Applicant Login
Set Up Job Alerts
Job search
Refine search

Employment Type




Research Assistant/Associate Professor

Apply now Department: 3670045065 Computer Science
Job no: 517491
Employment type: Academic / Faculty - 12 month
Location: Manhattan, Kansas
Worksite: On-site requirement
Categories: Engineering, Computer Science / Information Technology
Pay Grade: 001

About This Role:

The Department of Computer Science is seeking a Research Assistant/Associate Professor, 12-month, non-tenure, term to pursue, assist with, advise, and promote research and teaching activities in artificial intelligence and data science at the Center for Artificial Intelligence and Data Science (CAIDS)


40% Pursue, assist with, and advise, on research at the Center for Artificial Intelligence and Data Science (CAIDS) related to artificial intelligence and data science. Specifically, the position is responsible for initiating, implementing, and leading research in collaboration with other CAIDS faculty, assisting other CAIDS faculty with their ongoing research, and providing advice on the vision and conduct of current and future research projects.

20% Identify and pursue external funding opportunities in collaboration with CAIDS faculty.

10% Promote CAIDS research on artificial intelligence and data science through internal and external engagements.

30% Coach and co-supervise graduate students doing research on artificial intelligence and data science.

Why Join Us:

Kansas State University offers a comprehensive benefits package that includes health insurance, life insurance, retirement plans, paid time off – vacation, sick, and holidays. To see what benefits are available, please visit: 

We Support Diversity and Inclusion:

Kansas State University embraces diversity and promotes inclusion.  The University actively seeks individuals who foster a collegial environment and cooperative interactions with coworkers, students, and others.  The University is dedicated to promoting the Principles of Community.

Worksite Options:

This position is required to be performed on-site. Work is performed on employer premises or designated assignment location.

Visit this link for K-State’s guidance and policies on remote work and flexible work arrangements.  Remote work agreements are required for all flexible work arrangements and are subject to review.

What You’ll Need to Succeed:

Minimum Qualifications:

  • Requires completed coursework towards a PhD (All But Dissertation - ABD) in related area

Preferred Qualifications:

  • PhD in related area and substantial research background in artificial intelligence and data science

Other Requirements:

  • Applicants must be currently authorized to work in the United States at the time of employment.

How to Apply:

Please submit the following documents:

  1. Letter of application, articulating interest in the position and experience or training relative to the qualifications for the position
  2. Statement of research (two page limit) 
  3. Teaching vision and philosophy (optional, two page limit)
  4. Full curriculum vitae
  5. Undergraduate and graduate transcripts 
  6. Names, e-mails, and phone numbers for three references 
  7. Inquires about the position should be directed to the search committee chair, Pascal Hitzler, at with subject line: Research Assistant Professor 

Screening of Applications Begins:

Immediately and continues until position if filled. 

Anticipated Hiring Pay Range:

$85,000 - $95,000 annually


Equal Employment Opportunity:

Kansas State University is an Equal Opportunity Employer.  All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity, age, national origin, disability or status as a protected veteran.

Background Screening Statement:

In connection with your application for employment, Kansas State University will procure a Background Screen on you as part of the process of considering your candidacy as an employee.


Advertised: Central Daylight Time
Applications close:

Back to search results Apply now Refer a friend