Science Division, Yale-NUS College

503 9081
Position ID:YaleNUS-Science Division-ASSISTANTPROFESSOR [#9081]
Position Type:Tenured/Tenure-track faculty
Position Location:Singapore, Lower Kent Ridge 119077, Singapore [map]
Subject Areas: Computer Science / artificial intelligence ,, computer animation and virtual environments, cyber-physical systems, distributed and embedded systems, human-systems integration, network security and privacy, Imaging, Robotics, Algorithms, Architecture, Artificial Intelligence, Cloud Computing, Compilers, Computational Biology, Computational Geometry, Cryptography, Data Mining and Information Retrieval, Databases, Distributed Systems, Education, Emerging Technologies, Formal Methods, Game Theory and Economics, Graphics, Human-Computer Interaction, Information adn Coding Theory, Machine Learning, Scientific Computing, Security, Sensor Networks, Social Networks, Software Engineering, Speech Processing, Economics and Computation, Networking, Operating Systems, Theory of Computing, Programming Languages, modeling and simulation, gaming, Probabilistic Reasoning, Evolutionary Computing, Data Mining, Game Design, Information Retrieval, Information security, Data Processing, Computer Architecture, Networks, Systems, Theory, system security, human-computer-interaction, Computer Science Education, Information Visualization, Visual Analytics, computer science theory, Health IT, Computational Perception, Information Security and Privacy, Natural Language Processing, Computational Linguistics, Ubiquitous Computing, Social Computing, Computational Organizational Science, Scientific Visualization, Computer Graphics, Cognitive Science, Learning Science and Technology, All areas, Big Data, Computer Vision, Complexity, Architecture and embedded systems, Education and game design, Languages/Logics/Compilers, Computational Biology/Bioinformatics, Scientific Computing/HPC, Other, Distributed Algorithms, Cognitive Systems, Learning at Scale, Computer Games, Statistics, Applied Math/Optimization, Interaction Design, Social Sciences, Public Policy, Data-rich Marketing Analytics, Large-Scale Digital Media Production, Distribution and Analysis, Mathematics, Statistics and Computer Science, Software Engineering and Systems, Data Science, Visual Computing, Teaching Stream Appointment, Mobile Computing, Natural Language Processing, Augmented Reality, Computational Science, Big Data Management, Big Data Analytics, Data-Driven Applications
Mathematics / Statistics
Starting Date:2017/04/12
Appl Deadline:2017/05/31 (posted 2017/04/11, listed until 2017/10/11)
Position Description:    

Yale-NUS College, a collaboration between the National University of Singapore (NUS) and Yale University, seeks to hire a tenure-track faculty member active within the fields of computer science, statistics and/or data science. Yale-NUS College also encourages applicants whose research and teaching cross traditional disciplinary boundaries.

Applicants should be active researchers with a commitment to creative and effective undergraduate teaching and mentoring within their specialties ( and in the Yale-NUS Common Curriculum ( Candidates are also encouraged to indicate ways in which they might supervise undergraduate research.

Salary, benefits, and leave policies will be competitive at an international level. Yale-NUS College is committed to supporting faculty research through start-up grants, research and travel allowances, institutional assistance with proposal preparation, and administration of external grant funding.

Review of applications will continue until the positions are filled. Short-listed candidates will be invited for on-campus visits. Enquiries should be made to Divisional Manager, Ms. Aniza A. Wahid at For more information about Yale-NUS College, please visit our website at:

Yale-NUS College values diversity and is committed to equality of opportunity. For additional information about the College and the faculty hiring process, including submission guidelines, and to apply, please visit our website at: To directly access the application portal, please visit:

Candidates should understand that by sharing information with Yale-NUS College, they authorize Yale-NUS College to use their personal data for the purposes of this application. Yale-NUS College will not use their data for any purposes beyond those relevant to the application process; their data remain secure and confidential.

Application Materials Required:
Submit the following items online at this website:
And anything else requested in the position description.

Further Info:
YALE-NUS College
Yale University
P.O. BOX 208377
NEW HAVEN, CT 06520-8377

© 2017 AcademicJobsOnline.Org. All Rights Reserved.