Postdoc – Machine Learning Design: Join a dynamic research team at TU Delft to revolutionize materials discovery using cutting-edge machine learning. This postdoc position focuses on developing data-efficient machine learning frameworks for designing polymers with specific physical properties.
Designation: Postdoctoral Researcher
Research Area: Machine Learning, Materials Science, Chemistry
Location: Delft University of Technology (TU Delft), Delft, Netherlands
Eligibility/Qualification:
- Ph.D. in a relevant field (e.g., materials science, chemistry, computer science).
- Experience in machine learning for scientific applications.
- Proficiency in programming languages such as Python, PyTorch, TensorFlow, etc.
- Passion for advanced research and problem-solving.
- Strong communication and teamwork skills.
Job Description:
Postdoc – Machine Learning for Molecular-level Design of Polymers
Are you passionate about using machine learning to accelerate materials discovery? Do you have a strong background in scientific applications of machine learning? Join our research team at TU Delft and be part of a groundbreaking project that aims to design polymer molecules with targeted physical properties efficiently.
Key Responsibilities:
- Develop a data-efficient framework based on graph neural networks and reinforcement learning for designing polymers with specific physical properties.
- Focus on achieving extreme data efficiency while maintaining accuracy in achieving desired physical properties.
- Collaborate with international experts from diverse disciplines.
- Utilize state-of-the-art resources and computational facilities.
- Supervise PhD and MSc researchers.
- Receive mentorship and support to advance your academic career.
Conditions of Employment:
- A 2-year Postdoc position (with possibilities of an extension) embedded in the research group of Dr. Sid Kumar.
- Salary and benefits in accordance with the Collective Labour Agreement for Dutch Universities (salary indication: € 4.036 – € 5.090 per month gross).
- Customizable compensation package, health insurance discounts, and monthly work costs contribution.
- Flexible work schedules are possible.
About TU Delft: TU Delft is a world-renowned university that combines science, engineering, and design to address global challenges in areas such as energy, climate, mobility, health, and digital society. It values diversity, innovation, and collaboration to make a positive impact on a global scale.
How to Apply: Interested candidates should apply by October 30, 2023, through the online application portal. Please provide the following documents:
- Detailed curriculum vitae (CV) with the current status of your PhD, list of publications, and projects.
- Self-selected best scientific paper (journal or conference) relevant to this position.
- List of 2-3 references.
Notes:
- Cover letter and academic transcripts are not required at this stage.
- Applicants are encouraged to apply early, and late applications may not be considered.
- A pre-employment screening may be part of the selection procedure.
- Applications should be submitted online, and applications sent by email or post will not be processed.
Last Date for Apply: 30 October 2023
Join our pioneering research team and make a significant impact on materials discovery through machine learning!
