Sessional Lecturer] Introduction to Reinforcement Learning – APS1080

Job title:

Sessional Lecturer] Introduction to Reinforcement Studying – APS1080

Firm

College of Toronto

Job description

Date Posted: 03/26/2024
Req ID: 36680
College/Division: College of Utilized Science & Engineering
Division: APSC: Ofc of the Dean – College Normal
Campus: St. George (Downtown Toronto)Description:Place: Sessional Lecturer I (1 positions out there)Course title and code: Introduction to Reinforcement Studying – APS1080Course description: Reinforcement Studying (RL) is a systems-level Synthetic Intelligence toolset; this course will present the scholar with each a stable theoretical basis and a powerful sensible understanding of the topic.RL allows autonomous brokers to deal with poorly-characterized, novel environments by exploring the atmosphere to realize data about it, and to take advantage of this data of the atmosphere to behave in a goal-directed method. Though RL is positioned as one among three aspects of Machine Studying, RL has far broader scope than the narrower instruments of supervised and unsupervised studying. RL, being based on agent design, has the aim of creating synthetic intelligence schemes that may endow an agent with autonomy. This introduction, thus, will likely be offered inside the motivating context of an general AI system. There are three foundational RL instruments we’ll cowl (dynamic programming, Monte Carlo, Temporal-Distinction Studying); we can even present how hybridizations of those foundational instruments are employed to create manufacturing schemes. The coed ought to depart the course with the power to virtually apply this AI toolset to novel issues.Estimated Enrolment: Roughly 50 college studentsEstimated TA assist: TBAClass schedule: One 3-hour lecture per week.Sessional date of appointment: Summer time Could-August 2024Wage: Minimal degree of pay is $9,457.89 (Sessional Lecturer I), which incorporates trip pay, and will enhance relying on applicant’s degree of expertise and suitability for the place.{Qualifications}: PhD with a give attention to AI or associated fields; expertise with Reinforcement Studying, Management Principle, Agent Design, and Synthetic Intelligence, in each a sensible and theoretical sense.Please observe: Undergraduate or graduate college students and postdoctoral fellows of the College of Toronto are coated by the CUPE 3902 Unit 1 collective settlement relatively than the Unit 3 collective settlement, and mustn’t apply for positions posted beneath the Unit 3 collective settlement.Transient description of duties: Duties embrace: preparation of lectures and course supplies; supply of lectures; potential supervision of Educating Assistants; setting and marking of initiatives, assessments and exams; analysis of ultimate grades; contact with college students. On-line Supply.To point curiosity on this place, please full the CUPE UNIT 3 utility kind, downloaded from:and undergoWorkplace of the Vice Dean Graduate Research, College of Utilized Science and Engineering, College of Toronto44 St. George Road, Toronto, Ontario M5S 2E4, E-mail:Closing Date: 04/07/2024, 11:59PM EDT
**This job is posted in accordance with the CUPE 3902 Unit 3 Collective Settlement.It’s understood that some bulletins of vacancies are tentative, pending closing course determinations and enrolment. Ought to charges stipulated within the collective settlement fluctuate from charges acknowledged on this posting, the charges acknowledged within the collective settlement shall prevail.Choice in hiring is given to certified people superior to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective settlement.Please observe: Undergraduate or graduate college students and postdoctoral fellows of the College of Toronto are coated by the CUPE 3902 Unit 1 collective settlement relatively than the Unit 3 collective settlement, and mustn’t apply for positions posted beneath the Unit 3 collective settlement.All certified candidates are inspired to use; nevertheless, Canadians and everlasting residents will likely be given precedence.Range AssertionThe College of Toronto embraces Range and is constructing a tradition of belonging that will increase our capability to successfully tackle and serve the pursuits of our international neighborhood. We strongly encourage purposes from Indigenous Peoples, Black and racialized individuals, ladies, individuals with disabilities, and folks of numerous sexual and gender identities. We worth candidates who’ve demonstrated a dedication to fairness, variety and inclusion and acknowledge that numerous views, experiences, and experience are important to strengthening our tutorial mission.As a part of your utility, you may be requested to finish a quick Range Survey. This survey is voluntary. Any info straight associated to you is confidential and can’t be accessed by search committees or human sources employees. Outcomes will likely be aggregated for institutional planning functions. For extra info, please see .Accessibility AssertionThe College strives to be an equitable and inclusive neighborhood, and proactively seeks to extend variety amongst its neighborhood members. Our values relating to fairness and variety are linked with our unwavering dedication to excellence within the pursuit of our tutorial mission.The College is dedicated to the ideas of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we try to make our recruitment, evaluation and choice processes as accessible as potential and supply lodging as required for candidates with disabilities.If you happen to require any lodging at any level through the utility and hiring course of, please contact .

Anticipated wage

Location

Toronto, ON

Job date

Thu, 28 Mar 2024 00:15:45 GMT

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