Postdoctoral Fellow - Machine Learning in Medicine

ITE University of Alberta Student Chapter; Edmonton; Hybrid; CAD 60,000 - 100,000; Full time

Job summary

An innovative institution is seeking a talented Postdoctoral Fellow specializing in Machine Learning in Medicine. This role involves conducting cutting-edge research in medical informatics, focusing on epidemiology and personalized treatment effects. Collaborate with a dynamic team, contribute to high-impact publications, and present findings at leading conferences. The position offers a flexible work environment, including in-person, hybrid, or remote options. Join a community dedicated to making significant advancements in healthcare through technology and research.

Benefits

Benefits package

Flexible work options

Collaborative research environment

Qualifications

• PhD in Computing Science or related area focusing on machine learning.
• Evidence of high-quality research with publications in top-tier venues.

Responsibilities

• Participate in research and direct several projects.
• Collaborate with colleagues in machine learning and healthcare.

Skills

Machine Learning

Statistics

Effective Communication

Medical Informatics

Education

PhD in Computing Science

Job description

Postdoctoral Fellow - Machine Learning in Medicine

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Postdoctoral Fellow - Machine Learning in Medicine

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Postdoctoral Fellow - Machine Learning in Medicine

Competition 845

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Department Faculty of Science - Computing Science

Posted date April 24, 2024

Closing date Will remain open until filled.

Position Type Full Time

Description

This position has an end date of May 31, 2026, and offers a benefits package found at Postdoctoral Fellows Benefits.

Location - This role can be in-person, hybrid, or remote.

Working at the University of Alberta

The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Métis, Inuit and all First Peoples of Canada, whose presence continues to enrich our vibrant community.

The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to more than 14,000 faculty and staff, over 40,000 students and 260,000 alumni worldwide.

Your work will have a meaningful influence on a fascinating cross-section of people — from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. Learn more.

Working for the Department of Computing Science

Founded in 1964, the Department of Computing Science at the University of Alberta is the oldest and one of the largest computing science departments in Canada. We have an international reputation for contributions in the many fields of computing, both in foundations and applications. The Department currently consists of 51 faculty members, approximately 326 graduate students, 20 post-doctoral fellows and research associates, 1,352 undergraduate students and 12 administrative staff. Our research partners come from a wide variety of industries and other academic disciplines.

Position

We are looking for a talented, knowledgeable and ambitious candidate to research several interesting medical-informatics tasks related to epidemiology (population disease forecasting) and bio-chemical analysis, as well as foundational topics, especially survival prediction and counterfactual reasoning, towards effectively learning personalized treatment effects. You will be working with the Greiner Lab at the University of Alberta & the Alberta Machine Intelligence Institute (Amii).

Duties

• Participate in relevant research and direct several projects
• Work with (and perhaps co-supervise) various students
• Collaborate with many colleagues, in both machine learning and medicine/healthcare
• (Co)write high-impact scientific publications
• Present your work at leading conferences
• Develop tools that can be used by researchers and practitioners
  
  

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
• Experience in Medical Informatics is an asset
  
  

Application Instructions

Please submit your curriculum vitae, list of publications, references, and cover letter. Please ensure that your cover letter summarizes your past work and insights on medical informatics and outlines specific future directions.

At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.

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.

All University employees have a responsibility to foster a workplace that prioritizes safety in all its forms—physical, cultural, and psychological. This is achieved by promoting a safe environment, adhering to all safety laws, policies and procedures, completing all required safety training, identifying hazards and implementing controls, reporting incidents, and contributing to a culture of inclusivity and respect, while endeavoring to ensure that all colleagues feel valued and safe to express their thoughts, perspectives and concerns.

The University of Alberta is committed to creating a university community where everyone feels valued, barriers to success are removed, and thriving connections are fostered. 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.

L’Université de l’Alberta s’engage à créer une communauté universitaire où chaque personne se sent valorisée, où les obstacles à la réussite sont éliminés et où des connexions enrichissantes peuvent se développer. Nous accueillons les demandes de toutes les personnes qualifiées. Nous encourageons les femmes; Premières nations, Métis et Inuits; membres des groupes minoritaires visibles; personnes handicapées; personnes ayant une orientation sexuelle ou une identité et une expression sexospécifique; et tous ceux qui peuvent contribuer à la diversification des idées et à l'université à postuler.

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Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Transportation/Trucking/Railroad

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