Postdoctoral Scholar - Industrial and Manufacturing Engineering
About The Position
The Marcus Department of Industrial and Manufacturing Engineering at the Pennsylvania State University is seeking applications for a Postdoctoral Scholar to work under the supervision of Dr. Vittal Prabhu, Professor & Charles and Enid Schneider Faculty Chair in Service Enterprise Engineering. The scope of work includes mathematical modeling of service systems, and developing and applying advanced data analytics for exploration, visualization, descriptive analytics, prescriptive analytics, and implement these in user-friendly software. Service systems modeling would include developing optimization formulations for resource allocation, demand forecasting, and parameter estimation based on available data. Additionally, scope will include assisting designing and developing online short courses for practitioners and students that cover the concepts and use the software applications. Applicants must have earned a Ph. D degree in Industrial Engineering, or a closely related field. Candidates must be proficient in mathematical modeling and service systems. The postdoctoral scholar will be expected to present research outcomes at conferences and publish papers in peer-reviewed proceedings and journals. Candidate should have excellent interpersonal skills and be willing to work with faculty, students, and managers. Applications should include the following: a cover letter and a CV with links to published or working papers. Applications will be reviewed upon receipt and will be accepted until the position is filled. This is a term appointment, funded for one year from date of hire, with an excellent possibility of renewal. The Pennsylvania State University is committed to and accountable for advancing diversity, equity, inclusion, and sustainability in all of its forms. We embrace individual uniqueness, foster a culture of inclusion that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity in society and nature, and engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission.
Requirements
- Ph. D degree in Industrial Engineering, or a closely related field
- Proficient in mathematical modeling and service systems
- Excellent interpersonal skills
Responsibilities
- Mathematical modeling of service systems
- Developing and applying advanced data analytics for exploration, visualization, descriptive analytics, prescriptive analytics
- Implementing data analytics in user-friendly software
- Developing optimization formulations for resource allocation, demand forecasting, and parameter estimation based on available data
- Assisting designing and developing online short courses for practitioners and students
- Present research outcomes at conferences
- Publishing papers in peer-reviewed proceedings and journals
- Work with faculty, students, and managers
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What This Job Offers
Job Type
Full-time
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
