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Interdisciplinary Data Science and Applied Research● OpenOpen until filledPreview

Doctoral Programme in Energy, Health, Matter & Data Science

Join a structured PhD programme at Helmholtz-Zentrum Dresden-Rossendorf to advance cutting-edge research in data-driven science.

Best for:Best for recent master’s graduates with a strong background in physics, chemistry, engineering, or data science seeking a structured PhD programme with interdisciplinary research opportunities.

Helmholtz-Zentrum Dresden-Rossendorf · Dresden, Germany · R1 · First-stage researcher
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Deadline
Until filled
rolling
Funding
Salaried
Public sector pay scale (details vary by position)
Start date
Flexible (any time for doctoral programmes)
Full-time
Location
Dresden
Germany

Overview

The Helmholtz-Zentrum Dresden-Rossendorf (HZDR) offers a structured doctoral programme focused on energy, health, matter, and data science. This programme provides an interdisciplinary environment for young researchers to tackle complex societal and scientific challenges. Participants benefit from a combination of advanced research projects and a comprehensive training curriculum covering management, communication, publishing, and career development. The programme collaborates with leading universities and research centres, ensuring a world-class academic foundation and support network. Doctoral researchers engage in tailored projects, with opportunities to specialise in areas like integrated data science, hybrid AI models, and robust data analysis.

structured PhD programmedata-driven researchinterdisciplinary scienceenvironmental and life sciencesphysics-based AIunstructured data miningresearch data managementHelmholtz Graduate Schools

What you'll do

  • Conduct independent research within a structured doctoral project aligned with energy, health, matter, or data science.
  • Develop and apply data-driven methods to address complex societal and scientific challenges.
  • Participate in a certified training curriculum covering coordination, communication, scientific publishing, and career development.
  • Engage in interdisciplinary collaboration with partner universities and research centres.
  • Contribute to research data management, ensuring FAIR (Findable, Accessible, Interoperable, Reusable) data standards.
  • Present research findings at bi-weekly seminars and annual retreats.
  • Participate in mandatory training sessions, including hackathons and workshops on good research practice and ethics.

Requirements

Degree required: Master's degree (or equivalent) in physics, chemistry, electrical engineering, materials science, or related fields

Degree offered: PhD

Language: English; B2 proficiency required (proof via placement test or interview), German A2 recommended (no proof required)

Instruction: English

Required skills
  • Strong academic background in physics, chemistry, engineering, or data science
  • Proficiency in scientific research methods and data analysis techniques
  • Ability to work independently and collaboratively in interdisciplinary teams
  • Basic knowledge of research data management principles
Nice to have
Experience with machine learning or AI techniquesFamiliarity with data-driven modelling and simulation toolsProficiency in programming languages such as Python or RInterest in interdisciplinary research at the interface of data science and environmental/life sciences
Eligibility
  • Open to students who hold or are about to earn a Master's degree (or equivalent)
  • No nationality restrictions mentioned
  • No age limits specified
  • No prior experience caps mentioned

Funding & terms

Type
Salaried
Amount
Public sector pay scale (details vary by position)
Duration
4 years (main research) + 1 year (writing and transferable skills)
Programme
Helmholtz Graduate Schools, DFG Research Training Groups, and other state-level funding
Helmholtz Association, German Research Foundation (DFG), State funding

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Applicants should check the HZDR jobs website for open positions and follow the application instructions provided. The programme has no fixed deadline, but specific projects (e.g., IDEAS) may have application periods. Applications are submitted via the HZDR application portal.

Documents required
  • CV
  • Motivation letter
  • Proof of Master's degree or equivalent (or confirmation of imminent graduation)
  • Proof of English proficiency (B2 level)
  • Transcripts of academic records
  • Letters of recommendation (number not specified)
↗Check programme and admissions

Contact

HZDR Doctoral Programme Office· Application Contact

https://www.hzdr.de/db/Cms?pNid=151

Lab
HZDR Doctoral Programme (with IDEAS School for Integrated Data Science)
Helmholtz-Zentrum Dresden-Rossendorf
Helmholtz Graduate Schools, DFG Research Training Groups, and other state-level fundingGermany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.