We increase the quality and trust in science!
About the Company
In today’s research landscape, combating fabricated, plagiarized, and AI-manipulated images has become increasingly critical. Imagetwin is dedicated to fighting scientific misconduct by creating advanced technology that detects image-related issues in research. Their SaaS platform is trusted by thousands of users, including major publishers, academic institutions, and researchers, to ensure the integrity and quality of published work. Join Imagetwin to develop technology that exposes fraud, protects research authenticity, and rebuilds confidence in science.
About the Role
The position centers on applying computer vision techniques to identify AI-generated, altered, or plagiarized images among vast datasets. During the first year, the focus will be on hands-on research and establishing a new research team. As the team grows, the role will evolve to include managing and leading this group. The outcomes of research will be turned into refined products that serve a broad customer base.
Key Responsibilities:
- Develop and apply computer vision methods to detect AI-generated, manipulated, and plagiarized images.
- Lead research efforts and build a high-performing, collaborative team focused on solving challenging image analysis problems.
- Translate research insights into polished software solutions used by thousands of clients.
Qualifications:
- Expertise in machine learning, computer vision, and image processing research.
- Strong desire and ability to build and manage a research team.
Benefits:
- Competitive gross salary starting at €85,000, with room for higher pay based on experience.
- Equity ownership, offering a meaningful stake in the company’s success.
- Flexible hybrid working environment (remote and office), with no mandatory core hours.
- Social and wellness perks including company events, yoga classes, free snacks and beverages, and recreational activities like table tennis.
- Opportunity to make a significant impact by improving the reliability and trustworthiness of scientific research.