The Thomas Lord Department of Mechanical Engineering and Materials Science (MEMS) at Duke University is seeking an Adjunct Assistant Professor in the area of machine learning. The Adjunct Assistant Professor will teach one course during the fall semester on graduate-level python and machine learning applications for science and engineering. This position is available for one semester, with compensation commensurate with experience. The ideal candidate will have a PhD degree in mechanical engineering, materials science, civil engineering, environmental engineering or allied fields; and is enthusiastic about teaching and learning. This position is an excellent opportunity for those interested in academia, offering the opportunity to obtain rigorous teaching experience prior to embarking on their eventual career path. Screening of candidates will begin immediately until the position is filled.

Work Performed

Teaching duties will consist of preparing, instructing, and conducting assessment for one course during the fall semester machine learning for graduate students in the departments of Civil Engineering or Mechanical Engineering, or students with relevant prerequisite course work.

Required Qualifications at this Level

Education/Training

A PhD in mechanical engineering, materials science, civil engineering, environmental engineering or allied fields.

Experience

The successful applicant will have extensive experience facilitating teaching and learning experiences in coding and machine learning. Teaching experience or mentoring is favorable (undergraduate and/or graduate).

Skills

Python, machine learning, extensive background in project-based learning pedagogies, and a track record of commitment to inclusive teaching to diverse groups.

The intent of this job description is to provide a representative and level of the types of duties and responsibilities that will be required of positions given this title and shall not be construed as a declaration of the total of the specific duties and responsibilities of any particular position. Employees may be directed to perform job-related tasks other than those specifically presented in this description.

Essential Physical Job Functions

Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.