Detailed information
Work location : Kyushu and Okinawa district - Okinawa
Date of publication : 2025/04/11
Environmental AI Technician
D125040839
Okinawa Institute of Science and Technology Graduate University
Research field : Informatics - Computational science
Researcher/Postdoc level : Contract employee - Nontenured - Non-tenure track - Probationary period present
R&D/Engineer : Contract employee - Nontenured - Non-tenure track - Probationary period present
Job description
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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.
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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
Biological Physics Theory Unit
Job type
- Researcher/Postdoc level
- R&D/Engineer
Research field
- Informatics - Computational science
Wages
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Common to all Job Types
Annual Salary : 4 million yen ~ 7 million yen
Compensation in accordance with the OIST Employee Compensation Regulations.
Base salary indicated does not include additional allowances (housing allowance, commuting allowance, arrival allowance, relocation expenses covered).
Working hours
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Common to all Job Types
Working hours :09:00-17:30
Overtime and other explanations : Discretionary Working Hours System:
In the discretionary labor system for specialized work, the employee shall be deemed to have worked 7 hours 30 minutes per day.
Application requirements
Qualifications
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Education and Degree Requirements
Ph.D. / Doctor / Master
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Description
Qualifications:
(Required)
1.MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field
2.Strong understanding of machine-learning/deep-learning, including convolutional neural networks
3.Working knowledge of software development principles, Python programming, and associated ML frameworks (Tensorflow, PyTorch)
4.Excellent teamwork and communication skills
(Preferred)
The below are desirable, but for a suitable candidate they could also be developed as part of the project:
1.Knowledge of modern deep-learning architectures, such as transformers/generative AI.
2.Experience with acoustic classification models (e.g., BirdNet [1])
3.Knowledge of Edge AI Engineering
[1] Kahl, S., Wood, C. M., Eibl, M., & Klinck, H. (2021). BirdNET: A deep learning solution for avian diversity monitoring. Ecological Informatics, 61, 101236.
Employment Type
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Common to all Job Types
Contract employee
Contract period
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Common to all Job Types
Nontenured - Non-tenure track
Full-time, fixed-term appointment for 1 year. Contract initially with 6-month probationary period (inclusive). This contract may be renewed by taking into consideration the performance, conduct, and behavior of the Employee and OIST’s financial and other circumstances.
Probationary period present
6 months
Work location
- 904-0495 Okinawa 1919-1 Tancha, Onna-son, Kunigami-gun
Compensation
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Supplementary explanation of compensation
Benefits:
Relocation, housing and commuting allowances
Annual paid leave and summer holidays
Health insurance (Private School Mutual Aid)
Welfare pension insurance (kousei-nenkin)
Worker's accident compensation insurance (roudousha-saigai-hoshou-hoken)
Access to Child Development Center
Access to Schooling Options
Language Education
Resource Center (Daily Life Support in Okinawa)
Remote Work system
Application Considerations
Number of hired
1 person(s)
Application period
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2025/04/11~2025/05/31 Deadline for receipt
Application deadline will continue until the position is filled. (Applications will be screened upon arrival)
Application method
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Attached documents
Application Form : Online SubmissionAchievements and Activities : Online SubmissionOther online application forms
Please submit the following documents with your application:
•Cover letter (English)
•Curriculum vitae (English)
•Names and contact information of 2-3 referees, one of which should be a previous employer
URL of this job posting
Selection / Notification of result
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Selection
After screening of the written application, an online or on-site interview will be arranged.
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Notification of result
We will contact applicants by email
Contact details
Okinawa Institute of Science and Technology Graduate University
Biological Physics Theory Unit
Kosmas Deligkaris
kosmas.deligkaris@oist.jp
Notes
