Research on AI-Generated Image Detection and Image Generation

JD Code: DS-8-10

Course Name

Data Science course

*You can choose from the above courses as the department (position) in which you would like to work.

Job Details

We are conducting research and development on technologies to distinguish between AI-generated fake images and human-generated images (photos or illustrations). While the following themes are envisioned, we are open to flexibility and will adjust according to the candidate's expertise in discussion with a mentor:

• Explainable AI (XAI) for fake image detection, providing justifications for decisions
• Fake image detection using 3D reconstruction techniques from images
• Research on likelihood estimation in image generation models such as diffusion models and flow models

Depending on the theme and outcomes, we aim to submit papers for publication.

Required Experience/Skills

• Basic knowledge of Linux
• Experience with PyTorch implementation
• English reading comprehension skills necessary for literature surveys

Preferred Experience/Skills

• Knowledge of image processing techniques such as frequency filtering
• Understanding of 3D reconstruction technologies like Gaussian splatting
• Understanding and implementation experience with density transition models (e.g., diffusion models, flow-based models)
• Experience in writing academic papers in English

We encourage applications from individuals with expertise in other fields who have ideas on how to connect their expertise with this theme.

Duration of the Internship

1/9/2025 ~ 24/10/2025 (8weeks)

*The duration is negotiable.
*In principle, 2 days a week, excluding Saturdays, Sundays, and public holidays.
*The standard working hours are from 10:00 to 18:45, including a 1-hour break.
*Details will be discussed and determined upon join.

Internship Format & Location

Hybrid

*This internship will follow a hybrid working style, primarily remote with some in-office work.
*Details will be discussed with the host organization (position) upon join.
*The office location for in-office attendance for this position is the Kioicho Office.

Compensation

• Hourly wage of 2,600 yen
  
• Provision of a PC
• Reimbursement for transportation and accommodation costs when commuting to the office (with a cap)*

*If eligibility criteria are met

Application Requirements

• Currently enrolled students without any full-time employment experience (excluding high school students)
• Individuals who already possess a work visa for Japan
• Those with a network environment at home suitable for work
• Individuals residing in Japan during the internship period

Selection Steps

• Step1

  Course selection

  From April 15th（Monday）to May 19th（Monday）10:00
• Step2

  Coding test

  From May 19th（Monday）to May 26th（Monday）10:00
• Step3

  Interview

  Mid-June
• Step4

  Notification of results

  Mid-July

*Your preferred department (position) will be confirmed at the time of the test.
*Interviews at the desired department (position) will be arranged based on the test results and your preferences.

Application Deadline

19/5/2025 10:00

*The coding test will be distributed after the deadline.

Notes

• When submitting the web test, you will be asked to provide multiple answers for your desired JD (position).
• You can only apply for multiple positions within the same course.
• If you wish to change the course you have selected, please contact us via My Page by 10:00 on May 20th (Monday).