Yeshiva College Computer Science - Postdoctoral Position

Yeshiva College Computer Science – Postdoctoral Position

Job No: 498912

Work Type:
Research Fellows

Department:
Yeshiva College

Location:

Wilf Campus, 500 West 185th Street, NY, NY

Categories:
Education/Teaching

Postdoctoral Researcher/Instructor in Computer Science at Yeshiva College.

• This is a one-year, renewable, postdoc in C.S.
• Candidates are welcome to bring their own research agenda or to join our department's collaborations, which include:
  • AI models to detect and track cancer, in collaboration with researchers at Memorial Sloan Kettering Cancer Center.
  • Distributed Systems projects focused on financial systems, in collaboration with FINOS and a "Big Tech" hyperscaler.
• Teaching load: 1 course/semester in addition to supervision of undergraduate research in the context of the aforementioned research collaborations.
• Postdocs are expected to involve exceptional undergraduate students in their research.
• Participate in professional development opportunities within Yeshiva University to enhance teaching.

• Ph.D. in Computer Science, focused on Artificial Intelligence or Distributed Systems.
• Candidates in Cybersecurity, Data Management, and Real-Time Systems are also of strong interest.
• Candidates in adjacent areas within C.S. will be seriously considered as well.
• One or more years of teaching experience preferred, with strong evidence of excellence in teaching.

• Fluency in spoken English.
• Demonstrated ability to collaborate well with others, within one's own organization and beyond.

• Curriculum vitae.
• A letter of application that specifically outlines how you are uniquely qualified for the job as described.
• At least three references (industry references are welcome and encouraged, but must include at least two academic references).
• Teaching evaluations.

$90,000 - $100,000

Yeshiva University is an equal opportunity employer committed to providing employment opportunities to all employees and candidates without regard to race, color, age, sex, national origin, disability status, or any other characteristic protected by federal, state, or local laws.