IE PhD/ remote intern position
11040
The ceat.okstate.edu at Oklahoma State University
(OSU) is looking for two highly motivated individuals interested to pursue doctoral degree
in Industrial Engineering, with the focus in Industrial Data Analytics. Students will work
towards the development of data-driven methodologies for smart and connected systems,
and complex business processes. Broad research directions are as follows:
; Advanced data analytics for IoT-enabled smart and connected systems.
; Stochastic modeling, prognosis, and control for event data.
; Reliability modeling and maintenance planning for complex engineering systems.
; Real-time monitoring and automation of business service processes.
The positions are fully funded and begin in Spring-23/Fall-23 semester. Interested
candidates, please review the requirements below.
Requirements:
- A B.S. or M.S. degree in Industrial Engineering, Statistics, Operations Research,
Computer Science, Mathematics, Management Science, or a related discipline.
- Strong competence in at least one programming language (R, Python, MATLAB
preferred).
- Meet the general school’s requirements go.okstate.edu.
- Excellent written and oral communication skills.
How to Apply:
If you meet the above requirements and are interested, please email (1) a detailed CV, (2)
a cover-letter describing your (past/current) research experiences, (current/future) research
interests and goals, and (3) sample publications such as, preprints, accepted manuscripts,
white pages, theses etc. (optional), to Dr. Akash Deep (adeep.xyz) at
1point3acres.com. Selected applicants will be contacted and interviewed virtually.
If you are an undergrad/masters student seeking a remote internship, please do not hesitate to reach out.
About PI:
Dr. Akash Deep received his Ph.D. in Industrial Engineering and M.S. in Statistics from
the University of Wisconsin-Madison. He obtained his B. Tech degree in Production and
Industrial Engineering from the Indian Institute of Technology Roorkee, India. His
research broadly belongs to the realm of industrial data analytics, focusing specifically on
methods for predictive analytics for intelligent maintenance, data-driven operations
planning for production systems, and monitoring and anomaly detection of service
processes. During his Ph.D., he served as the lead researcher for several industry-sponsored
projects. He is a recipient of the E. Wayne Kay Graduate Scholarship from the Society of
Manufacturing Engineers (SME), and the Vinod K. and J Gail Sahney Graduate Student
Scholarship.
P.S.: UW-Madison 刚毕业的印度师兄（不卷不装逼的那种）。博士期间非常高产。学术能力强人nice。和他合作可以学到很多东西。
(OSU) is looking for two highly motivated individuals interested to pursue doctoral degree
in Industrial Engineering, with the focus in Industrial Data Analytics. Students will work
towards the development of data-driven methodologies for smart and connected systems,
and complex business processes. Broad research directions are as follows:
; Advanced data analytics for IoT-enabled smart and connected systems.
; Stochastic modeling, prognosis, and control for event data.
; Reliability modeling and maintenance planning for complex engineering systems.
; Real-time monitoring and automation of business service processes.
The positions are fully funded and begin in Spring-23/Fall-23 semester. Interested
candidates, please review the requirements below.
Requirements:
- A B.S. or M.S. degree in Industrial Engineering, Statistics, Operations Research,
Computer Science, Mathematics, Management Science, or a related discipline.
- Strong competence in at least one programming language (R, Python, MATLAB
preferred).
- Meet the general school’s requirements go.okstate.edu.
- Excellent written and oral communication skills.
How to Apply:
If you meet the above requirements and are interested, please email (1) a detailed CV, (2)
a cover-letter describing your (past/current) research experiences, (current/future) research
interests and goals, and (3) sample publications such as, preprints, accepted manuscripts,
white pages, theses etc. (optional), to Dr. Akash Deep (adeep.xyz) at
1point3acres.com. Selected applicants will be contacted and interviewed virtually.
If you are an undergrad/masters student seeking a remote internship, please do not hesitate to reach out.
About PI:
Dr. Akash Deep received his Ph.D. in Industrial Engineering and M.S. in Statistics from
the University of Wisconsin-Madison. He obtained his B. Tech degree in Production and
Industrial Engineering from the Indian Institute of Technology Roorkee, India. His
research broadly belongs to the realm of industrial data analytics, focusing specifically on
methods for predictive analytics for intelligent maintenance, data-driven operations
planning for production systems, and monitoring and anomaly detection of service
processes. During his Ph.D., he served as the lead researcher for several industry-sponsored
projects. He is a recipient of the E. Wayne Kay Graduate Scholarship from the Society of
Manufacturing Engineers (SME), and the Vinod K. and J Gail Sahney Graduate Student
Scholarship.
P.S.: UW-Madison 刚毕业的印度师兄（不卷不装逼的那种）。博士期间非常高产。学术能力强人nice。和他合作可以学到很多东西。
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