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Scientific Engineer-1
2 weeks ago
Job Category
M&P - AAPS
Job Profile
AAPS Salaried - Scientific Eng., Level A
Job Title
Scientific Engineer-1
Department
Support | Institute for Computing, Information and Cognitive Systems | Faculty of Applied Science
Compensation Range
$5, $7,294.50 CAD Monthly
The Compensation Range is the span between the minimum and maximum base salary for a position.
The midpoint of the range is approximately halfway between the minimum and the maximum and represents an employee that possesses full job knowledge, qualifications and experience for the position.
In the normal course, employees will be hired, transferred or promoted between the minimum and midpoint of the salary range for a job.
Posting End DateJanuary 26, 2023
Note:
Applications will be accepted until 11:59 PM on the day prior to the Posting End Date above.
Job End Date
Jan 31, 2024
Job Summary
This position is linked to research on the design, fabrication, testing and analysis of the performance of ultrasound transducers for medical ultrasound imaging.
The incumbent is responsible for planning and advising on the theoretical and engineering aspects of the research project on novel quantitative ultrasound imaging techniques invented at UBC.
Typical duties include providing solid background information on ultrasound transducers and engineering and theoretical expertise in the field of signal and image processing, justifying the research path, and supporting analysis of experimental and simulated ultrasound data.
This information must contain studies on ultrasound transmission and reception performance criteria and also engineering methods to optimize these criteria to achieve the highest performance of the devices.
Modelling and analysis will be performed in the optimization process.The collecting, processing and interpreting of the experimental ultrasound data will be based on theory and used to verify the simulated model in software.
The incumbent will also write software to process raw ultrasound data and create images. The incumbent will also advise peers on the optimalOrganizational Status
The Institute for Computing, Information and Cognitive Systems (ICICS) is an interdisciplinary unit at the University of British Columbia Vancouver campus.
Work Performed
- Provides theoretical expertise and background information for the project and conducts a research path;
- Provides advice and assistance to peers on ultrasound transducer design and performance;
- Builds a simulation model for performance of ultrasound transducers using numerical and analytical methods in simulation tools;
- Collects, processes and interprets experimental data in a lab environment from variety of projects to verify simulation results and the developed model;
- Employs developed model to optimize performance of ultrasound transducers;
- Works with coop and graduate students to advise them on the theoretical aspect of the research and experimental work in the lab environment;
- Creates reports related to the research data and manuscripts for publication;
Accountability is governed by the general guidelines of the profession, including but not limited to: exercising a considerable amount of judgment, responsibility, and initiative in determining work procedures and methods; developing and reviewing the project schedule milestones and completion, ensuring communication between members; exercising judgment in making technical decisions and recommendations towards defining research infrastructure and operation procedures for lab equipment.
Works independently within research objectives; position reports to Dr. Robert Rohling. Assignments are given according to project requirements and objectives.
Supervision Given
May give guidance and direction to short-term contributors including graduate students, undergraduate students, and technical staff in carrying out experiments or technical work.
Undergraduate degree in Engineering or Applied Science. Minimum of one year of related experience, or the equivalent combination of education and experience.
Preferred Qualifications
Masters degree in Electrical and Computer Engineering preferred. Ability to coordinate workflow and work independently with mínimal supervision. Ability to communicate effectively in a professional group and
present strong team working skills. Strong organizational, analytical, and scientific oral/writing skills.
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