[Sessional Lecturer] Case Studies in AI Finance - APS1053 Winter
University of Toronto
This job is no longer accepting applications
See open jobs at University of Toronto.See open jobs similar to "[Sessional Lecturer] Case Studies in AI Finance - APS1053 Winter" Ontario Bioscience Innovation Organization .[Sessional Lecturer] Case Studies in AI Finance - APS1053 Winter
Date Posted: 07/26/2024
Req ID: 38932
Faculty/Division: Faculty of Applied Science & Engineering
Department: APSC: Ofc of the Dean - Faculty General
Campus: St. George (Downtown Toronto)
Description:
Position: Sessional Lecturer I (2 position available)
Course title and code: Case Studies in AI Finance - APS1053
Course description: This course focuses on the application of advanced artificial intelligence techniques (machine learning and some reinforcement learning) to emblematic case studies in stock trading and hedging strategies, portfolio construction, modelling options strategies, investor’s modelling, financial news, and building Robotic-Advisors. Includes topics such as the transformation of predictive input variables into statistically sound indicators, the evaluation of model results, and the analysis of situations where artificial intelligence techniques fail.
Estimated Enrolment: Approximately 50-80 students
Estimated TA support: TBA
Class schedule: One 3-hour lecture per week.
Sessional date of appointment: Winter Session Jan - Apr 2025.
Salary: Minimum level of pay is $4,728.94 each (50% of Sessional Lecturer I as co-instructor), which includes vacation pay, and may increase depending on applicant’s level of experience and suitability for the position.
Qualifications: Expertise in advanced artificial intelligence techniques, financial modeling, machine learning, statistics, mathematics, and programming languages. Experience as instructor at the undergraduate or graduate level as well as the ability to effectively communicate and explain concepts clearly. Applicants should have a strong record of presenting lectures. The applicant must be able to lecture in a clear voice.
Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.
Brief description of duties: Duties include: preparation of lectures and course materials for delivery; delivery of lectures; possible supervision of Teaching Assistants; setting and marking of projects, tests and exams; evaluation of final grades; contact with students.
To indicate interest in this position, please and send an updated CV and a completed application CUPE UNIT 3 form, downloaded from: https://gradstudies.engineering.utoronto.ca/files/2022/08/UNIT-3-Application-Form.pdf to gradstudies@engineering.utoronto.ca
David Duong, Graduate Engineering Affairs, Faculty of Applied Science and Engineering, University of Toronto
44 St. George Street, Toronto, Ontario M5S 2E4
Email: gradstudies@engineering.utoronto.ca
Closing Date: 08/11/2024, 11:59PM EDT
**
This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement.
It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.
Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.
Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Diversity Statement
The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.
As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.
Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.
The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.
If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.
Job Segment: Financial, Engineer, Finance, Engineering
This job is no longer accepting applications
See open jobs at University of Toronto.See open jobs similar to "[Sessional Lecturer] Case Studies in AI Finance - APS1053 Winter" Ontario Bioscience Innovation Organization .