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Doctoral Researcher, Continual Learning for Audio / Väitöskirjatutkija, Ääneen keskittyvä jatkuva oppiminen

a month ago

Posted: a month ago

Tampere University

Company: Tampere University

Oct. 31, 2024

Due date: Oct. 31, 2024

Tampere

Location: Tampere

Apply!

Tampere University and Tampere University of Applied Sciences create a unique environment for multidisciplinary, inspirational and high-impact research and education. Our universities community has its competitive edges in technology, health and society. www.tuni.fi/en

Machine Listening Group at the Faculty of Information Technology and Communication Sciences is looking for a Doctoral Researcher. The group is working on computational methods for the analysis and processing of soundscapes, using deep learning for sound event classification and detection, sound localization, and audio captioning. The group is actively involved in DCASE Challenge for pushing forward the development of cutting-edge methods for analysis of environmental audio.

Job description

The research topic for the position to be filled is Continual Learning for Audio, with a focus on classification and detection of everyday sounds and acoustic scenes. Continual learning aims to allow machine learning models to continuously learn new tasks or data sequentially, accumulating knowledge without forgetting the previously learned information. This can be applied to various audio classification tasks, for example sound event or acoustic scene classification, sound event detection, sound event detection and localization.

The candidate is expected to conduct research on the topic, write and present scientific publications in international conferences and journals, and pursue a doctoral degree at Tampere University. Full-time doctoral studies are expected to be completed in four years. More information on the admission process and eligibility requirements is available here.

Requirements

MSc degree in related subjects, e.g. signal processing, machine learning or mathematics
Excellent academic track record
Experience with Python and Pytorch
Proficient in oral and written English

Audio signal processing experience or projects is considered an advantage.

Tampere University is a unique, multidisciplinary and boldly forward-looking, evolving community. Our values are openness, diversity, responsibility, courage, critical thinking, erudition/ Bildung, and learner-centredness. We hope that you can embrace these values and promote them in your work.

We offer

The Machine Listening Group is part of the Signal Processing Research Centre at Tampere University, a highly international academic environment that offers a nurturing and empowering atmosphere for professional and personal growth.

The doctoral researcher position will be filled from December 2024 or as mutually agreed. The position is filled for a fixed-term period until 30 April 2027 (with a possibility for extension). A trial period of six (6) months applies to all our new employees.

The salary will be based on both the job requirements and the employee's personal performance in accordance with the salary system of Finnish universities. According to the criteria applied to teaching and research staff, the position of a Doctoral Researcher is placed on level 2–4 of the job requirements scale. A typical starting salary for Doctoral Researchers is approximately 2600 EUR/month.

We offer a wide range of staff benefits, such as occupational health care, flexible working hours, excellent sports facilities, and several on-campus restaurants and cafés with staff discounts. Please read more about working at Tampere University and working in Tampere, Finland.

Finland is among the most stable, free and safest countries in the world, based on prominent ratings by various agencies. Finland is one of the world's best countries to work and live in.

Tampere is the largest inland city of Finland, and the city is counted among the major academic hubs in the Nordic countries. Tampere region is the most rapidly growing urban area in Finland and home to a vibrant knowledge-intensive entrepreneurial community. The city is an industrial powerhouse that enjoys a rich cultural scene and a reputation as a centre of Finland’s information society. Tampere is also surrounded by vivid nature with forests and lakes, providing countless opportunities for easy-to-access outdoor adventures and refreshment throughout the year.