Placement: Kista

In the ongoing Digitalization and Optimization Journey, one potential application concept have been suggested by the Physics Modelling & Calculation team at Munters: “Dynamic Artificial Intelligence (AI) control optimization and innovation”. Significantly improving dynamic control performance and a concept where the machine will self-optimize its control system to match the dynamics of its environment. As a part of realizing the “Dynamic AI control optimization and innovation” the PMC team needs to recruit specialists in the field of Applied and computational Mathematics.

About Munters

Munters is a global leader in energy efficient air treatment and climate solutions. Using innovative technologies, Munters creates the perfect climate for customers in a wide range of industries. Their aim is to help secure the customers perfect climate, maintaining the efficiency of their equipment and ensuring uninterrupted, fault-free production. Munters has been defining the future of air treatment since 1955. Today, around 3,940 employees carry out manufacturing and sales in more than 30 countries. Munters Group AB reported annual net sales of more than SEK 7 billion in 2019 and is listed on Nasdaq Stockholm. For more information, please visit or watch their video: Your perfect climate

The work assignment

There are three main purposes for the position:

  1. Design and develop procedures to optimize control parameters in real time to enable self-learning systems.
  2. Optimize rotor prediction performance calculations based on Big Data from our customers’ sites.
  3. Together with the AI Software Engineer identify new integrated control systems and strategies to various customer categories and machine models.

Principal tasks: Using Mathematical and optimization algorithms to develop:

1. New control systems in real time

  • a) energy performance (minimize energy use)
  • b) dehumidification/humidification performance
  • c) control stability (especially for dry rooms/low dew point applications

2. Overall system optimization (energy, sustainability or performance purposes) for the integrated systems of core components + heat exchangers,
pre-heaters or heat pumps.

3. Dynamic modelling of customer air spaces to connect the machine outlet dynamics and control system to the air space climate control.

Your profile

·      Minimum educational and experience requirements: Master degree in Applied Mathematics/ Operation Research minimum three years’ of relevant work experience. A doctoral degree within the fields of Applied Mathematics is a merit.

·      Have experience from and interest in the research in Mathematical Optimization and Numerical Analysis.

·      Have experience or being interested in learning Big data tools and techniques to work with large data sets (Big Data) to optimize future product designs and configurations using data-driven algorithms.

·      Design and develop custom algorithms to optimize the control parameters in a fully automated (in-house) software.

·      Have three to four years of experience with Optimization techniques in Applied Mathematics as well as programming experience in C++ and/or C# or other similar object-oriented programming languages.

·      Take initiatives and responsibility for mathematical related tasks and provide the support for R&D projects.

·      Be innovative (personality) to lead the development in novel Optimization strategies for Munters AirTech. Trouble-shooting and problem-solving mindset.

·      Be a team player who like to work very tight in smaller teams with deadlines to keep.

·      Be a doer that is comfortable with delivering and that has a focus on results.

·     Communication skills: fluency in English