ESE Lecturer 2026-2027

University of Pennsylvania Perelman School of Medicine

Philadelphia (Philadelphia County)

On-site

USD 70,000 - 110,000

Full time

4 days ago
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Job summary

The University of Pennsylvania Perelman School of Medicine's Department of Electrical and Systems Engineering (ESE) seeks a full‑time lecturer or senior lecturer to teach courses in artificial intelligence, machine learning, and data science in a non‑tenure track appointment. The role emphasizes undergraduate and graduate education and collaboration with PENN's GRASP and PICS centers.

Ideal candidates hold an advanced degree in AI-related engineering and demonstrate excellence in teaching with a

Qualifications

  • Advanced degree in AI-related engineering required.

Responsibilities

  • Teach courses in artificial intelligence, machine learning, and data science.
  • Focus on applications of AI and computer systems/architectures for AI.
  • Non-tenure track appointment as lecturer or senior lecturer with emphasis on undergraduate and graduate education.

Education

Advanced degree in AI/related engineering field

Job description

Location

Philadelphia, PA

Open Date

Sep 01, 2026

Description

University of Pennsylvania: School of Engineering and Applied Science: School of Engineering and Applied Science - Electrical and Systems Engineering.

The Department of Electrical and Systems Engineering (ESE) within the School of Engineering and Applied Science (SEAS) at the University of Pennsylvania seeks outstanding applicants for a full‑time lecturer position to teach courses in artificial intelligence, machine learning, and data science, with particular focus on applications of Artificial Intelligence (AI) and on computer systems and architectures for AI. The department seeks individuals with exceptional promise for, or a proven record of, excellence in undergraduate and graduate education. Appointments may be at Senior Lecturer or Lecturer rank commensurate with the candidate's experience and accomplishments. This position is non‑tenure track. Candidates must have a commitment to excellence in undergraduate and graduate education in electrical and systems engineering or related areas, and a strong commitment to fostering a positive educational environment.

The Department maintains close collaborations with all other engineering departments in SEAS and other Schools at Penn including the School of Arts and Sciences, the Perelman School of Medicine, the Wharton School of Business, and the Stuart Weitzman School of Design. The Department has strong interactions with leading centers including the General Robotics, Automation, Sensing, and Perception (GRASP) Laboratory, the Penn Institute for Computational Science (PICS), and the Penn Center for Health, Devices & Technology.

Qualifications

Applicants should hold an advanced degree in an engineering discipline related to Artificial Intelligence including Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, Machine Learning, Data Science, or related areas.

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