Constructor Institute of Technology PhD Scholarship 2026 (Fully Funded)

  • Published: August 24, 2026
  • Deadline: August 31, 2026
  • Category: Fully Funded
  • Oppotunity Locations: Germany

Applications are currently being accepted for the Constructor Institute of Technology PhD Scholarship 2026, Interested applicants are encouraged to click here to learn more about this opportunity and apply for for it.

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About Constructor Institute of Technology PhD Scholarship

Constructor PhD Scholarship 2026 in Germany supports PhD positions in Computer Science focused on wearable intelligence, multimodal data fusion, and edge AI. The scholarship provides full financial coverage and a research-centered doctoral experience in interdisciplinary topics such as AI/ML, edge computing, cognitive science, and human–computer interaction.

The program is offered by Constructor University in collaboration with Constructor Technology and Constructor Knowledge Labs, enabling close collaboration with academia and industry. Doctoral students will have access to specialized courses, industrial testbeds, and institutional support for external funding and mobility grants.

Benefits of Constructor Institute of Technology PhD Scholarship

  • 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)
  • Full financial coverage through a dedicated fellowship
  • Institutional support and references for external funding and mobility grants

Constructor Institute of Technology PhD Scholarship Requirements

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

Application Date and Process

  • Submit Curriculum Vitae (CV)
  • Provide academic transcripts
  • Include a letter of motivation outlining research interests and career goals
  • Provide 2 recommendation letters
  • Apply by the deadline: August 31, 2026

Application Deadline

31 August, 2026

Opportunity Application

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