Postdoc Position in Data-Driven Environmental Assessment for Land and Air Transport

Royal Institute of Technology School of Engineering Sciences

Postdoc Position in Data-Driven Environmental Assessment for Land and Air Transport

School of Engineering Sciences at KTH

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.

Job description

As part of a cross-departmental initiative, the department of Engineering Mechanics announces a postdoc position within the thematic area of Energy, Transport and Future Mobility on the topic of data-driven environmental assessment for land and air transport.

The environmental impact from transportation is of great concern due to the growing global demand for passenger mobility. Noise and pollutant emissions, as the two major environmental stressors contributing to the burden of disease in Western Europe, are key to the future of healthy, sustainable cities.

This project aims to support sustainable transport systems for healthier, smart cities by developing a multidisciplinary tool for the assessment of the cumulative environmental impact of noise and pollutant emissions from land and air transport. By merging the impact of noise and pollutant emissions from a multi-modal transport system perspective, this work will enable a refined assessment of the main contributors, leading to the implementation of truly optimal mitigation strategies. With the potential to address conflicting requirements for a sustainable transport system, such as improved traffic efficiency vs. reduced pollutant and noise emissions, the proposed project further contributes to the monitoring and definition of scenarios in the initiated transformation towards an electrified transport system.

The implementation of the tool will be based on deep-learning techniques for reconstructing dense data from sparse measurements, and for developing innovative approaches to sustainable development. The researcher will conduct numerical simulations of emissions and acoustic data, and will be responsible for developing the various deep-learning tools and models for pollutant emissions from land and air transport for a combined environmental assessment. Measurement-based input will also be used from areas close to Arlanda airport. This is a highly multidisciplinary project, where the researcher will closely interact with deep-learning experts within the Swedish e-Science Research Centre (SeRC), experts in acoustics from the Marcus Wallenberg Laboratory (MWL) and the ECO2 Research Center, and experts in sustainable aviation from the KTH Centre for Sustainable Aviation (CSA).

This position is one of eight postdoc positions in the thematic areas Biomechanics, Health and Biotechnology,

Advanced Material and Structures,

Energy, Transport and Future Mobility, and

Advanced Computing and Machine Learning.

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 and dynamic working environment
  • Works in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH
  • You will become part of a multidisciplinary research team highly experienced in numerical simulations, machine learning and sustainability.

Read more about what it is like to work at KTH



  • A doctoral degree or an equivalent foreign degree, a suitable background for this position would be a PhD in Mechanical or Aerospace Engineering or Applied Physics or Computer Science with a specialization in scientific computing, computational methods and/or applied mathematics. obtained within the last three years prior to the application deadline (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).

Preferred qualifications

  • Research expertise.
  • Scientific skills, including excellent programming skills in an HPC environment.
  • Awareness of diversity and equal treatment issues with a particular focus on gender equality.
  • Excellent English communication skills, both written and oral.

In addition to the traditional academic merits, a relevant degree project, international experience, and language skills are regarded as advantageous qualifications. Applicants must possess the ability to work independently and perform critical analysis as well as possessing good levels of cooperative and communicative abilities.

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.

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 longer than 6 months
Contract type Full time
First day of employment According to agreement
Salary Monthly salary
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number S-2021-0369
Assistant Professor Evelyn Otero Sola,
Published 12.Mar.2021
Last application date 15.Apr.2021 11:59 PM CET