Tenure-track Assistant Professor

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Tenure-track Assistant Professor

Nanyang Technological University
Country of Position: 
Contact Name: 
Chairman, School Search Committee (Information Engineering)
Subject Area: 
Signal Processing Theory and Methods
Machine Learning for Signal Processing
Big Data
Internet of Things Special Interest Group
Start Date: 
January 04, 2018
Expiration Date: 
August 31, 2018
Position Description: 

Tenure-track Assistant Professor in Information Engineering

Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked 11th globally. NTU is also placed 1st amongst the world's best young universities and ranked 4th globally for Engineering and Technology.

Established in 1981, the SCHOOL OF ELECTRICAL AND ELECTRONIC ENGINEERING (EEE) is one of the founding Schools of NTU. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 150 faculty members and an enrolment of more than 4,000, of which about 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 6th in the field of Electrical & Electronic Engineering in the 2017 QS World University Rankings by Subject.

Join the SCHOOL OF EEE as a faculty member and embark on a challenging and exciting career in research innovations and discoveries and teaching excellence, so as to prepare engineering leaders of the future. 

The School invites outstanding applicants for a Tenure-track Assistant Professor position with specialisation in the field of Information Engineering. 

Applicants should possess the following qualification and attributes:

  • A Ph.D. degree in Electrical Engineering, Computer Science or a relevant discipline, with an outstanding scholarship record and a strong commitment to excellence in research and teaching.
  • Strong background in the broad area of Information Engineering, preferably having expertise in one or more of the following (but not limited to):
    1. Learning and inference, e.g., fundamental limits, sequential learning, information-theoretic learning, distributed and cooperative learning, adaptive sensing, etc.
    2. Data science and big data analytics, e.g., distributed inference, dimensionality reduction, non-parametric methods, model selection, data fusion, etc.
    3. Machine learning and artificial intelligence, e.g., deep learning techniques and theory, Bayesian learning, cognitive information processing, etc.
    4. Advanced and emerging areas of signal and information processing, e.g., graph signal processing, network inference, reinforcement learning, etc.
  • Ability and strong drive to lead and contribute to inter-disciplinary research and large-scale projects for key applications (communications, advanced sensing, Internet of Things, social networks, biomedical engineering, etc.)
  • Fresh Ph.D. graduates from reputable universities with outstanding research track record would be considered.
  • Candidates with postdoctoral or relevant working/teaching experience in top research institutes or universities would be preferred.

Emoluments and General Terms and Conditions of Service:
Salary will be competitive and will commensurate with qualifications and experience. The University offers a comprehensive fringe benefits package.

Apart from the attractive remuneration package, each successful candidate will also receive a start-up package of at least S$300,000 comprising $100,000 (for equipment, manpower, travel etc) and about S$200,000 scholarship to fund a graduate student (PhD) for 4 years. 

Application Procedure:

IMPORTANT -- Please indicate clearly the post applied for (i.e. Tenure-track Assistant Professor in Information Engineering) when submitting an application or inquiring about this job announcement.

The "Guidelines for Submitting an Application for Faculty Appointment" is available at: http://www.ntu.edu.sg/ohr/career/submit-an-application/Pages/Faculty-Positions.aspx  

Please ensure that all requested information is enclosed in your application and send via email to Chairman, School Search Committee (Information Engineering) c/o School of  Electrical & Electronic Engineering (EEE-Fac-Recruit@ntu.edu.sg)

Electronic submission of applications is encouraged.  Only short-listed candidates will be notified.

Position Start Date: Available Immediately

Closing Date: Until Position Filled​

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