Research Fellow (Applied Mathematics)

As a Research Fellow in Applied Mathematics at NTU, you will engage in a variety of responsibilities that include obtaining rigorous mathematical results pertaining to optimization, geometry, and data science. You will also design, implement, and test algorithms vital to advancements in learning and robotics. Additionally, you'll participate in scientific exchanges with collaboration partners and prepare comprehensive reports, scientific papers, and presentations to disseminate your findings effectively.

To qualify for the Research Fellow position in Applied Mathematics at NTU, candidates must hold a PhD in mathematics, physics, computer science, or a closely related engineering field. Moreover, research experience in areas like geometry, optimization, or machine learning is essential, along with a demonstrated potential for research excellence. Strong communication skills and a background in programming languages are also necessary for implementing relevant algorithms.

The core focus of the research project for the Research Fellow position at NTU is titled 'Geometric Optimization and Design in Learning and Robotics.' This project aims to advance the understanding of optimization techniques in conjunction with geometric principles and data science, all while creating innovative solutions applicable to the field of robotics.

Yes, having experience with programming languages relevant to the project is a requirement for the Research Fellow position in Applied Mathematics at NTU. This experience is crucial for the successful design and implementation of algorithms that you will develop as part of the research agenda.

NTU is committed to creating a diverse and inclusive workforce. The institution promotes equality of opportunity, welcoming applications from individuals of all backgrounds regardless of age, race, gender, religion, marital status, family responsibilities, or disabilities, ensuring that recruitment is based solely on merit.

When answering this question, highlight specific projects where you utilized optimization methods. Discuss the techniques you applied, the problems you aimed to solve, and the outcomes achieved. Tailor your experience to showcase relevance to the tasks expected of a Research Fellow at NTU.

Provide examples of algorithms you have implemented in your past research. Discuss the context in which they were applied, the results they yielded, and how they align with the goals of the position at NTU focused on robotics and data science.

Choose a specific example that showcases your problem-solving skills. Explain the problem, your approach to it, the mathematical techniques you employed, and the ultimate impact of your solution, ensuring it reflects the advanced techniques relevant to the role at NTU.

Emphasize your method for staying updated, such as following academic journals, attending conferences, or participating in online courses. Being proactive in learning reflects your commitment to research excellence, aligning with the expectations of a Research Fellow role at NTU.

Demonstrate your ability to simplify complex concepts by using relatable analogies or visual aids. Explain your approach towards effective communication, emphasizing clarity and the importance of adjusting your language to the audience’s level of expertise.

Share your personal passion for the subject, and highlight any experiences that ignited your interest in learning and robotics. Discuss your vision of how your research can contribute to advancements in the field, which will resonate with the goals of NTU’s research project.

Discuss a specific collaborative project, highlighting your role, the team's dynamics, and the outcomes of your joint efforts. Stress the importance of teamwork, especially in relation to NTU's culture of collaborative research.

Mention skills like analytical thinking, problem-solving, proficiency in programming, and strong communication abilities. Relate these to the duties of the Research Fellow role at NTU, depicting how they help in achieving successful results in research.

Outline your systematic approach to algorithm design, including problem identification, iterative testing, and data analysis. Relate these methods to the specific expectations of the Research Fellow role at NTU, showcasing your ability to innovate and refine.

Articulate your career aspirations and how they align with NTU’s mission. Focus on your desire to contribute to influential research and develop groundbreaking applications in learning and robotics, showcasing your commitment to the field.