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Student position for AI linking of solidification simulation with fatigue life
NRCan seeks an undergraduate or graduate student for a 2 year period between sept 2024 and March 2026 in the space of artificial intelligence, phase field modelling of solidification and data analytics for materials science. The project will focus on developing and utilizing AI algorithms to link simulated solidification microstructures produced by phase field modelling with mechanical properties of in the area of materials science. The successful applicant will be responsible for data preparation, coding and working with researchers to develop algorithms for simulation, data loading/preparation, and machine learning architecting. These developments will be applied to solidification simulation linkages to mechanical properties for application of microstructure to fatigue resistance in hydro based turbines.The student will have to use competency in running grand potential models to generate microstructures and to develop models to link to fatigue life.
At Natural Resources Canada, a Federal government job means developing leadership skills, fostering teamwork, and supporting creativity and innovation. We know it takes people from diverse pools of talent to make this happen. That is why we are looking for people like you. As an employee at Natural Resources Canada you can enjoy diverse employment opportunities, a range of career development programs, and a learning culture that supports you to learn on an ongoing basis. We support balancing your work and private life by offering the benefits of flexible work arrangements.
This position can be done remotely due to the nature of the work.
Positions to be filled: 1
Your résumé.
A covering letter "Short 1-page max letter indicating how your current or proposed work will tie in with the goals of this call."
Contact information for 1 references.
A list of the courses you have taken as well as any courses that you are taking now, or that you will be taking this academic year
Education:
- The Student must be currently enrolled in a Master’s Program at a recognized post-secondary academic institution with specialization in either physics or materials science and engineering. Proof will be required before the start date.
Experience:
- Have demonstrated experience, or work product, in applying machine learning or artificial intelligence techniques in the area of materials science.
In the context of student recruitment in the Federal Public Service, the experience can be acquired through the studies, work experience, or volunteer activities.
Asset Experience:
- Experience in using repositories to organize and version control scientific code.
- Experience in utilizing machine learning libraries.
English essential
Information on language requirements
Competencies:
Have demonstrated capacity to perform solidification simulations using grand potential phase field solidification modelling on adaptive meshes.
Asset Competencies:
Competence in programming in Python and C/C++ libraries.
Reliability Status security clearance - NOTE: Each student hired through the Research Affiliate Program (RAP) must meet the security requirements of the position as a condition of employment, and therefore will be asked by the hiring organization to complete security-relevant documents.
The Public Service of Canada is committed to building a skilled and diverse workforce that reflects the Canadians we serve. We promote employment equity and encourage you to indicate if you belong to one of the designated groups when you apply.
Information on employment equity
Reference checks may be sought.
An interview may be administered.
You must provide proof of your education credentials.
Persons are entitled to participate in the appointment process in the official language(s) of their choice.
For appointment processes where the area of selection was limited to Aboriginal peoples or to members of designated employment equity groups that included Aboriginal peoples, the Aboriginal candidates proposed for appointment or appointed must complete and sign the Affirmation of Aboriginal Affiliation Form as a condition of appointment prior to or at the same time as the offer of appointment, even if they have already self-declared as an EE member when applying.
A random and/or top down selection of candidates may be used in the determination of those to be given further consideration in the assessment process.
Candidates from outside the public service may be required to pay for travel and relocation costs associated with this selection process.
Successful completion of both a RAP work assignment and your educational program may lead to a temporary or permanent federal public service position for which you meet the merit criteria and conditions of employment.
Natural Resources Canada is committed to employment equity and building strength through diversity. We welcome applications from qualified people and encourage members of the designated groups (Aboriginal Peoples, Persons with Disabilities, Visible Minorities and Women) to apply and to self-identify.
For this selection process, it is our intention to communicate with candidates via email for screening and assessment purposes. This will include communication of screening results and invitations to written tests and interviews. To that end, candidates must include a valid email address in their application. It is the candidate's responsibility to ensure that this address is functional and that it accepts messages from unknown users (some email systems block these types of email). It is also the candidate's responsibility to ensure accurate information is provided and updated as required.
We thank all applicants for their interest in our position(s). For the purpose of this staffing process, only candidates selected for further assessment will be contacted
We thank all those who apply. Only those selected for further consideration will be contacted.