Research Prime

Research Associate-2 Year Term - Artificial Intelligence and Machine Learning

Organisation Name: University of Toronto
Organisation Type:
City: Toronto
State: ON
Country: Canada

Job Description:

Date Posted: 07/27/2022
Req ID:25786
Faculty/Division: Faculty of Arts & Science
Department: Dept of Chemistry
Campus: St. George (Downtown Toronto)

 

Description:

The Department of Chemistry at the University of Toronto invites applications for a Research Associate (Limited Term) for a 2-year appointment to join Professor Dwayne Miller’s Research Group. The anticipated start date is October 1, 2022. 

 

The Research Associate is expected to independently carry out and conduct a research project to develop Artificial Intelligence (AI) and Machine Learning (ML) algorithms for data mining in the two research streams of the group: ultrafast electron diffraction and PIRL-DIVE-MS. More details about these projects can be found at  https://lphys.chem.utoronto.ca/research-overview/. 

 

The candidate will take a leadership role in managing the data science project in both research streams, liaising with collaborators, and supervising post-doctoral fellows and graduate students. 

Applicants should apply online at the link below and include a covering letter, curriculum vitae and three reference names with their contact addresses and phone numbers. Any questions regarding this position should be directed to R. J. Dwayne Miller at dmiller@lphys.chem.utoronto.ca.


MINIMUM QUALIFICATIONS:

 

Education:
PhD in Physical or Structural Chemistry.

 

Experience:
Minimum of ten (10) years of demonstrated experience in modelling and data analysis of ultrafast electron diffraction data.
Demonstrated experience in computational chemistry.
Experience with supervising graduate and post-doctoral fellows in the field of Ultrafast Electron Diffraction
Experience writing, directing, and developing research projects in the field of Ultrafast Electron Diffraction.
Experience with Lasers and optics, including non-linear optics and transient absorption spectroscopy
Expertise in Gas and solid phase Electron Diffraction research projects.


Skills:
Strong knowledge of AI and ML algorithms.
Strong technical and analytical skills, a solid understanding of research methodologies, and an outstanding record of peer-reviewed publications.
Excellent communication skills, both written and oral.
Good programming skills with practical experience in MATLAB and Phyton
Proficient in Microsoft Office suite (Word, Excel, PowerPoint), and scientific visualization software (e.g., Matlab).
Excellent time management skills and organizational skills
Proven ability to mentoring 
Demonstrated ability to work with collaborating scientific partners.
 

 

Closing Date: 09/30/2022,11:59PM ET
Employee Group: Research Associate 
Appointment Type: Grant - Term 
Schedule: Full-Time
Pay Scale Group & Hiring Zone: R01 -- Research Associates (Limited Term): $47,287 - $88,663
Job Category: Research Administration & Teaching


Posting Date: Sep 08, 2022
Closing Date:
Organisation Website/Careers Page: https://jobs.utoronto.ca/job/Toronto-Research-Associate-2-Year-Term-Artificial-Intelligence-and-Machine-Learning-ON/561307317/


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