Postdoctoral Fellow, Urban Carbon Emissions Modeling Job at the UNIVERSITY OF HELSINKI


Measured in the number of students and teachers, the Faculty of Science at the University of Helsinki is Finland’s largest science faculty. There are approximately 6,000 students who take a basic degree. Of these, around 1,000 are postgraduate students. There are some 500 international students and more than 200 foreign researchers and teachers.

The Atmosphere and Earth System Research Institute (INAR) is a multi and interdisciplinary research unit based in physics, chemistry, meteorology, forest sciences, environmental sciences and social sciences at the University of Helsinki . INAR aims to strengthen the internationally leading integrated multidisciplinary research and teaching environment for atmospheric and earth system science and to feed scientific results for national and international environmental policy. and climate. He conducts research at multiple scales, from molecular to global scales, and focuses on climate change, air quality, biogeochemical cycles and ecosystem processes. INAR has INAR Finland network partners at the Finnish Meteorological Institute, the University of Eastern Finland and the Tampere University of Technology.

The Faculty of Science is launching a call for applications for


from 2022 for a two-year fixed-term contract in the Artificial Intelligence Project of the Academy of Finland for Low Emission Urban Autonomous Traffic (AIforLEssAuto).

The post-doctoral fellow will work in the urban meteorology group of INAR ( The group studies the urban atmosphere, air quality and greenhouse gas cycle using a wide range of methodologies, including the turbulent covariance technique, land surface modeling and large-scale simulations.

AIforLEssAuto is a joint research project between the University of Helsinki and the University of Aalto bringing together atmospheric science and artificial intelligence researchers and traffic engineers. The objective of the project is to understand how autonomous electrified traffic should be organized during the transition period where gasoline and electric, manual and automated vehicles will coexist within city traffic in order to reduce carbon emissions from traffic. The post-doctoral researcher will be responsible for developing methods and performing model simulations to estimate the electric consumption of vehicles in different road traffic scenarios developed using AI, to estimate the CO2 emissions linked to consumption , analyze data and participate in the construction of reward functions for machine learning. functions for use in traffic flow simulations. Teaching can take up to 5% of the annual 1612 hour working time.

The applicant must

  • hold a doctorate in a field relevant to the research subject such as atmospheric sciences, machine learning, data analysis or engineering;
  • demonstrate a strong interest in emissions modeling and sustainable traffic transformation;
  • Knowledge of a programming language such as Python, Matlab, R or Fortran
  • Good written and spoken English skills.

Finland is a member of the EU, has free high quality education (also in English), generous family allowances and healthcare. The University of Helsinki is one of the top 100 universities ranked in most rankings and invests heavily in Earth system research. Please consult https: // … The University of Helsinki welcomes applicants from various genders, linguistic and cultural backgrounds and minorities.

The working language is English. The salary for the position will be 3,300 to 3,700 euros / month, depending on the qualifications and experience of the appointees. The position will be filled for a trial period of 6 months. In addition, the University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities and professional development opportunities. The university helps employees from abroad in their transition to work and life in Finland (

How to register?

Please submit your application (as a single pdf file) including

  • Cover letter,
  • Curriculum vitae,
  • Research statement (max. 2000 words) with a brief description of previous experience and research interests, as demonstrated for example in a doctoral thesis, and a motivation statement explaining why you are applying for the position.

You must use the University of Helsinki’s electronic recruitment system via the ‘Apply for the job’ link. Applicants who are employees of the University of Helsinki are requested to leave their application through SAP Fiori The deadline for submitting applications is January 7, 2022.

For more information, please contact Associate Professor Leena Järvi, [email protected]

Due date

01/07/2022 11:59 PM ET


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