Dalhousie is a leading, research-intensive Canadian university offering a wealth of programs through diverse faculties. With campuses located in Halifax and Truro, Nova Scotia, as well as a Medical School site in Saint John, New Brunswick, Dalhousie has more than 6,000 faculty and staff who make up the university’s energetic academic community. Dalhousie is proud to be named one of Canada’s Top 100 Employers for 2012 and 2013.
The Faculty of Agriculture, Dalhousie University is a small research-intensive campus located in Truro, NS. Offering technical, undergraduate and graduate programs in agriculture, environment and related life and social science disciplines, the Faculty of Agriculture educates future leaders and generates knowledge and innovative solutions for healthy, sustainable societies.
POSITION SUMMARY: Under the supervision of Dr. Qamar Zaman, the Postdoctoral Fellow will develop and evaluate precision agriculture systems (hardware and software) to improve crop yield and technology transfer activities. They will participate in a combination of field and laboratory research and will be required to complete extensive travel throughout the Atlantic region. Periodic exposure to allergy constituents including dust and insects (e.g. honeybees) are a component of this position.
Requirements: Work on several applied and basic research projects pertaining to precision agriculture technologies in agriculture production systems. Develop automated ground sensing system (hardware and software) for wild blueberry harvester Develop computer software for real-time variable rate agrochemical delivery systems (variable rate sprayer and spreader) Must be able to work individually and cooperatively as a member of a multi-disciplinary team. Collaborate with various industry partners, producer organizations, researchers from other institutions and extension specialists throughout Eastern Canada. Demonstrate research productivity through publication in relevant refereed journals and through dissemination of results at scientific, industry and producer meetings.
Qualifications: Candidates must have a Ph.D. in mechatronics engineering, computer engineering, mechanical engineering or electrical engineering. Proven ability in written and verbal communication skills is necessary. The successful candidate will be expected to be innovative, creative and solutions-oriented. Knowledge/special skills required for the position include (i) training in software development (computer programming; C++, C sharp, Visual basic, Pascal, Matlab); (ii) analysis of multi-spectral and hyper-spectral images; (iii) applications of sensors and control systems and GPS (iv) electronics and instrumentation; and v) excellent organizational, supervisory and communication skills