Facts

Number of employees
1.500
Category
PhD position
Location
Germany, Saxony, Dresden
Area of responsibility
Computer science, Engineering, Natural sciences
Start date (earliest)
15.08.2025
Full/Part-time
19,5
Remuneration
TVöD-Bund
Working language and expected level
  • English (Fluent in speech and writing)
Homepage
https://www.hzdr.de
Career website
https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=74949

Contact

Reference number
2025/88
Contact person
Dr. Raimon Tolosana Delgado
Contact phone number
+49 351 260 4415

Apply

Application deadline
22.06.2025
Reference number
2025/88
Online
https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=74949

PhD Student (f/m/d) to work in Modelling ore fabrics along comminution to predict liberation

Helm­holtz-Zen­trum Dres­den-Ros­sen­dorf e.V.

With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today.

At the Helmholtz Institute Freiberg for Resource Technology (HIF), innovative technologies for the circular economy are developed to provide and use mineral and metal-bearing raw materials more efficiently and to recycle them in an environmentally friendly way.

The Department of Modelling and Evaluation is looking for a

Tasks

Develop a methodlogy to predict breakage and liberation, including:

  • Develoment and implementation of parametric, fast preferential breakage models, e.g. with stochastic tessellations
  • Development and implementation of estimation methods for the model parameters, e.g. with machine learning or statistical methods
  • Lab work and collection of samples and structured metadata along lab scale comminution experiments and validation of modelling results
  • Evaluation of the forecasting capabilities of the methodology integrated within a flowsheet simulation with flotation
  • Presentation of own results at international conferences, in peer-reviewed journal publications and in a PhD thesis
  • Cosupervision of related MSc topics and cooperation with other associated PhD topics is highly encouraged

Requirements

  • Completed university studies (Master/Diploma) in STEM fields with strong background on process modelling, applied mathematics, process engineering, geometallurgy or related field
  • Experience in either stochastics, deep learning or minerals processing is needed
  • Structured and solution-oriented working style, analytical thinking and above-average committment
  • Excited about working in interdisciplinary teams in an international environment
  • Very good English communication skills, written and oral
  • Very good programming skills in at least one high level language (e.g. Julia, Python, R) are a requirement
  • Good programming skills in a low level language (e.g. C/C++, Fortran) will be considered advantageous

What we offer

  • A vibrant research community in an open, diverse and international work environment
  • Scientific excellence and extensive professional networking opportunities
  • A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR can be found here
  • Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)
  • We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours
  • Numerous company health management offerings
  • Employee discounts with well-known providers via the platform Corporate Benefits
  • An employer subsidy for the "Deutschland-Ticket Jobticket"

How to apply

We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=74949

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