Assistant Teaching Professor

Penn State University • University Park, IL

1d

About The Position

The John and Willie Leone Family Department of Energy and Mineral Engineering (EME) at The Pennsylvania State University invites applications for a full-time, professional track (non-tenure line), teaching faculty at the level of Assistant or Associate Professor in petroleum and natural gas engineering. The successful candidate will teach undergraduate and graduate courses on petroleum and natural gas engineering, artificial intelligence (AI), and data analytics applied to energy systems. The position includes advising students and contributing to the department through service and committee work. This is a 9-month academic appointment paid over twelve months, funded for three years, with the possibility of renewal. The anticipated start date is August 1, 2026. Successful candidates are expected to hold, by the time of appointment, a Doctoral degree in petroleum engineering, energy engineering, or a closely related field. Experience with AI applications, machine learning, data analytics, or digital transformation in the energy sector is expected. Previous industry experience would be a plus.
Please see https://policy.psu.edu/policies/ac21 for the definition of academic ranks and promotion opportunities for non-tenure-line professional track faculty at Penn State.
Rank and title will be determined by education and qualifications.
The position is housed within the John and Willie Leone Family Department of Energy and Mineral Engineering at Penn State. EME's mission is to develop, offer, and deploy solutions for the responsible use of the Earth's energy and mineral resources to support a thriving global society. The Petroleum and Natural Gas Engineering (PNGE) program within EME prepares students for careers in petroleum engineering and energy resource development while emphasizing environmental stewardship, digital transformation, and operational excellence. Alongside EME’s broader efforts to integrate AI and Data Science methods within its curriculum, the PNGE program is also expanding its scope to integrate novel methods with traditional approaches, thus preparing graduates for the evolving energy landscape. EME is a dynamic academic unit with a strong faculty across multiple energy and minerals disciplines, robust industry partnerships, and state-of-the-art research facilities. The department maintains active collaborations with leading energy companies and benefits from proximity to major energy-producing regions in Pennsylvania. EME graduates are highly sought after by industry, with strong placement rates in companies across the energy sector. Please see https://www.eme.psu.edu/ for additional information about the department.

Requirements

• hold, by the time of appointment, a Doctoral degree in petroleum engineering, energy engineering, or a closely related field
• Experience with AI applications, machine learning, data analytics, or digital transformation in the energy sector is expected

Nice To Haves

• Previous industry experience would be a plus.

Responsibilities

• teach undergraduate and graduate courses on petroleum and natural gas engineering, artificial intelligence (AI), and data analytics applied to energy systems
• advising students
• contributing to the department through service and committee work

Benefits

• Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional wellbeing.
• In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans.
• One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree