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January 2018

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Sender:
"Chemical Engineers in Computing and Systems Technology, AIChE" <[log in to unmask]>
Subject:
From:
"Elling W. Jacobsen" <[log in to unmask]>
Date:
Wed, 3 Jan 2018 11:33:44 +0100
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"Elling W. Jacobsen" <[log in to unmask]>
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The Department of Automatic Control at KTH conducts fundamental and 
applied research in system identification, control, machine learning and 
optimization of dynamical systems, with applications in autonomous 
systems, process control, systems biology, wireless networks and secure 
systems. The department is internationally well established, has many 
research collaborations with excellent partners worldwide, and is 
involved in several European and national projects. Industrial projects 
involve partners such as ABB Corporate Research, ABB Process Automation, 
BillerudKorsnäs, Ericsson Research, and Scania. We have a large academic 
network and collaborate with researchers at MIT, Harvard University, UC 
Berkeley, Stanford, TU Eindhoven, and Université de Lyon among others. 
Automation and Control at KTH was ranked 12 in the world in the latest 
Shanghai ranking.

We now have an open postdoc position within model based optimization and 
control of continuous bioprocesses based on mammalian cells. The 
position is associated with the newly established Center for Advanced 
Bioproduction AdBioPro. It involves developing methodologies for 
mechanistic macroscopic metabolic modeling, parameter estimation and 
experiment design, and optimization and control of cell metabolism in 
perfusion processes. The project will be run in close collaboration with 
the School of Biotechnology at KTH, hosting extensive laboratory 
facilities, and our industrial partners, with the ultimate objective to 
verify methodologies in an industrial setting.  We primarily seek 
candidates with a background in modeling of reaction networks, parameter 
estimation, off- and on-line optimization (MPC), and preferably with 
experience of applications in bioproduction.

Candidates should have a Ph.D. or be near Ph.D. defense, in Control 
Engineering, Chemical Engineering or Biotechnology. The candidate should 
have a strong background from at least one of the areas bioprocess 
modeling, system identification or Model Predictive Control, and 
experience from at least one more of these areas.

The successful applicant should have an outstanding research and 
publication record. Well-developed analytical and problem solving skills 
are a requirement. We are looking for a strongly motivated person, who 
is able to work independently. Good command of English orally and in 
writing is required to present and publish research results.

Please contact Prof Elling W. Jacobsen, [log in to unmask], or Prof Håkan 
Hjalmarsson, [log in to unmask] if you are interested.

Deadline for applications is Jan 15 2018.


-- 

KTH logo
Elling W. Jacobsen
Professor of Automatic Control

KTH Royal Institute of Technology
School of Electrical Engineering, Department of Automatic Control
Osquldas väg 10, floor 6, SE-100 44 Stockholm, Sweden
Phone: +46 8 790 7325, email: [log in to unmask]


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