PhD: Segregation of Multi-component particle mixtures (Industrial Dense Granular Flows project) (3mE20-31)

Updated: about 6 hours ago

PhD: Segregation of Multi-component particle mixtures (Industrial Dense Granular Flows project)

Department/faculty: Faculty Mechanical, Maritime and Materials Engineering
Level: University Graduate
Working hours: 38.0 hours weekly
Contract: 4 years
Salary: 2325 - 2972 euros monthly (full-time basis)

Faculty Mechanical, Maritime and Materials Engineering

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

Department Maritime and Transport Technology (MTT)

The essence of Maritime and Transport Technology is to develop, design, build and operate marine, dredging and transport systems and their equipment. Future large-scale industrial transport systems require the further development of the knowledge of the dynamics and the physical processes involved, the logistics of the systems and the interaction between the equipment and control systems. Specifically, modeling machine cargo interaction and logistics on an industrial scale while maintaining local details is one of the foremost challenges for increasing process efficiencies while limiting environmental impact.

Job description

We are looking for an enthusiastic and ambitious candidate fascinated by granular materials within industrial scale processes.

This funded 4-year PhD project focusses on improving process efficiency of the iron making process by enhanced understanding of handling processes of the raw materials (iron ore, sinter, coke, additives) related to the blast furnace. Key aspects include: (1) investigating spatial distribution and segregation of polydisperse multi-component mixtures in the charging process and various handling steps, (2) establishing a numerical DEM model to capture the material behaviour and interactions on global and local scale, (3) developing test setup to validate the material model behaviour under realistic flow regimes.

The developed model will be used to introduce novel control strategies for optimal material charging to achieve higher blast furnace process efficiency.

This specific project with Tata Steel is one of four PhD projects within the Industrial Dense Granular Flows project funded by the Dutch Research Council (NWO) to develop validated numerical models for complex nature of granular matter.

More information on the TEL section can be found here:


  • A Master degree in Mechanical Engineering, Chemical or Process Engineering or Civil Engineering, preferably with a background in granular materials, powder technology, bulk solids handling or related topics.

  • Experience in numerical modelling and analytical/computational tools for particle based systems such as DEM software.

  • Have good demonstrable communication and team-working skills.

  • Have demonstrable knowledge/experience of experimental measurements and data analysis.

  • Have proficiency in English (English certificates will be required, such as IELTS and TOEFL).

Conditions of employment

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit for more information.

Information and application

For information about this vacancy, you can contact Dr Dingena Schott, email: [email protected] , phone: +31(0)152783130 or Dr Yusong Pang, email: [email protected] .

For information about the selection procedure, please contact Mrs Nathalie van Benthem, HR advisor, email: [email protected] .

To apply, please submit one pdf file including

(1) an application letter

(2) a detailed CV along with contact details of 2 referents

(3) a proof of English proficiency by 1 May 2020

to [email protected] .

Refer to the vacancy number 3mE20-31 in the subject.

Enquiries from agencies are not appreciated.

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