Dear all,
Okinawa Institute of Science and Technology (OIST): The Okinawa Institute of Science and Technology Graduate University (OIST; see www.oist.jp) is a dynamic new graduate university of science and technology in Okinawa Prefecture, Japan. The university is located on 85 hectares of protected forestland overlooking beautiful shoreline and coral reefs. The campus is striking architecturally, and the facilities are outstanding (OIST campus video tour). There are no academic departments, which facilitates multidisciplinary research. Outstanding resources and equipment are provided and managed to encourage easy access and collaboration. English is the official language of the University, and the university research community is fully international, with more than 50 countries represented. OIST is rapidly gaining recognition in the worldwide academic community as a model for excellence in education and research.
Machine Learning and Data Science (MLDS) unit (https://groups.oist.jp/mlds)
In the machine learning and data science (MLDS) unit, we focus on developing fundamental machine learning algorithms and solving important scientific problems using machine learning. We are currently interested in statistical modeling for high-dimensional data, including kernel and deep learning models and geometric machine learning algorithms, including graph neural networks (GNN), optimal transport problems, sparse learning, and weakly supervised methods. Moreover, we are interested in machine learning applied to histopathology and GWAS.
Position summary:
We focus on developing machine learning algorithms and accelerating scientific discovery using machine learning. More specifically, we are working on deep learning models for small sample data, distributed/federated learning, graph neural networks, and optimal transport methods. Moreover, with collaborators, we are working on finding new therapeutic targets for Acute Myeloid Leukemia (AML) using machine learning methods.
(Required)
(Preferred)
Full-time, the position is initially for three years and can be extended to 2 more years based on performance and mutual agreement.
Compensation in accordance with the OIST Employee Compensation Regulations
Benefits:
Apply by uploading your Submission Documents to here.
* Prior to the start of employment all new hires are required to successfully complete a background check. Personal information including employment history and academic background should be submitted to third-party administrators after a conditional offer of employment.