Job Summary & Key Responsibilities
The Post-Doctoral Fellow will develop and evaluate mechanized/precision agriculture systems (hardware and software), under the supervision of Dr. Travis Esau P.Eng, 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, insects (e.g. honeybees) are a component of this position.
- Work on several applied and basic research projects pertaining to precision agriculture technologies in agriculture production systems.
- Develop computer software for real-time variable rate agrochemical delivery systems (variable-rate sprayer and spreader), automated wild blueberry harvesting system, and deep learning machine vision technology (including mobile phone app development).
- Must be able to work individually and cooperatively as a member of a multi-disciplinary team.
- Involve in both laboratory and field plot experimentation throughout eastern Canada.
- Collaborate with various industry partners, producer organizations, researchers from other institutions and extension specialists throughout Eastern Canada.
- Expect to assume a role in research, technology transfer, and undergraduate and graduate student training.
- Maintain an open and active relationship with the contributing partners of this initiative and must possess a high level of integrity.
- Must demonstrate research productivity through multiple yearly publications in relevant refereed journals and through the dissemination of results at scientific, industry, and producer meetings.
Qualifications/Requirements of Position
Candidates with a Ph.D. in Mechanical engineering, computer engineering, software engineering, electrical engineering, computer science or mechatronics. 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; deep learning, C++, C sharp, Visual basic, Pascal, Matlab), ii) electronics, and instrumentation; (iii) analysis of multi-spectral and hyper-spectral images; (iii) applications of sensors and control systems and GPS (iv) excellent organizational, supervisory and communication skills is required.
Salary Range/Pay Rate
42000-46000 CAD per year
Dalhousie University is committed to fostering a collegial culture grounded in diversity and inclusiveness. The university encourages applications from Indigenous persons, persons with a disability, racially visible persons, women, persons of a minority sexual orientation and/or gender identity, and all candidates who would contribute to the diversity of our community. For more information, please visit www.dal.ca/hiringfordiversity.