Job offer

• Designing algorithms to unify multimodal signals (physiological, cognitive, contextual, scheduling, and learning data).
• Developing pipelines that produce structured insights powering the Agentic Personalization Engine (APE).
• On-device data processing & performance modeling
• Developing models balancing computation, energy, and data flows across wearable, edge, and cloud environments.
• Exploring feasibility of running compact micro-LLMs directly on wearables.

The overarching goal is to create scalable, ethical, and transparent personalization systems that support education and research.

Funding

The appointment provides full financial coverage through a dedicated fellowship, comprising:

• Monthly stipend of €1,650
• Monthly research-cost allowance of €100 (Forschungskostenpauschale)
• Health-insurance subsidy of €100 per month
• Supplementary €603 mini-job allowance to support parallel part-time employment (optional)

Constructor Knowledge labs actively supports candidates in preparing applications for external funding - doctoral scholarships, foundations, or international mobility grants - and can provide institutional support and references

• MSc degree (or equivalent) in Computer Science, AI/ML, Data Science, Cognitive Science, or related disciplines.
• Strong background in AI/ML, signal processing, or edge computing.
• Hands-on experience with wearable or multimodal data (e.g., heart rate, EEG, activity, sleep, GPS).
• Solid mathematical and computational modeling skills.
• Proficiency in academic English writing (e.g., reports, papers, theses).

Preferred qualifications:

• Experience with LLMs, multimodal data fusion, or agent-based AI systems.
• Familiarity with privacy-preserving ML, dynamic consent, and GDPR-compliant frameworks.
• Demonstrated ability to conduct independent research and collaborate across disciplines.
• Interest in teaching, mentoring, and applied industrial research., Research Field Computer science

Education Level Master Degree or equivalent

Languages ENGLISH