Postdoctoral Fellow - Machine Learning (Amii and Mila)
at University of Alberta
Edmonton, AB, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 25 Dec, 2024 | Not Specified | 26 Sep, 2024 | N/A | English,Publications,Statistics,Optimization,Machine Learning,Learning | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
Department Faculty of Science - Computing Science
Hours per week -
Posted date September 4, 2024
Closing date Will remain open until filled.
Position Type Full Time
DESCRIPTION
This position is open for an immediate start, is two years in duration and offers a benefits package found at Postdoctoral Fellows Benefits.
Location - The position will begin as a hybrid in Edmonton, Alberta. Due to the collaborative nature of this project, the postdoctoral fellow may spend periods of time both at the University of Alberta and at the University of Montreal. However, accommodations for personal life events will be possible.
POSITION
We are seeking a postdoctoral researcher for a collaborative project jointly led by Prof Nidhi Hegde (University of Alberta, Amii) and Prof Dhanya Sridhar (Université de Montréal, MILA) and funded through the Canadian Institute for Advanced Research (CIFAR).
The focus of the project is on strategic classification and causal models. In particular, we aim to study long-term fairness and develop robust learning algorithms in a strategic classification framework.
The selected candidate will benefit from the motivating environments at both the Alberta Machine Intelligence Institute (Amii) and Mila - Quebec Artificial Intelligence Institute. Both institutes and affiliated universities offer numerous opportunities for professional development for postdocs to carve their paths, whether in academia or industry.
MINIMUM QUALIFICATIONS
- PhD in computing science or a related area, with a focus on machine learning and statistics
- Evidence of high-quality research, such as publications in relevant top-tier venues
- Effective communicator in English, both written and spoken
PREFERRED QUALIFICATIONS
- Expertise in optimization and theory in machine learning and causal learning is an asset
IN YOUR COVER LETTER, SUMMARIZE YOUR PAST WORK, LINK TO A REPRESENTATIVE PUBLICATION WITH A DESCRIPTION OF IT, AND INCLUDE A LIST OF THREE REFERENCES.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. If suitable Canadian citizens or permanent residents cannot be found, other individuals will be considered.
We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.
The University of Alberta is committed to an equitable, diverse, and inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply
Responsibilities:
- Participate in research on the above theme
- Work with and potentially co-supervise students
- (Co)-write high-impact scientific publications
- Present your work at top-tier conferences
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Education Management
Teaching / Education
Software Engineering
Phd
Proficient
1
Edmonton, AB, Canada