Nanyang Assistant Professor

4 days ago


Singapur, Singapore Nanyang Technological University Singapore Full time

Join to apply for the Nanyang Assistant Professor (Tenure-Track) role at Nanyang Technological University Singapore

1 month ago Be among the first 25 applicants

Join to apply for the Nanyang Assistant Professor (Tenure-Track) role at Nanyang Technological University Singapore

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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.
A hot bed of cutting-edge technology and groundbreaking research, the college aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.
We invite qualified and passionate academics to apply for a tenure-track Nanyang Assistant Professor position in College of Computing and Data Science. We seek individuals with exceptional promise for or a proven record of research achievements within their chosen field of research. They should also demonstrate strong ability for effective undergraduate and graduate level teaching. Candidates must have vision and an interest in defining the research frontier as well as educating our next-generation of young leaders in this rapidly evolving field. Candidates should also demonstrate the ability to combine theoretical knowledge with practical development of computational solutions and systems.
The Position Is Open For Candidates Working In All Areas Of Computer Science And Engineering. However, We Are Particularly Interested In Candidates Working At The Frontiers Of The Following High Priority Areas

  • Probabilistic programming, Artificial intelligence, Computational Cognitive Science, Value Alignment, Cooperative intelligence
Responsibilities
  • Research: The appointee is responsible for conducting high-quality innovative research, publishing top-tier papers, securing competitive research grants, and supervising research personnel.
  • Teaching: The appointee is expected to conduct competent undergraduate and graduate level teaching, including development of course materials, delivery of lectures and tutorials, grading assignments and exam papers, providing feedback to students, and academic supervision of undergraduate and graduate student projects.
  • Service: The appointee is expected to undertake responsibly assigned administrative services in the school and university, such as servicing on committees and mentoring students.
Requirements
  • You should possess a PhD in related disciplines from a well-recognized university.
  • You have demonstrated exceptional promise for or a proven record of research achievements within the chosen field of research and strong ability for effective undergraduate and graduate level teaching
  • You are able to lead and work as part of a multidisciplinary team
  • You are able to supervise research staff and students through effective communication
  • You should ideally possess strong presentation skills
Review of applications and shortlisting decision will be on an on-going basis until the positions are filled. Interested applicants are invited to submit their applications through the NTU career portal by clicking the “Apply” button. To facilitate the process, please submit the following documents if applicable.
  • Full Curriculum Vitae
  • Statement of Teaching and Research
  • Research sample(s)
  • Letters of Recommendation(s)

Hiring Institution: NTU
Seniority level
  • Seniority level Entry level
Employment type
  • Employment type Full-time
Job function
  • Job function Education and Training
  • Industries Higher Education

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