PhD Student identifying unknown species and unknown sounds using machine learning


16 Sep 2023
Job Data

Analysis Subject
Researcher Profile
Recognised Researcher (R2)
First Stage Researcher (R1)
Utility Deadline
16 Oct 2023 – 21:59 (UTC)
Sort of Contract
Non permanent
Job Standing
Not Relevant
Hours Per Week
Is the job funded by way of the EU Analysis Framework Programme?
Not funded by an EU programme
Is the Job associated to employees place inside a Analysis Infrastructure?

Supply Description

This PhD challenge considerations  “Figuring out unknown species and unknown sounds utilizing machine studying”. Normal machine-learning classifiers recognise a hard and fast checklist of classes – however new classes come up for a lot of causes. Undiscovered and uncommon species, previously-unheard vocal behaviours, anomalies, even newly-arising species. Massive acoustic datasets exist – for birds, bugs, anurans and extra –  however in lots of instances the knowledgeable evaluation is much from full. Automated recognition strategies should be developed that may account for brand new and unknown classes arising.

On this challenge, you’ll:  

  • Survey, examine and implement machine studying strategies that may coherently accommodate novel/unknown fine-grained classes. 
  • Examine tips on how to scale back biases in sensitivity of classification and novel-class detection. 
  • Examine differing problems with desired and undesired novel courses, e.g. new species versus visitors noise. 
  • Analyse massive multi-year acoustic datasets.
  • Implement and validate an “open-set” sound identification workflow that’s appropriate with public machine studying APIs.
  • Implement user-friendly instruments to automate and improve wildlife monitoring processes, demonstrating a dwell instance of an AI pipeline that wildlife organisations can undertake. 

Whereas the principle focus of this challenge is on AI algorithm growth, you’ll collaborate with different researchers on numerous different points of Bioacoustic AI reminiscent of wildlife ecology. Along with conducting your individual analysis, you’ll attend network-wide coaching workshops and seasonal colleges.    

Particular Necessities

Important data, abilities and expertise:

  • An MSc (accomplished, or to be awarded earlier than the beginning date) in a subject related for the PhD reminiscent of machine studying, sign processing, quantitative biology, bioinformatics, bioacoustics, ecology, zoology, animal behaviour or comparable;
  • Proof of the power to conduct high-quality analysis and write scientific textual content;
  • Good written and oral communication in English;
  • Good planning and time administration abilities;
  • The flexibility to work independently in addition to collaboratively throughout the analysis group;
  • Proficiency in programming e.g. Python, R, C/C++, PyTorch, Tensorflow;   
  • Willingness to study abilities from a number of disciplines (e.g. laptop science, ecology)                                                          

Fascinating data, abilities and expertise:

  • Expertise of working with audio information (sound recordings)                                            
  • Expertise of working with machine studying algorithms, particularly deep studying                    
  • An curiosity in/affinity with biodiversity, and the sector of pure sciences and biology

Eligibility necessities: candidates could be of any nationality. You could fulfil the EU’s “mobility rule” for this funding scheme, which suggests you shouldn’t have resided or carried out your major exercise (work, research, and so on.) within the PhD host nation for greater than 12 months in the course of the 36 months previous to beginning the PhD. You could not have already got a doctoral diploma. You could even be eligible to work based on your host nation’s laws (e.g. visa necessities), and likewise to journey/work to different European nations for collaborations and workshops.

The PhD is deliberate to start in Jan/Feb/Mar 2024.

Extra Data

We offer a vibrant and provoking working atmosphere, with ample help to our scientific employees by our Analysis Coordination Workplace and supply entry to state-of-the-art laboratory amenities and the 43 million pure historical past objects in our assortment. At Naturalis you’ll get the chance to develop your analysis profession and to cooperate with inspiring colleagues. We provide a contract (36 hours per week, fulltime) for a interval of 1 yr, to be prolonged with three years after profitable analysis and a month-to-month beginning wage of  € 3,187,-  gross per thirty days. You additionally get an allowance for journey bills, vacation allowance (8%) and year-end bonus (3.4%). 


Choice course of

To use, please submit (1) a letter of motivation, (2) your tutorial CV, (3) the names and speak to particulars of two references. Submit these as one joined PDF doc utilizing the software kind by way of the hyperlink under

Utility deadline: Monday sixteenth October 2023.

Extra feedback

To use, please submit (1) a letter of motivation, (2) your tutorial CV, (3) the names and speak to particulars of two references. Submit these as one joined PDF doc utilizing the software kind by way of the hyperlink under

Utility deadline: Monday sixteenth October 2023.

If in case you have any questions in regards to the PhD place, please contact [email protected] 
Common questions can be addressed to the Challenge Supervisor by way of [email protected]

This PhD is one in every of ten within the BioacAI challenge. Please do additionally think about making use of to different positions proven at 

We adhere to The European Constitution for Researchers and The Code of Conduct for the Recruitment of Researchers. Naturalis endorses the Cultural Range Code. Within the case of equal suitability, desire is given to the candidate who reinforces variety throughout the crew.

BioacAI has obtained funding from the European Union’s Marie Skłodowska-Curie Motion below grant settlement No 101116715

Web site for extra job particulars

Work Location(s)

Variety of provides obtainable
Naturalis Biodiversity Middle in Leiden
Postal Code
2333 CR
Darwinweg 2

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Web site
Darwinweg 2
Postal Code
2333 CR


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