Career Opportunities

ASSOCIATE SCIENTIST in Artificial Intelligence for Remote Sensing Applications

The successful candidate(s) will conduct R&D in remote sensing with special interest in Artificial Intelligence and will be expected to participate actively in technology development and application projects.

Qualifications

• A recent Bachelor degree with Hons. / Masters in physics, engineering, applied mathematics, statistics, data science or a relevant discipline from a reputable university.
• Experience and skill in scientific and engineering computing.
• Basic fluency in a programming language (e.g. Fortran, C, Python).
• On-the-job training will be provided but some knowledge or experience in Artifical Intelligence will be advantageous.
• Knowledge of remote sensing and geospatial data processing will be a distinctive advantage.
• Willingness to work towards both scientific and operationally oriented goals.

Application

Remuneration will be commensurate with qualifications and experience. Leave and medical benefits will be provided. CPF contributions (where applicable) will also be provided. Interested candidates are encouraged to submit a CRISP job application form, a cover letter and a personal CV/resume. A letter of recommendation from your B.Sc/M.Sc thesis advisor (if any) will be very helpful. Application forms may be downloaded at his site (near bottom of page). Completed Softcopy forms should be E-mailed to:

Dr Liew Soo Chin
Head of Research
Email: crslsc@nus.edu.sg

Hardcopies may also be sent to:

Centre for Remote Imaging Sensing and Processing
National University of Singapore
Blk S17, Level 2
10 Lower Kent Ridge Rd
Singapore 119076

All applications should reach us by 19 July 2010. Only shortlisted candidates will be notified.

ASSOCIATE SCIENTIST in 3D Radiative Transfer Modeling for Solar Applications

The successful candidate will conduct R&D in environmental/atmospheric/climate modelling and will be expected to participate actively in remote sensing technology development and application projects. He/she will receive an appointment at CRISP's atmospheric research group. The initial appointment will be for two years renewable for a further one year. Further employment prospects at CRISP would depend on performance and funding.

Job Description:

CRISP in collaboration with the Department of Electrical and Computer Engineering (ECE, NUS), the Solar Energy Research Institute of Singapore (SERIS) and the Meteorological Service of Singapore (MSS) will be taking on a research project titled “Advanced Solar Power Forecasting for safe and reliable PV grid integration in Singapore”. CRISP’s participation on this project involves the development of advanced pseudo-dynamic, cloud coupled 1D/3D radiative transfer algorithms for short and medium term solar irradiance forecasting. The chosen candidate will be working on the experimental part of the above mentioned project. Part of the project involves working and maintaining ground-based instrumentation such as scanning lidar and sky radiometers as well as participating on the development of 1D/3D radiative transfer models and cloud-motion algorithms based on satellite imagery and ground data.

Qualifications

• A recent M.Sc. / B.Sc. In physics, atmospheric/environmental sciences from a reputable university.
• Knowledge of 1D/3D radiative transfer and cloud dynamics will be a distinctive advantage.
• Willing to maintain, troubleshoot and deploy ground instruments.
• Basic fluency in Fortran 77/90 a UNIX/Linux environment. Familiarity with IDL/MatLab would be a plus.
• The ability to communicate effectively (verbal and written) and work effectively independently and in a team environment.
• Willingness to work towards both scientific and operationally oriented goals.

Application

Remuneration will be commensurate with qualifications and experience. Leave and medical benefits will be provided. CPF contributions (where applicable) will also be provided. Application forms may be downloaded at this site. Interested candidates are encouraged to submit a CRISP job application form, a cover letter and a personal CV/resume. A letter of recommendation from your B.Sc/M.Sc thesis advisor will be very helpful. All materials may be sent electronically (PDF format) to Dr. Santo V. Salinas C. (e-mail: crsscsv@nus.edu.sg). Letters of recommendation should be mailed directly by your adviser and/or recommender’s to:

REF : SOLAR/EMA

Dr. Santo V. Salinas C.
Centre for Remote Imaging Sensing and Processing
National University of Singapore
Blk S17, Level 2
10 Lower Kent Ridge Rd
Singapore 119076

All applications should reach us by 19 July 2010. Interviews will be held soon after the application deadline. Only shortlisted candidates will be notified.