Jobs · Analyst · Pennsylvania

Mark Stehlik Postdoctoral Teaching Fellowship Position

AnalystFull-time

About the role

This is a high-profile, one-year position with the possibility of renewal for a second year, aimed at recent Ph.D. graduates in computer science, including computational biology, and related disciplines, who demonstrate a strong commitment and potential for teaching.

Responsibilities

  • Provide innovative and rigorous instruction in a dynamic educational environment.
  • Collaborate with experienced educators to enhance pedagogical skills.
  • Contribute to an equitable, diverse scholarly community.

Requirements

We seek recent Ph.D. recipients in computer science, computational biology, or related disciplines who demonstrate strong promise and enthusiasm for teaching.

Qualifications

  • Demonstrate strong promise and enthusiasm for teaching.
  • Aspire to enhance pedagogical skills under the mentorship of experienced educators.
  • Thrive in an interdisciplinary, collaborative setting.

Skills

Candidates who contribute to an equitable, diverse scholarly community are especially encouraged to apply.

Benefits

The fellowship provides valuable hands-on experience in a vibrant, dynamic educational environment with excellent students and a curriculum that emphasizes innovation and rigor.

Pay

The pay details are not specified in the job posting.

Schedule

The schedule details are not specified in the job posting.

Contact Information

For questions, please contact Stehlik-teaching-fellowship@cs.cmu.edu.

Additional Information

The Ray and Stephanie Lane Computational Biology Department is a global leader in computational research and education, with a mission spanning PhD, MS, BS, undergraduate minor, and pre-college programs in computational biology, as well as training programs for experimental biologists and other scientists. We place a strong emphasis on computational methods, foundational mathematics and statistics, data-driven scientific inquiry, and the application of automated and computationally-directed laboratory science.

Application Instructions

Applicants are considered across all School of Computer Science departments and can be submitted via Interfolio at https://apply.interfolio.com/124667. Please submit the following materials:

  • A cover letter
  • A curriculum vitae
  • Three letters of recommendation

Equal Opportunity

Carnegie Mellon University adheres to 41 CFR 60-1.4(a), 60-300.5(a), and 60-741.5(a), which prohibit discrimination based on veteran or disability status and all individuals based on race, color, religion, sex, or national origin.

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