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

• 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

• 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"

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