Visiting Instructor of Applied Data Science
Clarkson University | |
United States, New York, Potsdam | |
April 17, 2024 | |
Job Title: Visiting Instructor of Applied Data Science FLSA Status: Exempt Department: Graduate School Title of Manager/Supervisor: Program Director Number of Employees Reporting to this Position: 0 Range: $85,000-$88,500 based on experience Position Summary: MS -Applied Data Science is seeking to hire an instructor to teach core and elective courses in our curriculum, in our residential and online program. The courses include but are not limited to IA 651: Applied Machine Learning, IA 640: Information Visualization as well as possible elective courses. The projected teaching load is 4+4. The position is for 2 years and it is planned to start in August 2024 General Purpose: Teaching courses in our MS-ADS program Position Responsibilities:
Health & Safety: All staff has a statutory responsibility to take reasonable care of themselves, others and the environment and to prevent harm by their acts or omissions. All staff is therefore required to adhere to the University's Health, Safety, and Environmental Policy & Procedures. DISCLAIMER: The above statements are designed to indicate the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all duties, responsibilities, skills, and qualifications required of personnel so classified Essential Skills:
Education: Preferred Qualifications: PhD in Data Science or related field Experience: Minimal Qualifications: 2 years of professional experience in machine learning and corporate data management and/or 2 years of experience as instructor and/or teaching assistant experience in data science courses. Physical Demands: Special Instructions to Applicants: An equal opportunity/affirmative action employer, Clarkson actively seeks and encourages applications from minorities, women and people with disabilities. All offers of employment are subject to the applicant successfully passing a background check (including, but not limited to, employment verification, educational and other credential verification, and criminal records). |