[Background of the recruitment and description of the project]
* Background of the recruitment and description of the project
We are seeking a talented deep-learning/machine-learning engineer to work on environmental acoustic AI. The successful candidate will develop optimized, scalable deep-learning models for the detection and classification of highly invasive anuran species, using audio data recorded, in the first instance, with passive acoustic monitoring sensors.

[Work content and job description]
Responsibilities:
1.Develop deep-learning models for acoustic classification of alien invasive anuran species
2.Employ state-of-the-art methods, such as generative AI and hyper-parameter tuning, to enhance model performance and scalability
3.Collaborate with a multidisciplinary team to integrate models into larger environmental AI projects
4.Maintain proper documentation in our centralized Wiki
5.Provide regular progress reports and dissemination of research results

Why Join Us:
1.Be part of a pioneering team addressing critical environmental challenges through modern AI
2.Enjoy the unique and inspiring setting of Okinawa while advancing your own career
3.Get access to a wide range of professional development opportunities, apply for patents (if interested), and network with a diverse scientific community

* Assigned department
Existing departments

[Work location]
* Address
904-0495 Okinawa 1919-1 Tancha, Onna-son, Kunigami-gun

[Number of hired]
Number of hired:1 person(s)