School of Engineering Sciences at KTH

Job description

The advertised post-doctoral position is within an ambitious Digital Futures ISPP Project titled “Smart Predictive Maintenance for Pharmaceutical Industry (SMART)”, which is a collaboration between KTH and AstraZeneca.

In this project, you will focus on developing digital twins, using data-augmented physical models, and integrating these with optimization methods for operations analysis and predictive maintenance. The position is at the Department of Mathematics in the Division of Optimization and Systems Theory, and you will be supervised by Jan Kronqvist (KTH) and Jeremy Vachier (AZ). The other 2 postdocs will focus on closely related topics.

In the SMART project, you will work on-site in the AstraZeneca manufacturing facilities in Södertälje ~50% of the time with a goal to start in October 2023. This will afford you the unique opportunity to gain firsthand experience in an industry setting while also contributing to research of others in your cohort. Ultimately this should culminate in multiple prospects for co-authorships and patent applications, while delivering a minimum viable product (MVP) that increases the overall equipment efficiency (OEE) of the lines. Please see openings for the other SMART-Project here and here

About AstraZeneca Södertälje
AstraZeneca’s largest manufacturing site supplies over 30 medicines to more than 100 markets and exported 103 billion Swedish crowns (SEK) in 2021 (>6% of the nation’s exports). Follow AstraZeneca on LinkedIn, Facebook and Instagram.

What we offer

  • A position at a leading technical university that generates knowledge and skills for a sustainable future.
  • Engaged and ambitious colleagues along with a creative, international, multidisciplinary and dynamic working environment both at KTH and AZ
  • Help to relocate and be settled in Sweden and at KTH.
  • An appointment in one of the world’s largest pharmaceutical manufacturing units and a leading university. 
  • Opportunity to work together with AZ to serve a common purpose: to change and extend life of patients by creating the drugs of the future. 
  • A chance to drive a research project that is sustainable for patients and our planet in a high-tech and LEAN environment using agile and scrum methodologies. 
  • Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH



  • A doctoral degree or an equivalent foreign degree (e.g., Operations Research, Optimization, or Process Systems Engineering). This eligibility requirement must be met no later than the time the employment decision is made
  • Good programming skills, either Python, C, C++, or Julia
  • Experience with modeling, optimization software, and simulating production environments.
  • Ability to express yourself very well in English, spoken and written, as this will be required in day-to-day work
  • Proof of research expertise in optimization/operations research/process systems engineering, e.g., published papers in Q1/Q2 ranked journals and peer-reviewed conferences

Preferred qualifications

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
  •  Experience/knowledge of one or several of the topics: digital twins, software engineering, optimization algorithms,  ML/AI, Git, Agile method
  • Teaching abilities (opportunities to participate in teaching/student supervision to a limited extent)
  • Experience of working with ML/AI algorithms and tools (e.g., PyTorch), pharmaceutical manufacturing, and presenting results at international conferences
  • As person you have a strong ability to work independently and successfully collaborate with others
  • We expect the application to have an awareness of diversity and equal opportunity issues, with a specific focus on gender equality
  •  Good knowledge of verbal and written Swedish, as this will be required in day-to-day work 

Great emphasis will be placed on personal competency.

Trade union representatives

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


Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

The application must include:

  • CV including relevant professional experience and knowledge. The CV shall include a list of recent and relevant publications
  • Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
  • At least two references that we can contact

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.


Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

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
Contract type Full time
First day of employment According to agreement
Salary Monthly salary
Number of positions 1
Full-time equivalent 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number S-2023-0793
  • Jan Kronqvist,
Published 23.May.2023
Last application date 11.Sep.2023 11:59 PM CEST

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