勤務地 : Kyushu and Okinawa district - Okinawa
公開開始日 : 2025/04/11
D125040839
Okinawa Institute of Science and Technology Graduate University
研究分野 : 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
業務内容
募集の背景、プロジェクトの説明
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.
仕事内容・職務内容
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
配属部署
Existing departments
Biological Physics Theory Unit
職種
研究分野
給与
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).
勤務時間
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.
募集要項
応募資格
応募に必要な学歴・学位
Ph.D. / Doctor / Master
説明
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.
雇用形態
Common to all Job Types
Contract employee
契約期間
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
勤務地
待遇
待遇ー補足説明
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
応募上の配慮
採用人数
1 person(s)
募集期間
2025/04/11~2025/05/31 Deadline for receipt
Application deadline will continue until the position is filled. (Applications will be screened upon arrival)
応募方法
応募書類
Other 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
公募のURL
選考・結果通知
選考内容
After screening of the written application, an online or on-site interview will be arranged.
結果通知方法
We will contact applicants by email
連絡先
Okinawa Institute of Science and Technology Graduate University
Biological Physics Theory Unit
Kosmas Deligkaris
kosmas.deligkaris@oist.jp
備考