PhD in Bioacoustic AI (Closed)

Hummingbird,Green-crowned,Brilliant,,Heliodoxa,Jacula,,Green,Bird,From,Costa,Rica

AI-enhanced sound event localization and detection via microphone arrays

Would you like to develop AI algorithms to help understand animal sound? To monitor biodiversity across Europe? To collaborate with AI and biodiversity experts, as part of a team and with partners in many European countries?

10 PhD positions within prestigious EU funded project available

The consortium is now looking for PhD Doctoral Candidates in Bioacoustic AI. We have ten fully-funded positions available, within a project that reaches across various countries: The Netherlands, Germany, France, Belgium, Czechia, Finland, and the UK. As a PhD candidate you will be based at a university/institution in one of these countries, and you will work on your project in teamwork with experts in both AI and ecology/zoology. You will also collaborate with project partners in other European institutions, including extended research visits for in-depth collaborations.

Some of the PhD projects focus on developing AI/signal processing algorithms. Some of the PhD projects focus on ecological questions or animal behaviour. The animals of interest include different species of terrestrial insects, birds, bats and other mammals.

The Fun stuff @ Sorama

You will be working from our headquarters at Strijp-T, a 5-minute walk from the Eindhoven Strijp-S train station. Our office includes a chill balcony and an amazing rooftop, where we occasionally have BBQs and drinks. 

The coffee is great (and free), but you also have the opportunity to partially work from home.

PhD in Bioacoustic AI (Closed) - Bio acoustics PhD -

AI-enhanced sound event localization and detection via microphone arrays

Sorama BV, The Netherlands. Primary supervisor: Dr Jin-Jack Tan. Academic supervisor: Dr. Dan Stowell (Tilburg University).

Objectives: A dense microphone array (e.g. Sorama L642) can provide accurate localization information of sound sources using acoustic beamforming. While accurate, beamforming is computationally expensive. A common workaround is to manually specify the target spatial regions and frequency ranges, often performed in situ and relies on the judgement of the user. This is made even more challenging in wildlife monitoring, as the spatial range is expansive, and wildlife sounds occur at different frequencies (often up to 20kHz, and ultrasonic for bats/insects), Furthermore, data collection is affected by constant interfering sound sources (e.g. traffic noise from a nearby road), weather conditions and environments change (wind, rain, rustling leaves, change of seasons) while the monitoring is to be carried out unsupervised. The objective of this project is to resolve the challenges in sound event localisation encountered in such demanding monitoring situations. The approach taken will be based on the profiles of the recruited candidate.

We are looking for a suitable candidate to join our team as soon as possible. Therefore, we will not wait until the application deadline to review the applications and conduct interviews. If you are interested in this position, please apply as early as you can to increase your chances of being selected.

Application deadline: 04/01/2024

The position is offered by Sorama BV and the candidate is expected to work on-site in Eindhoven, the Netherlands, and is able to commute to the location. At the same time, the candidate will be regis-tered at Tilburg University for his/her PhD candidacy. This position will be full-time, and run up to 4 years. The planned start date for this position is in Q1 2024.

The algorithm will be trialled through: (a) physical lab simulations e.g. a chorus of grasshoppers simulated through controlled loudspeaker arrays; (b) in situ trials with monitoring organizations in the BioacAI network (bats/grasshoppers/birds according to pilot study outcomes).

Candidates will have the opportunity to fulfil secondments at different partner institutions such as at KU Leuven (BE) and the Bat Conservation Trust (UK).

Essential knowledge, skills and experience

  • An MSc (completed, or soon to be awarded) in a topic relevant for the PhD such as machine/deep learning, (array) signal processing, computer science, acoustics, (applied) mathematics;
  • Evidence of the ability to conduct high-quality research and write scientific text;
  • Good written and oral communication in English;
  • Good planning and time management skills;
  • The ability to work independently as well as collaboratively within the research group;
  • Proficiency in programming e.g. Python, R, C/C++, PyTorch, Tensor flow;
  • Willingness to travel for academic research visits and/or fieldwork;
  • Willingness to learn skills from multiple disciplines (e.g. computer science, ecology).
  • Experience of working with audio data (sound recordings),
  • Experience of working with machine learning algorithms, especially deep learning,
  • An interest in/affinity with biodiversity, and the field of natural sciences and biology,
  • Experience in the agile way of working

Desirable knowledge, skills and experience

Eligibility requirements

You must fulfil the EU’s “mobility rule” for this funding scheme, which means you should not have resided or carried out your main activity (work, studies, etc.) in the PhD host country for more than 12 months during the 36 months prior to starting the PhD. You must not already have a doctoral degree. You must also be eligible to work according to your host country’s regulations (e.g. visa requirements), and also to travel/work to other European countries for collaborations and workshops.

The funded positions include a yearly salary of approximately 41.000 EUR, which includes holiday and mobility allowance, excluding allowances for family/special needs if required, under the terms of EU MSCA funding.

To apply, please submit (1) a letter of motivation, (2) your academic CV, (3) the names and contact details of two references. Submit these as one joined PDF document.

If you have any questions please contact Dr Jin Jack Tan via jin.jack.tan@sorama.eu.

This PhD is one of ten in the BioacAI project. Please do also consider applying to other positions shown at https://bioacousticai.eu/. 

We adhere to The European Charter for Researchers and The Code of Conduct for the Recruitment of Researchers. 
BioacAI has received funding from the European Union’s Marie Skłodowska-Curie Action under grant agreement No 101116715

Let's have a talk,see if we're on the same wave length.

If you are looking for a great place where you can work on your passion with the right approach, then you should definitely consider applying at Sorama. We have no specific role description, because we are looking for likeminded people who want to work according to our holistic approach. It is your personality we are looking for. Due to our holistic approach, you can shape your own role which can be quite different from your colleagues.

Contact - Get in touch with Sorama.
Search