Kungliga Tekniska högskolan,

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

The research activities of The Department of Automatic Control are focused on system identification, control, machine learning and optimization of dynamical systems, with applications in autonomous systems, networked system, process control, modeling and control of bioprocesses, robotics and secure systems. The personel has a multicultural background and the working language is English. The department is internationally well established and is involved in many European and national research centers and projects. Industrial partners include ABB Corporate Research, ABB Process Automation, BillerudKorsnäs, Ericsson Research, and Scania. We have a large academic network and collaborate with researchers at MIT, UC Berkeley, Stanford University, TU Eindhoven, and Université de Lyon among others. Automation and Control at KTH was ranked 12 in the world in the latest ARWU Shanghai ranking.KTH offers an attractive working environment, generous remuneration, as well as full social benefits (including health insurance). As a postdoctoral researcher at KTH you have many opportunities to participate at conferences, projects and other relevant events which will extend your professional network and benefit your future career.

Project description

Biopharmaceutical industry is a large and profitable field. The field has evolved from production based on bacterial systems towards production based on mammalian cells in a majority of biological drugs. The legacy is fed-batch processing but the field is rapidly evolving brought by the new trends and a constant need of competitiveness. In this perspective, integrated continuous bioprocessing, i.e. a process consisting of a perfusion culture where medium is steadily added, has received very high interest. This interest is rapidly increasing and nearly all the large Pharma/Biotech companies are looking into this type of intensified process.Production under such conditions requires feedback control, which in turn requires adequate models for the dynamics of the process. Through several projects the Automatic Control Lab intends to create a sustainable world class environment for modeling and control of bioproduction. Currently the team involves two Full Professors with specializations towards data driven modeling and control, and one postdoc working in the VINNOVA sponsored project “Smart feed design for biopharmaceutical production” (SmartFD), where we collaborate with the School of Biotechnology at KTH, world leading in perfusion, and GE Healthcare and Cobra Biologics as industrial partners.

The open postdoc position is associated with the new Centre for Advanced BioProduction, AdBIOPRO, 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 Centre focus on bioproduction based on mammalian cells, with the objective to respond to the paradigm shift  towards continuous processing, and with the intention of becoming world leading.

The postdoc project concerns model based optimization and control of culture media and processes. It involves developing methodolgies for mechanistic macroscopic metabolic modeling, parameter estimation in- and experiment design for such models, optimizing cell metabolism through media feeds for perfusion, and feedback control  of perfusion processes. The project is in close collaboration with the School of Biotechnology, hosting extensive laboratory facilities, and our industrial partners, with the ultimate objective to verify methodologies in an industrial setting. There will also be a close collaboration with the SmartFD project.In summary, the project has a an ambitious scope, spanning model development for bioprocesses, algorithm development for data driven modeling, optimization, and control design, where industrial relevance will be ensured through the use of laboratory and industrial data and verification.We seek candidates with  background from modeling of reaction networks,  parameter estimation and  off- and on-line optimization (Model Predictive Control), preferably with applications in bioproduction.


Candidates should have a Ph.D. or be near Ph.D. defense in Electrical 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 both independently and in collaboration with others. Good command of English orally and in writing is required to present and publish research results.

Trade union representatives

You will find contact information to trade union representatives at KTH's website.


Log in to KTH's recruitment system in order to apply to this position. You are responsible for ensuring that your application is complete according to the instructions below. Your complete application must be received by us at KTH no later than the last day of application.

The application should include:

  1. Full curriculum vitae including your relevant academic, professional, and other achievements, experience and knowledge
  2. Copy of the degree certificate(s) from your previously attended university-level institutions, with certified translations in English (unless provided so by the issuing institution)
  3. Statement of purpose: What are your academic interests, how does the project relate to your previous studies and future goals; maximum 2 pages long
  4. List of publications and copies of two representative publications or technical reports no longer than 10 pages each. For longer documents (e.g. theses), please provide a summary (abstract) and a web link to the full text
  5. Letters of recommendation
  6. Contact information for two reference persons


The employment is time limited to 1 year with possibility of extension with 1 more year.

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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment According to agreement, preferably as soon as possible
Salary Monthly salary
Number of positions 1
Working hours 100 %
City Stockholm
County Stockholms län
Country Sweden
Reference number E-2017-1311
  • Håkan Hjalmarsson, Professor, hakan.hjalmarsson@ee.kth.se, +46 8 790 42 57
  • Elling W Jacobsen, Professor, jacobsen@kth.se, +46 8 790 73 25
  • Mikael Visén, HR administrator, rekrytering@ee.kth.se, +46 8 790 84 89
Published 22.Nov.2017
Last application date 27.Jan.2018 11:59 PM CET

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