Process Engineer and PostDoc opportunities

iLS Inc/Carnegie Mellon University

Starting: in January 2007

Ending: December 2007 with possibilities of extension

iLS Inc. has immediate openings for a process control engineer with 2 years or more industrial experience and a Post Doc with background in chemical or electrical engineering. The candidates will work in a small engineering team on design, installation and customization of adaptive and self-optimization MPC (model predictive controller) in the chemical, petro-chemical, power generation and water treatment industries. The process engineer will work on design, implementation and beta testing of a single input single output adaptive controller with adaptive feedforward. The Post Doc will be working at Carnegie Mellon University on developing multivariable adaptive predictive control algorithms.

The successful candidates will have some or most of the following qualities:

¨ Process control Engineering experience preferably in the Chemical /Power Generation industries

¨ Excellent programming skills (C/C++/Matlab)

¨ BS/MS/PhD in Chemical, Electrical or Mechanical Engineering

¨ Willingness to work with customers and travel to client sites (Travel up to 25%)

¨ Theoretical and/or practical experience in working with system identification, predictive and or nonlinear control 

¨ Ability to work in small teams including CMU students and iLS engineers with diverse  backgrounds

¨ Willingness to work under severe time & resource constraints

¨ Salary: Based on experience

About Industrial Learning Systems:

iLS, which is based in Pittsburgh PA, was spun out of Carnegie Mellon in May 2005. We specialize in predictive modeling, process control and real time process optimization. The technology is based on innovative solutions to process modeling based on rigorous thermodynamic models, methods for robust closed loop identification in data rich and information poor environments and novel methods for large scale optimization developed at Carnegie Mellon University. These methods have been leveraged to develop innovative process control and real time optimization solutions which have an ability to reduce energy and maintenance costs and improve process yield and efficiency.

We have funding from local investors and a major OEM to customize our products. We have beta sites planned at a major chemical company and in large scale power plants. The successful applicants will take part in these developments by working on product development, implementation and design of a new suite of products suitable for adaptive control and real time optimization of complex single and multi-product plant complexes.

Please send resume to one of the following

Rajeev Kutty (Process Control Position)

Industrial Learning Systems

Phone:  412 512 8257

Fax:      412 268 7139

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B. Erik Ydstie (post-doc Position)

Carnegie Mellon University

Chemical Engineering

Phone 412 268 2235

Fax 412 268 7139

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