University of Alberta, Department of Physics

Position ID:UAlberta-Physics-BPML [#24184, A107849328]
Position Title: Assistant Professor, Biophysics and Machine Learning
Position Type:Tenured/Tenure-track faculty
Position Location:Edmonton, Alberta T6G 2E1, Canada [map] sort by distance
Subject Area: Physics / Biophysics
Appl Deadline:2023/03/20 11:59PMhelp popup (posted 2023/01/18, listed until 2023/03/20)
Position Description:    

*** the listing date or deadline for this position has passed. ***

Assistant Professor, Biophysics and Machine Learning 

SCI Physics 
Competition No. - A107849328 
Closing Date - Mar 15, 2023 

Department summary

 The Department of Physics has approximately 48 faculty with research interests in condensed matter physics, biophysics, astrophysics, space physics, subatomic physics, and geophysics. Access to a wide range of infrastructure for biophysical research is available on campus, from laser spectroscopy labs and microscopy facilities to structural and chemical characterization labs, nano-fabrication facilities, molecular biology services, and clusters for high-performance computation. Extensive infrastructure exists for high-performance computation, from PC clusters within the department to the Western Canada Research Grid ( Initiatives by the Governments of Alberta and Canada provide exceptional opportunities for additional funding to establish new research programs at the University of Alberta. 

Position summary 

The Department of Physics, University of Alberta ( invites applications for a tenure-track faculty position combining biophysics and machine learning. We are primarily seeking an emerging scholar to hire at the Assistant Professor level who is committed to excellence in teaching and research, but highly qualified candidates at a more senior level will be considered. Applicants must possess a PhD in physics, biophysics or an appropriately related field and have the potential to develop an innovative and externally-funded research program in biophysics and machine learning. 

The successful candidate will be expected to build a strong independent research program, develop collaborative relationships, supervise graduate students, and teach physics at the undergraduate and graduate level. The successful candidate will be nominated for a Canada CIFAR Artificial Intelligence (CCAI) Chair by the Alberta Machine Intelligence Institute (Amii). Amii is one of three institutes named in the Pan-Canadian AI Strategy and represents more than 35 artificial intelligence (AI) and machine learning researchers at the U of A, as well as CCAI Chairs at post-secondary institutions across Western Canada. The CCAI Chair includes research funding for at least five years. This position is part of a University of Alberta cluster hire in the areas of research strength that include Health, Energy, and Indigenous Initiatives in health and humanities, among others. The University of Alberta is world-renowned for its strength in AI; this cohort will bring together and foster the next generation of scientists leading the development of machine learning for societal benefit, fulfilling Amii's mandate of AI for good and all. 

Candidates must also demonstrate how they will work to expand the diversity of the Department through a statement about equity, diversity, and inclusion (EDI). In the EDI statement, candidates should describe how they plan to incorporate these considerations into their teaching, research, and service to the scientific community. Candidates are also encouraged to describe how they will contribute to increasing the diversification of ideas within the Department of Physics. 

A CV, list of publications, statement of research interests, summary of teaching interests and an EDI statement are required. At least 3 confidential reference letters should be submitted electronically. Please ask referees to address their letters to: 

Biophysics & Machine Learning Selection Committee 
Department of Physics 
University of Alberta 
Edmonton, Alberta, Canada, T6G 2E1 

Referees should email their letters directly: 
To: Suzette Chan 
Subject: Biophysics & ML Competition #A107849328

To assist the University in complying with mandatory reporting requirements of the Immigration and Refugee Protection Act (R203(3) (e)), please include the first digit of your Canadian Social Insurance Number in your application. If you do not have a Canadian Social Insurance Number, please indicate this in your application. 

The application deadline is March 15, 2023. The anticipated start date for this position is July 1, 2023.


  • Build a strong independent research program
  • Develop collaborative relationships Supervise graduate students
  • Teach physics at the undergraduate and graduate level. 

Minimum Qualifications 

  • PhD in physics, biophysics or an appropriately related field 
  • Track record of peer-reviewed publications in the areas of biophysics and machine learning or evidence of equivalent relevant research experience 

Note: Applications are accepted until midnight Mountain Standard Time of the closing date. 

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. 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.

We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at .
Contact: Suzette Chan, (780) 492-1052
Email: email
Postal Mail:
​Department of Physics
University of Alberta
CCIS 4-181
Edmonton, AB Canada T6G 2E1
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