Postdoctor in Modeling and Control for Advanced Bioproduction

The Division of Decision and Control Systems at KTH is looking for a 
postdoc candidate to join our group on modeling and control of 
biological systems. The open postdoc position is associated with the EU 
project iConsensus <https://www.iconsensus.eu>, focusing on developing 
an integrated control and sensing platform for production of 
biopharmaceuticals, vaccines and advanced therapies. The project 
involves leading European universities and pharmaceutical companies and 
is led by KTH. The position will also be associated with the Centre for 
Advanced Bioproduction AdBioPro, 
<https://www.kth.se/adbiopro/advanced-bioproduction-by-continuous-processing-1.776678>led 
by KTH and in collaboration with Lund University and Karolinska 
University Hospital as well as seven Swedish companies in the 
Biopharmaceutical/Biotech industry.

The postdoc project concerns model based optimization and control of 
culture media and processes. It involves developing methodologies for 
metabolic network modeling, and use of the models for optimization and 
control of cell metabolism. The succesful candidate will work in close 
collaboration with the School of Biotechnology at KTH, world leading in 
advanced bioproduction and hosting extensive laboratory facilities, and 
our industrial partners, with the ultimate objective to verify 
methodologies in an industrial setting.

We are looking for candidates with a strong background in at least one 
of the areas reaction network modeling and model based control, 
preferrably with experience from applications related to bioproduction.

The position is initially for one year, but can be extended for one more 
year.

For full details see advertisment 
<https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:369740/where:4/>.

Application deadline is March 15 (can be extended on request).

For further information do not hesitate to contact prof. Elling W. 
Jacobsen [log in to unmask]

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Elling W. Jacobsen
Professor of Automatic Control

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