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Constructor PhD Scholarship 2026 in Germany | Fully Funded

Germany

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Closes Aug 31, 2026 · 8 days left
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Application opens on the official site (constructoruniversity.wd103.myworkdayjobs.com). Scholarship Union does not collect applications.

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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.

Constructor PhD Scholarship Benefits

  • 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

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Constructor PhD Scholarship Eligibility Criteria

  • 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.

How to Apply for Constructor PhD Scholarship

  • 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

Frequently Asked Questions (FAQs)

Here are the most frequently asked questions about the Constructor PhD Scholarship 2026. These answers cover eligibility, benefits, research focus, application requirements, and deadlines for prospective doctoral candidates.

What is the focus of the PhD position?

The PhD position focuses on wearable intelligence, multimodal data fusion, and edge AI. Research aims include transforming wearable data streams into structured knowledge, integrating them into a knowledge-grounded digital avatar, and developing privacy-preserving, real-time personalization frameworks for education and research.

Who is offering the scholarship?

The scholarship is offered by Constructor University in close collaboration with Constructor Technology and Constructor Knowledge Labs. Doctoral students will work with both academic and industry partners and gain access to industrial testbeds and prototypes.

What financial support is provided?

The appointment provides full financial coverage through a dedicated fellowship: a monthly stipend of €1,650, a monthly research-cost allowance of €100, a health-insurance subsidy of €100 per month, and a supplementary €603 mini-job allowance for optional part-time employment.

What are the mandatory eligibility requirements?

Mandatory requirements include an MSc degree (or equivalent) in Computer Science, AI/ML, Data Science, Cognitive Science, or related disciplines; a strong background in AI/ML, signal processing, or edge computing; hands-on experience with wearable or multimodal data; solid mathematical and computational modeling skills; and proficiency in academic English writing.

Are there preferred qualifications?

Preferred qualifications include experience with LLMs, multimodal data fusion, or agent-based AI systems; familiarity with privacy-preserving ML and GDPR-compliant frameworks; demonstrated independent research ability; and interest in teaching, mentoring, and applied industrial research.

What research topics will the PhD cover?

Research topics include wearable data analytics and fusion methods, biomedical data analytics, on-device processing and performance modeling, personalization and adaptive reasoning systems, and AI for Education. The project also explores running compact micro-LLMs on wearables and balancing computation, energy, and data flows across devices.

What documents are required to apply?

Applicants must submit a Curriculum Vitae (CV), academic transcripts, a letter of motivation outlining research interests and career goals, and two recommendation letters. These documents are listed as required in the application details.

Is industrial experience part of the program?

Yes. As part of the program, students will collaborate with Constructor Technology to gain first-hand industrial experience, contributing to real-world testbeds and prototypes while pursuing their doctoral dissertation.

Can the program support applications for external funding?

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 to successful applicants.

What is the application deadline?

The application deadline is August 31, 2026. Applicants are expected to submit all required documents by this date to be considered for the PhD position and the associated fellowship.


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Sheikh Mahdia Ahmed Lima is a content developer and writer with 2+ years of experience creating research-driven, student-focused educational content. She has authored 1,155+ articles for Scholarship Union, specializing in scholarships, study abroad opportunities, and academic guidance. Her background in research coordination enables deep literature reviews, rigorous fact-checking, and clear structuring of complex topics. She helps students worldwide discover verified opportunities and make informed academic decisions.

Joined Jul 21, 2025
Published
Updated Aug 23, 2026
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