2026 Fully Funded NHR Scholarship in Germany

Forum 2 months ago

2026 Fully Funded NHR Scholarship in Germany

The National High-Performance Computing (NHR) Graduate School in Germany is offering fully funded NHR Scholarships to German and international students. The NHR Graduate School Scholarship offers a fully funded opportunity that covers tuition for three (3) years, a monthly stipend of €2,200, training workshops, soft skills sessions, and mentorship.

Eligibility

  • Have completed a master’s degree program in the fields of computer science, mathematics, natural sciences, engineering, or a comparable field

  • Meet the admission requirements for doctoral studies of the supervising NHR Center

  • Additional acceptance requirements may be specified in the subject-specific doctoral regulations. Only the information in the respective valid version of the corresponding doctoral regulations of the universities is binding

  • Applicants of all genders, nationalities, and backgrounds are eligible to apply.

Value

  • The scholarship is awarded for a maximum period of 36 months.

  • PhD students receive 2,200 EUR per month

  • Supervision by internationally renowned researchers: Get the chance to collaborate on groundbreaking research projects, pushing the boundaries of HPC and making a real impact in the field

  • Cutting-edge training: Gain access to first-class training programs and workshops conducted by renowned experts, who will equip you with the latest knowledge and skills in HPC

  • Six months of research outside the chosen focus at another NHR Center (Secondment). For additional details, please refer to the Secondment Guidelines

  • Networking opportunities: Connect with like-minded individuals, professionals, and researchers in the HPC community, and make valuable connections for your future career

  • Additional training offers, such as soft skills seminars, career coaching, and mentoring program

Type: PhD
Deadline: September 15, 2025
Eligible Countries: All Countries
Host Country: Germany

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