One Ph.D Position at VinUni Center for Environmental Intelligence: AI-enabled Materials Discovery
Open date: 09/11/2023 – Closing date: Until filled
At the heart of our mission lies the emphasis on creating innovative solutions for materials discovery and deployment in Vietnam. The VinUni Center for Environmental Intelligence (CEI) is pioneering advancements in applying AI in various aspects of materials discovery, utilization, and recycling that are adapted to Vietnam context and benefit the country and the world.
We are looking for individuals who are passionate about achieving excellence, open to interdisciplinary research, eager to embrace innovation, and dedicated to making a meaningful impact. If this resonates with you, you’ve come to the right place.
PhDs in AI-enabled Materials Discovery Project
The purpose of the program is to develop Ph.Ds in Computer Science and Engineering with:
- A high level of expertise, practical knowledge and advanced, intensive theory;
- Skills to synthesize and analyze information, discover and solve problems creatively;
- Critical thinking skills, independent research capability, skills to create and disseminate new knowledge and establish a national and international cooperation network in professional activities.
The innovative project in AI-enabled Materials Discovery focuses on:
- Designing and optimizing intelligent algorithms for the discovery and design of new materials.
- Applying real-time analytics and machine learning techniques to predict material properties and performance.
- Developing scalable computational methods for the high-throughput screening of materials for real-life applications with high energy efficiency and minimal environmental impacts.
- Facilitating the integration of advanced computational tools with experimental research to accelerate the development of materials for sustainable energy technologies.
The candidate will be required to complete training courses at VinUni and immerse in hands-on research and development to formulate and deploy cutting-edge solutions in material discovery. They will be involved in various project facets, working closely with team members in Physical Sciences in Optimization of Material Synthesis, Predictive Analytics for Material Performance, and Sustainable Integration with Energy Systems.
Key responsibilities will encompass conducting comprehensive literature reviews to establish the current state-of-the-art of AI in Materials Research, designing and executing experiments and simulations, engaging in collaborative and independent research tasks that drive the project forward, and presenting findings at the international conferences and contributing to peer-reviewed publications.
Qualifications:
- Master’s in Computer Science or related fields;
- Demonstrated strong analytical skills, with a preference for candidates with industry experience;
- Strong commitment, teamwork, critical thinking, and motivation;
- Fluent written and verbal communication skills in English;
- Optional: knowledge of AI/ML or keen to learn.
Benefits Await You at CEI
- An inspiring learning environment: At CEI, we offer PhD students direct access to world-class researchers for mentorship.
- Cutting-edge facilities: CEI provides state-of-the-art facilities to support your research.
- Impact-driven projects: Collaborate with many industry partners through our Partnership Program to make your ideas a reality.
- Competitive package: A 12-month salary (approximately 10,000 USD/year), and possibly receive Vingroup Scholarship Program for Overseas Study for Master’s and Doctoral Degrees to spend at the VinUni’s partners.
- Diverse community: Join a multicultural family with 30+ nationalities and networking events.
- Career growth: Access free career resources and extracurricular activities
How to apply
Applications should be submitted in English to https://vinuni.edu.vn/phd/#. The required documents can be found at https://vinuni.edu.vn/phd/#how-to-apply.
For further information, please contact our CEI office at cei@vinuni.edu.vn, and copy Dr. Nguyen Dang Tung (tung.nt2@vinuni.edu.vn) and Dr. Le Duy Dung (dung.ld@vinuni.edu.vn).