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PhDFunded PhD employment with salary/pension under the published appointment terms; usually three years.

PhD Scholarship in Machine Learning for Non-Stationary and Non-Static Nano-Tomography - DTU Compute

Last verified 10 November 2026 by the Scholarships for Africans editorial team

Funded PhD employment with salary/pension under the published appointment terms; usually three years.. International candidates considered; relevant two-year master’s/120 ECTS or equivalent, English and project-specific skills. Computing, applied mathematics, physics or engineering; strong ML and sc

Provider
Technical University of Denmark (DTU)
Host country
Denmark
Deadline
16 November 2026, 23:59 CET

Eligibility & requirements at a glance

Review the recorded eligibility, funding and deadline information below. Confirm the current award conditions on the provider's official source.

Who can apply
International candidates considered; relevant two-year master’s/120 ECTS or equivalent, English and project-specific skills. Computing, applied mathematics, physics or engineering; strong ML and scientific-programming skills. A salaried doctoral appointment, subject to academic enrolment; salary follows the stated agreement. Not a cash scholarship for an existing degree.
Funding
Funded PhD employment with salary/pension under the published appointment terms; usually three years.
Study level
PhD
Deadline
16 November 2026, 23:59 CET

Key eligibility criteria

  • International candidates considered; relevant two-year master’s/120 ECTS or equivalent, English and project-specific skills. Computing, applied mathematics, physics or engineering; strong ML and scientific-programming skills. A salaried doctoral appointment, subject to academic enrolment; salary follows the stated agreement. Not a cash scholarship for an existing degree.

Recorded funding information

  • Funded PhD employment with salary/pension under the published appointment terms; usually three years.

About the PhD Scholarship in Machine Learning for Non-Stationary and Non-Static Nano-Tomography - DTU Compute (2026)

**Funding:** Funded PhD employment with salary/pension under the published appointment terms; usually three years. **Who can apply:** International candidates considered; relevant two-year master’s/120 ECTS or equivalent, English and project-specific skills. Computing, applied mathematics, physics or engineering; strong ML and scientific-programming skills. **Conditions:** A salaried doctoral appointment, subject to academic enrolment; salary follows the stated agreement. Not a cash scholarship for an existing degree. **How to apply:** Use the official Apply Now form; submit the English application, CV, degree records and other documents required by this call. **Deadline:** 16 November 2026, 23:59 CET **Cycle:** 2026/27 recruitment Always confirm details on the official page before applying.

Funding information

The funding information below is recorded in this listing; it does not establish additional covered components. Check amounts, caps, exclusions and conditions on the official source.

  • Funded PhD employment with salary/pension under the published appointment terms; usually three years.

PhD Scholarship in Machine Learning for Non-Stationary and Non-Static Nano-Tomography - DTU Compute eligibility

Always cross-check eligibility against the sponsor's official site before applying — sponsor rules can change between intakes.

  • International candidates considered; relevant two-year master’s/120 ECTS or equivalent, English and project-specific skills. Computing, applied mathematics, physics or engineering; strong ML and scientific-programming skills. A salaried doctoral appointment, subject to academic enrolment; salary follows the stated agreement. Not a cash scholarship for an existing degree.

PhD Scholarship in Machine Learning for Non-Stationary and Non-Static Nano-Tomography - DTU Compute document information

No explicit document checklist is recorded here. If an application is required, prepare only the materials the provider requests.

    How to apply for the PhD Scholarship in Machine Learning for Non-Stationary and Non-Static Nano-Tomography - DTU Compute 2026

    Follow the provider's stated process. The checks below are guidance, not additional application requirements. Any original editorial instructions remain in the description above.

    1. 1
      Listed application information

      ** Use the official Apply Now form; submit the English application, CV, degree records and other documents required by this call.

    2. 2
      Check the provider's process

      Consult https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/8417/ to confirm whether consideration is automatic or requires an application, and follow only the process stated there.

    3. 3
      Check eligibility and any requested materials

      Listed eligibility: International candidates considered; relevant two-year master’s/120 ECTS or equivalent, English and project-specific skills. Computing, applied mathematics, physics or engineering; strong ML and scientific-programming skills. A salaried doctoral appointment, subject to academic enrolment; salary follows the stated agreement. Not a cash scholarship for an existing degree.. Confirm the current criteria and, if submission is required, use the provider's own checklist.

    4. 4
      Check dates and next steps

      Listed deadline information: 16 November 2026, 23:59 CET. Confirm any cutoff, time zone and follow-up process with the provider.

    PhD Scholarship in Machine Learning for Non-Stationary and Non-Static Nano-Tomography - DTU Compute deadline & application timeline

    Provider deadline information: 16 November 2026, 23:59 CET. This text cannot be safely converted to a countdown; check the official source for its meaning. The earlier milestones are optional planning suggestions only.

    1. Planning suggestion: 12 months out

      Check the current call and decide whether this opportunity fits your plans.

    2. Planning suggestion: 6 months out

      If the provider requires tests or documents that take time, plan for them using its published instructions.

    3. Planning suggestion: 3 months out

      If an application is required, review the provider's process and prepare only the materials it requests.

    4. Planning suggestion: 1 month out

      If submission is required, allow time to check your materials and any stated cutoff.

    5. Provider deadline
      16 November 2026, 23:59 CET

      Provider deadline information: 16 November 2026, 23:59 CET. Confirm the current instructions and any cutoff or time zone on the official source; no additional time is assumed here.

    Ready to apply?

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    Editorial verification note

    Official page rechecked 10 Nov 2026 (batch 01). Fixed deadline confirmed on page.
    Last checked 11/10/2026

    Frequently asked questions

    Who can apply for the PhD Scholarship in Machine Learning for Non-Stationary and Non-Static Nano-Tomography - DTU Compute?+

    International candidates considered; relevant two-year master’s/120 ECTS or equivalent, English and project-specific skills. Computing, applied mathematics, physics or engineering; strong ML and scientific-programming skills. A salaried doctoral appointment, subject to academic enrolment; salary follows the stated agreement. Not a cash scholarship for an existing degree.

    What funding does the PhD Scholarship in Machine Learning for Non-Stationary and Non-Static Nano-Tomography - DTU Compute offer?+

    Listed funding: Funded PhD employment with salary/pension under the published appointment terms; usually three years.. Confirm amounts, exclusions and conditions on the official source. This label does not establish any additional benefit components.

    When is the application deadline?+

    Provider deadline information: 16 November 2026, 23:59 CET. Confirm the current cutoff and any time zone on the official source; no additional cutoff or late-submission policy is assumed here.

    What documents do I need to apply?+

    No explicit document checklist is recorded here. If an application is required, prepare only the documents requested by the provider; requirements may differ from admission requirements.

    How do I check the application process?+

    ** Use the official Apply Now form; submit the English application, CV, degree records and other documents required by this call. Consult https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/8417/ to confirm whether consideration is automatic or requires an application, and follow only the process stated there. Listed eligibility: International candidates considered; relevant two-year master’s/120 ECTS or equivalent, English and project-specific skills. Computing, applied mathematics, physics or engineering; strong ML and scientific-programming skills. A salaried doctoral appointment, subject to academic enrolment; salary follows the stated agreement. Not a cash scholarship for an existing degree.. Confirm the current criteria and, if submission is required, use the provider's own checklist. Listed deadline information: 16 November 2026, 23:59 CET. Confirm any cutoff, time zone and follow-up process with the provider.

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