Master Thesis - Machine Learning in Acoustics
Afry AB / Driftmaskinistjobb / Göteborg
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At AFRY, we bring together cutting-edge digital expertise and technologies in AFRY X. The new AFRY X division is a digital leader and expert hub in industrial IoT, AI, design and cyber security that helps our customers accelerate their digital transformation.
AFRY is a leading European company with a global reach in technology, design and consulting. We are accelerating the transition to a sustainable society. We are 19 000 dedicated experts in infrastructure, industry, energy and digitalization, who create sustainable solutions for future generations.
Job Description
AFRY X are looking for students who want to do their master's thesis with us. For this project we see that you can work individually or in pairs. You will be located at our office in Nordstan, Gothenburg and carry out the project on your own initiative with the help of a supervisor from our data science team.
Note that we have two different projects out and you are welcome to apply to both of them and we will see which one suits you the most.
Filtering unwanted anomalies in long-term noise measurements
Long-running measurements of industrial noise pollution levels in the proximity of residential areas is a common task for acoustic engineers at Efterklang. These measurements are affected by surrounding sounds, including barking dogs, screaming children, passing cars and birdsong. Removing these disturbances is time-consuming, since each anomaly is traditionally identified by a subjective listening method. A model that can identify and classify these anomalies automatically will save Efterklang's engineers a lot of time - time that can be better spent on adopting appropriate measures and designing efficient noise reduction solutions.
Efterklang is AFRY:s acoustics department and you can read more about them here:
https://efterklang.org/Qualifications
We expect you to be familiar with programming in Python. You should also be familiar with common data processing and analysis frameworks such as Pandas and Scikit-learn.
If you have any previous experience or interest within sound or acoustics it is a plus.
Git will be used for version control, so previous experience with that may also be helpful.
Other than this it is important for us to find the right person who identifies with our core values - Brave, Devoted, Team Player.
Additional Information
Time
Spring 2023. Specific starting date to be discussed.
Compensation
You will receive financial compensation after completed project.
Location
You will be located at our office in Nordstan - Gothenburg. This can be combined with remote work.
Recruitment process
Last date to apply is: 16/12
Note that the position may be filled before the last date of application.
Do you have any questions? Feel free to contact us.
Liam Håkansson, Team Lead Future Technologies
liam.hakansson@afry.com Sofia Enander, Recruiter
sofia.enander@afry.comAFRY is committed to creating an inclusive & diverse environment and we are actively looking for qualified candidates irrespective of gender, gender identity, sexual orientation, ethnicity, religion, disability, or age. You will be part of a global and diverse company where our differences are our strengths. Join us to accelerate the transition towards a sustainable society.
Publiceringsdatum2022-11-22Så ansöker duSista dag att ansöka är 2022-12-22
Klicka på denna länk för att göra din ansökanAdressAFRY AB
Grafiska Vägen 2
41263 Göteborg
Omfattning Detta är ett deltidsjobb.
Arbetsgivare Afry AB (org.nr 556120-6474)
Grafiska Vägen 2 (
visa karta)
412 63 GÖTEBORG
Jobbnummer 7192765
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