[AD-DSA] Research Tokyo Student Intern（Intern_TRL）【IBM Japan】

Introduction
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.

Your Role and Responsibilities
This job position is for IBM Japan.

IBM Research – Tokyo looks for highly-motivated students who are in doctoral or master courses in relevant areas for AI and its applications to healthcare (e.g. neuroscience behavioral science medical informatics) or climate & sustainability.

The applicant will work on either topic 1 or 2. When you apply please tell us your preference.
1.Digital Health
2.Climate & Sustainability

[1.Digital Health]Research and Development of digital health technologies for analyzing biological data particularly behavioral sensor data. [2.Climate & Sustainability]We are seeking candidates with proven interest and experience in implementing innovative AI-based technologies for Climate Change solutions such as satellite data analysis and geospatial foundation models. You will work in close collaboration with other researchers and engineers to create maintain and support world-class applications and/or infrastructure. You will also deliver production level-code to support the commercialization of the resulting assets.

Period：3 months or longer in 2024
Time：9:00～17:36 (default)
Reduced working hours can be negotiated:
Place: IBM Japan HQ (Hakozaki) & remote work
Salary(Daily):
9700yen (for master’s)」／10900yen (for doctoral students)」(in case housing allowance is unnecessary)
15700yen (for master’s)」／16900yen (for doctoral students)」(including housing allowance)
Commuting cost will be paid.

Required Technical and Professional Expertise
[1.Digital Health]・Experience of data analysis using Python or Matlab
・Basic knowledge on AI and machine learning
・ Demonstrated verbal and written communication skills

[2.Climate & Sustainability]・Advanced programming skills (Python JavaScript etc.)
・Deep learning library usage experiences such as PyTorch
・System building/debugging/testing skills
・Academic publication/presentation (optional for master student)
・ Demonstrated verbal and written communication skills

Preferred Technical and Professional Expertise
[1.Digital Health]・Academic publication or conference presentation

[2.Climate Change]・Software engineering practices including agile techniques
・Building cloud applications using APIs and services
・Geospatial application programming experiences