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Missile Defence Project Research Associate

1 day ago

Waterloo, Canada National Research Council Canada Full time

Priority may be given to the following designated employment equity groups: women, Indigenous peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.
- The _Employment Equity Act_, which is under review, uses the terminology Aboriginal peoples and visible minorities.

**City**: Waterloo

**Organizational Unit**: Digital Technologies

**Classification**: RO

**Tenure**: Term

**Duration: 1** year

**Language Requirements**: English

**Work Arrangements**: Due to the nature of the work and operational requirements, this position will require some physical presence at the NRC work location identified in the form of a hybrid work arrangement (a combination of working onsite and offsite).

**Discover the possible**:
Anything is possible at the National Research Council (NRC). As Canada’s leading research and technology organization, our world-renowned research pushes the boundaries of science and engineering to make the impossible, possible. Every day we explore new ideas through innovative research and help companies discover possibilities that impact Canada’s future and the world.

At the NRC, you’ll also discover new possibilities. Our supportive workplace fosters a culture of creativity, welcoming fresh perspectives and innovation at all levels. We value teamwork. You’ll collaborate across multiple fields and with the brightest minds to find creative solutions. Most importantly, you’ll discover what’s possible within you as you grow, make valuable contributions and progress in your professional journey. From ground-breaking discoveries to a life-changing career, discover your possible at the NRC.

**The Role**:
Any effective missile defence system will employ AI components. These may be for sensing, tracking, prediction, deploying countermeasures, controlling countermeasures, or any combination of these aspects. Given the high rate of change in the fields of AI algorithms and AI hardware, we need to both characterize the performance of existing algorithms and also to provide estimates of how this performance changes with different implementations, including predicted future hardware.

Object identification and tracking can often be made easier by integrating different sensing modalities. However, redeployment of a finite number of heterogeneous sensors comes with opportunity costs. We will explore optimal sensor deployment and dynamic resource re-tasking by formulating the object identification and tracking problem as an information gathering problem. We will develop probabilistic models of available sensors for integration into a Bayesian decision-making framework that will determine which sensors to use and where to deploy them.

We are looking for an early-career Missile Defence Project Research Officer to support our Digital technologies Research Centre (DT). The Research Officer would be someone who shares our core values of Integrity, Excellence, Respect and Creativity.

**The Role (Continued)**:
The RO activities in support of program area objectives may include:

- Advance NRC expertise in field of research through the identification, championing, and completion of research projects that are significant additions to the existing body of knowledge with the field;
- Secure receptors and clients by identifying opportunities, participating in business development and marketing activities, and building collaborations with local, national and international organizations;
- Analyze and identify client requirements and prepare project proposals including estimates of time and budget;
- Plan and conduct innovative experiments which may require designing new equipment, experimental techniques, overseeing experimental set-up, supervising data collection, and investigating emerging technologies to achieve Portfolio/Program research objectives;
- Oversee data production and ensure data quality, conduct data analysis, and prepare research reports;
- Produce reports and/or publications on results of research projects;
- Provide scientific expertise and act as a technical resource to relevant Canadian stakeholder communities, and various other internal and external stakeholders;
- Lead or contribute to the development of new facilities, infrastructure, or tools;
- Lead or contribute to the development of new experimental procedures or standards which may include active participation in committees or national or international organizations; and

**Screening Criteria**:
**Education**:
PhD in a relevant area of expertise such as computer science, electrical and computer engineering, math, physics, or a related field.

An equivalency of a Master’s Degree in Engineering combined with work experience in research or technology development related to the position may be considered.

For information on certificates and diplomas issued abroad, please see Degree equivalency

**Experience**:

- Experience with Bayesian modelling and inference.
- Experience characterising machine learning mo