Since 2004 Tomax has created cutting-edge digital solutions for higher education.
We specialize in the end-to-end management of the entire exam and assessment lifecycle.
Our software empowers universities and colleges to efficiently, effectively, and expertly prepare, manage, grade, review, control, and secure the exam and assessment process.
In this role, you will work directly alongside our CTO and engineering team on active production systems serving tens of thousands of students worldwide. Your work will directly shape our core product, blending immediate real-world impact with rigorous research depth.
The role focuses on, but is not limited to, two primary tracks:
1. Exam Integrity & Behavioral Analysis: The core research challenge is evolving from isolated signal detection to unified behavioral analysis-fusing multiple data streams into a coherent, explainable integrity model (Explainable AI).
2. AI for Educational Assessment & Analytics: We are looking for a researcher to uncover insights and drive high-impact AI implementations.
Requirements
- Current PhD student in Computer Science, Data Science, Machine Learning, Computer Vision, NLP, or a related quantitative field.
- Strong software engineering fundamentals and practical, hands-on ML experience.
- Demonstrated research autonomy: ability to formulate hypotheses, design and run experiments, and communicate findings effectively.
- Comfort working with noisy, unstructured, real-world data
- Background in video/audio processing, behavioral modeling, or anomaly detection.
- NLP expertise, particularly with Hebrew or multilingual domain models.
- Exposure to EdTech, psychometrics, or learning analytics.
- Familiarity with cloud infrastructure (AWS).
- Naturally curious and proactive; able to formulate hypotheses and test ideas independently.
- Bridges academic depth with product reality; comfortable navigating noisy, real-world data.
- Agility & Self-Management- Skillfully context-switches between PhD demands and engineering team paces.
- Entrepreneurial mindset to uncover hidden insights in datasets and propose new features.
- Articulate and collaborative; simplifies complex AI concepts for the CTO and dev team.
Skills Required
- Current PhD student in Computer Science, Data Science, Machine Learning, Computer Vision, NLP, or a related quantitative field
- Strong software engineering fundamentals and practical hands-on machine learning experience
- Ability to formulate hypotheses, design and run experiments, and communicate findings effectively
- Comfort working with noisy, unstructured, real-world data
- Background in video/audio processing, behavioral modeling, or anomaly detection
- NLP expertise, particularly with Hebrew or multilingual domain models
- Exposure to EdTech, psychometrics, or learning analytics
- Familiarity with AWS cloud infrastructure
- Curiosity, proactivity, and ability to formulate and test ideas independently
- Ability to bridge academic research with product and engineering requirements
- Ability to manage competing PhD and engineering responsibilities
- Entrepreneurial mindset for identifying dataset insights and proposing product features
- Articulate and collaborative communication skills, including simplifying complex AI concepts
What We Do
Empowering Institutions to Enhance Assessment Practices and Confidently Embrace Digital Transformation. Since 2004, Tomax has developed cuttinging-edge digital solutions for education. We specialise in streamlining and enhancing the entire assessment lifecycle across a range of assessment types and modes of delivery. Our end-to-end digital assessment platform and standalone LMS modules seamlessly streamline and enhance both online and offline assessment processes, offering tailored solutions for each partner institution. Our suite of assessment tools and professional services are in use at more than 100 universities and colleges covering over 500,000 students and 8m tests per year – with international expansion activities currently in progress.
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