with computer vision
- Experience with superstructure optimization and MINLPs
Conditions of employment
Fixed-term contract: 2 years (1 year initial + 1 year after review).
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.
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 Applied Sciences
With more than 1,000 employees, including 135 pioneering principal investigators, as well as a population of about 3,400 passionate students, the Faculty of Applied Sciences is an inspiring scientific ecosystem. Focusing on key enabling technologies, such as quantum- and nanotechnology, photonics, biotechnology, synthetic biology and materials for energy storage and conversion, our faculty aims to provide solutions to important problems of the 21st century. To that end, we train students in broad Bachelor's and specialist Master's programmes with a strong research component. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and Health Science & Technology, Nanoscience, Chemical Engineering, Radiation Science & Technology, and Engineering Physics. We are also training the next generation of high school teachers and science communicators.
Click here to go to the website of the Faculty of Applied Sciences.
Additional information
For more information about this vacancy, please contact Dr. Artur Schweidtmann.
Specifications
- Postdoc
- Engineering
- 36—40 hours per week
- €2960—€4670 per month
- Doctorate
- TUD03342
Employer
Location
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Application procedure
Are you interested in joining our team? Please apply before 15-02-2023 via the application button and upload:
- A motivation letter (max 1 Apage);
- Your curriculum vitae;
- Your BSc and MSc academic records (including courses and grades);
- The names and contact details of two references.
A pre-employment screening can be part of the selection procedure.
You can apply online. We will not process applications sent by email and/or post.Acquisition in response to this vacancy is not appreciated.
The available position will be filled as soon as possible (i.e. once a suitable candidate is found). This means that the selection of candidates will already start before the application deadline.
Application procedure
Application procedure
Are you interested in joining our team? Please apply before 15-02-2023 via the application button and upload:
- A motivation letter (max 1 Apage);
- Your curriculum vitae;
- Your BSc and MSc academic records (including courses and grades);
- The names and contact details of two references.
A pre-employment screening can be part of the selection procedure.
You can apply online. We will not process applications sent by email and/or post.Acquisition in response to this vacancy is not appreciated.
The available position will be filled as soon as possible (i.e. once a suitable candidate is found). This means that the selection of candidates will already start before the application deadline.
Make sure to apply no later than 15 Feb 2023 23:59 (Europe/Amsterdam).