Resumen de la oferta
KTH Royal Institute of Technology in Stockholm, Sweden, offers a two-year full-time postdoctoral position in Acoustics-Based Traffic Sensing at the Marcus Wallenberg Laboratory. The role focuses on developing next-generation sensing systems using roadside microphones, signal processing, and machine learning to monitor traffic flows and noise in real time. Researchers will deploy sensor units, validate results against reference measurements, and create APIs for municipal users. Key responsibilities include scientific publishing, co-supervising students, and contributing to innovation proposals. Candidates must hold a doctoral degree with strong expertise in at least two areas: acoustics, signal processing, machine learning, sensor systems, or embedded systems. Proficiency in English and good programming skills are required. Preferred qualifications include recent graduation, experience with edge deployment, and collaboration with non-academic stakeholders. The position emphasizes personal skills such as curiosity, independence, and commitment to diversity.
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Descripción del proyecto
Job description
Join KTH's research in engineering acoustics at the Marcus Wallenberg Laboratory (MWL) and develop the next generation of acoustics-based traffic sensing. Cost-effective roadside microphones, combined with signal processing and machine learning, can provide continuous, real-time information on traffic flows, vehicle types and traffic noise, whereas cities today rely on short and intrusive measurement campaigns.
The position is part of two projects funded by Digital Futures, carried out together with the City of Stockholm, Nacka municipality and other municipalities in the region: a societal innovation project expanding an acoustic sensor network across the Stockholm region, and a proof-of-concept project developing a validated roadside monitoring system. You will build on established testbeds and unique datasets from Stockholm's urban environment.
You will deploy acoustic sensor units in urban environments, develop robust methods for detecting and classifying vehicle pass-bys, from processing on the sensor (edge) to the cloud, validate the results against reference measurements, and make data available through APIs and visualisation tools for municipal users. The position also includes scientific publishing, co-supervising students and contributing to new proposals and innovation activities.
Qualifications
Requirements
- A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made.
- Strong background in at least two of the following areas: acoustic measurements, signal processing, machine learning, sensor systems or embedded systems.
- Documented research experience through scientific publications.
- Good programming skills, for example in Python.
- Proficiency in English, both written and spoken, as it is used in daily work.
As a person, you are curious, independent and motivated by research with practical impact. You demonstrate:
- Teaching abilities
- Awareness of diversity and equal opportunity issues, with specific focus on gender equality
- Independence
Preferred qualifications
- A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
- Experience with acoustics-based traffic monitoring or with detection and classification of vehicles from sound.
- Experience deploying sensors or measurement systems in the field over long periods.
- Experience with machine learning for audio or time-series data, including deployment on edge devices.
- Experience with data pipelines, databases, APIs or web-based visualisation.
- Previous collaboration with non-academic stakeholders (municipalities, government agencies, industry).
- Interest in innovation and in the utilisation of research results.
Great emphasis will be placed on personal skills.
Join us at KTH
KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.
Learn more about our benefits and what it's like to work and grow at KTH.
Trade union representatives
Contact information totrade union representatives.
To apply for the position
Log into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad.
The application must include:
- 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.
- Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Maximally two pages long.
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.
Other information
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It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant's consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
KTH Royal Institute of Technology
Stockholm, Sweden