Postdoctoral Fellow - Machine Learning (Amii and Mila)

at  University of Alberta

Edmonton, AB, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate23 Dec, 2024Not Specified27 Sep, 2024N/AOptimization,Machine Learning,Publications,English,Learning,StatisticsNoNo
Add to Wishlist Apply All Jobs
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – 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