Research Associate, Ai for Battery Materials

Help bring research to life and drive your career forward with the National Research Council of Canada (NRC), Canada's largest research and technology organization.

We are looking for an early-career Research Associate (RA) in AI for Battery Materials Discovery to support our collaborative R&D Initiative project within Digital Technology (DT) and Security and Disruptive Technology (SDTech) Research Centres in collaboration with Mila - Quebec Artificial Intelligence Institute. The RA would be someone who shares our core values of Integrity, Excellence, Respect and Creativity. The RA will work on a** 3-year project led by Prof. Yoshua Bengio.**

**About Battery Materials Discovery**:
Work in a cluster of experts which includes Nobel prize winners. The Battery Materials Discovery project offers an excellent position in a very promising field with high impacts on society. The research has significant potential to help government and companies with a far-reaching, long-term perspective to contribute to society. Our collaborative environment is friendly and inclusive.

**About the Digital Technologies Research Centre**
We make digital technologies smarter and more intuitive for Canadians and Canadian businesses by exploring uses of data and information in innovative and meaningful ways to solve real problems.

Our focus is advanced analytics, computer vision, natural language processing and artificial intelligence technologies.
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**About the Security and Disruptive Technology Research Centre**
Our researchers are experts in quantum photonics, cutting edge security materials technologies and attosecond science. We collaborate with Canadian and international research labs, industry and academia to build the emerging technology platforms that will sustain Canada's industrial competitiveness well into the future.
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**Why work with us**
We collaborate with industry, academia and government to research, discover, de-risk, develop and commercialize advanced software technologies.

We work with all players in digital technologies, in Canada and internationally:

- Start-ups
- Small and medium sized enterprises
- Multinationals
- Research organizations
- Universities
- Government departments

We provide new platforms that can be applied in a wide range of industries in technology areas such as:

- Nanotechnology
- Quantum technologies
- Electronic materials and additive manufacturing

We offer scientific and engineering expertise in nanomaterials synthesis, printed electronics (2D-3D printing), nanocomposites, electronic and fibre photonic sensors, quantum information and security, quantum theory, and state-of-the-art ultra-fast spectroscopy in addition to access to unique prototyping facilities.

We work with key collaborators in both industry and in other research organizations to:

- Accelerate the development of innovative technologies
- Validate technologies for robustness and manufacturability
- Help reduce risk and lead time to turn innovation into products
- Work with defence and security partners as early adopters of disruptive technologies
- Focus on medium and long-range initiatives
- Translate global science and engineering advances into validated technology opportunities for Canadian industry.

**Screening Criteria**:
**Education**:
PhD degree in Machine Learning, Physics, Materials Science, or a related field

To be considered as part of the Research Associate Program you must have received your PhD degree in Machine Learning, Physics, Materials Science, **or a related field within the last five years or you expect to receive the degree within the next six months.**

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

**Experience**:

- Experience with a strong theoretical background working with quantum mechanics, solid state physics and electrochemistry.
- Experience working with machine learning, deep learning, and (geometric) graph modeling.
- Significant experience in numerical simulation of materials science, including quantum mechanical computations on the solid-state and/or electrochemical materials properties.
- Experience and a good understanding of material selection and structure design.
- Experience in working in multi-disciplinary teams, including with experimental materials scientists and computer scientists.
- Experience managerial research activities including project management, data production and analysis, and reporting through written documentation, presentations and publishing.

**Condition of Employment**:
Reliability Status

**Language Requirements**:
English

Information on language requirements and self-assessment tests

**Assessment Criteria**:
**Technical Competencies**:

- Advanced knowledge of battery materials systems and computational modeling using density functional theory and/or large-scale molecular dynamics computations, including familiarity with widely used software packages as demonstrated by publication history.
- Strong