The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at the company seeks to recruit a Research Engineer to support the design and implementation of interactive AI and data science platforms across the Center’s research clusters. The successful candidate will collaborate with researchers and faculty across domains such as Foundations of Data Science, Enabling Technologies, Health, Education and Personalized Learning, and Bias, Ethics & Privacy, contributing to the development of prototypes, interfaces, and software infrastructure that translate research outputs into usable tools.
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Key Responsibilities:
- Design, develop, and maintain web-based and AI-powered platforms supporting CIDSAI research projects.
- Collaborate with faculty and postdocs on projects such as Mathematical Collaboration Platform, Personalized Learning Systems and SmartClass AI Tutors, Health-focused conversational AI and multimodal interfaces, and Bias detection and fairness-aware tools for ethical AI.
- Integrate machine learning models, visualization dashboards, and backend services.
- Contribute to data collection, testing, documentation, and dissemination of open-source resources.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- Strong programming skills.
- Experience with machine learning frameworks and backend systems.
- Familiarity with cloud computing, API integration, data visualization, and database management.
- Ability to work in interdisciplinary research environments bridging theory, applications, and ethics.
Appointment Details:
The appointment is for two years, with the possibility of renewal. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately, and candidates will be considered until the position is filled.
To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a maximum three-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format.
Language Requirements: Not explicitly stated, but the diverse student body indicates a multilingual requirement.
For further inquiries, please contact Professor Pierre Youssef at [email protected].
