Professor

**Professor, Software Development - Data Analytics and Machine Learning - FAST - FT Academic**
- (31949)

**Find Your Spot at Humber**
At Humber, our career paths open up a world of infinite possibilities for you to explore. People are at the heart of the Humber experience. Here, every day we work shoulder to shoulder to deliver excellence, and in doing so, we redefine what it means to be a leader in polytechnic education. Humber employees are a diverse group of committed, caring and fun-loving people.

We take finding and growing the right talent very seriously. We strive to find and nurture extraordinary employees who bring their best each day.

If you are interested in working in higher education and are looking to contribute to the largest Polytechnic in Ontario, as we shape the future of our students and communities, here is your opportunity to join our team.

**Job Details**:
**Position Title**: Professor, Software Development - Data Analytics and Machine Learning
**Status**: Full-Time
**Faculty/Department**: Faculty of Applied Sciences and Technology
**Campus/Location**:North Campus
**Salary**:Academic starting salaries are determined based on qualifications and years of related experience as detailed in the collective agreement for academic employees.

**About the Faculty of Applied Sciences and Technology at Humber**:
The Faculty of Applied Sciences & Technology (FAST) at Humber College offers a dynamic and innovative learning environment, combining academic theory with hands-on practice in fields such as cybersecurity, engineering, embedded systems, and skilled trades. With cutting-edge facilities, applied research projects, and strong industry connections, FAST prepares students for careers in emerging technologies and complex systems. Faculty members play an integral role in advancing research and developing future leaders in technology and applied sciences.

**About the Role**:
The incumbent will teach, develop curriculum, design/revise specific courses, create an effective and innovative learning environment for our students, assess student progress and achievement; work collaboratively with colleagues, participate in committees and related associations.

**About You**:
You are passionate about working at Ontario's largest Polytechnic; you thrive on improving productivity and quality that contribute to team success If this sounds like you, keep reading:
**Education**

**Experience/Skills**

The applicant must be well-versed in Data Analytics and Machine Learning techniques. Practical experience in programming languages such as C#, Python, and SQL, cloud platforms and data lake technologies such as Hadoop, Amazon Web Services, or Azure is required. The applicant should have extensive experience in managing large data sets. The incumbent must be familiar with the changes and trends in related industry, to plan, update and develop curriculum and hands-on practical training components, according to the needs and demands of related industry.

**What's in it for you?**
- An opportunity to be a part of building Humber's future.
- Be part of a diverse, hard-working, and supportive team.
- Tools and technology that will allow you to succeed at your job.
- Amazing perks

We thank you for your interest in working with Humber Polytechnic. Only applicants selected for an interview will be contacted. Consideration for Academic positions will be given to internal employees in accordance with the Collective Agreement (Article 27.11).

**Equity, Diversity, and Inclusion**
Humber Polytechnic is committed to a workforce that reflects the diversity of our students and our city. We actively seek Indigenous Peoples and individuals from equity-deserving groups with demonstrated skills and knowledge to deal with all aspects of equity, diversity and inclusion in a post-secondary environment.

Humber supports employment equity. Racialized workers, women, Indigenous workers, LGBTQ2S+ workers and workers with disabilities are encouraged to apply. For the purpose of statistical data collection, applicants are strongly encouraged to voluntarily self-identify. Humber’s diverse workplace also supports Francophone workers and young workers.

**Accommodation**
Humber Polytechnic is committed to accommodating applicants with disabilities throughout the hiring process, in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). Our Talent Acquisition team will work with applicants requesting accommodations at any stage of the hiring process. This document is available in alternate formats upon request.

**Anti-Discrimination Statement**

**Position Type** FT Academic

**Work Locations** North Campus 205 Humber College Blvd. Etobicoke M9W 5L7

**Job Family** Academic Administration

**Deadline to Apply** January 29, 2025

**Job Posting** 1/15/25

**Department** Faculty of Applied Sciences and Technology