Postdoc in Mathematics, production optimization project with AstraZeneca - Hiring in process/Finished, not possible to apply

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). In the SMART project, you will work at both KTH and on-site in the AstraZeneca manufacturing facilities in Södertälje with a goal to start in January 2023. This will give you the unique opportunity to gain firsthand experience in an industry setting while also contributing to research of the other Postdocs. 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.

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.
• Work in Stockholm, in close proximity to nature
• An appointment at a leading university in collaboration with one of the world’s largest
  pharmaceutical manufacturing units and work with cutting edge technologies.
• 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

Qualifications

Requirements

• A doctoral degree or an equivalent foreign degree (e.g., Operations Research, Optimization, Process Systems Engineering, Machine Learning, or Data Science). 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 or machine learning/AI software.
• Proof of research expertise in optimization/operations research/ML/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
• Research expertise
• Experience/knowledge of one or several of the topics: digital twins, software engineering,
  optimization algorithms, ML/AI, Git, Agile method.
• Experience of simulating production environments
• 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 a 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.

Great emphasis will be placed on personal skills.

Trade union representatives

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

To apply for the position

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

• CV including relevant professional experience and knowledge.
• 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.
• Application Letter. Max 2 pages long describing why you are interested in this project, your research interests and how they relate to your previous studies and future goals.
• Answers the following two questions: - Can you present a project you have worked on that is related to predictive maintenance and/or a to operational condition monitoring? - Can you present a project you have worked on that is related to the development of novel ways to use machine-sensor or IoT technologies to improve a manufacturing process
• Recommendation letters, and list possible 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.

About AstraZeneca Södertälje

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

Others

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.

The position may include security-sensitive activities. To become authorized, you therefore need to pass a possible security check.

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.