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CFD Jobs Database - Job Record #17262

Job Record #17262
TitlePhD Position on Turbulent Multiphase Flows
CategoryPhD Studentship
EmployerOtto-von-Guericke-Universität Magdeburg
LocationGermany, Magdeburg
InternationalYes, international applications are welcome
Closure DateWednesday, September 15, 2021
Description:
The Emmy Noether Group for Dispersed Multiphase Flows was established at the 
Chair of Mechanical Process Engineering in January 2021 and is funded by the 
German Research Foundation. One of our objectives is to investigate the 
cultivation of mesenchymal stem cells on suspended microcarriers and deduce 
recommendations for the upscaling to industrial sizes of microcarrier-based 
bioreactors. In this regard, we develop a probabilistic modelling framework for 
describing particle-laden flows that naturally accounts for the small-scale 
interactions between turbulence, metabolic processes and microcarrier dispersion.

Background: Mesenchymal stem cells are not only the progenitors of skeletal 
tissues, but also possess the capacity to orchestrate regenerative and trophic 
processes in other tissues. For this reason, they are sometimes referred to as 
injury drugstores. In regenerative therapies, mesenchymal stem cells are 
extracted from a donor's bone marrow, expanded in culture and, subsequently, 
transplanted into patients for treating diseases as different as asthma, multiple 
sclerosis and diabetes. One challenge associated with the cultivation of 
mesenchymal stem cells is that the cells require a surface to adhere to in order 
to proliferate. In a technology that is currently investigated, the cells are 
seeded on so-called microcarriers (about 200µm-sized beads) and agitated in a 
nutrient medium. The dispersion of microcarriers in a moving nutrient medium is a 
multiphase flow in which fluid mechanical transport modulates the cells' nutrient 
uptake and viability and microcarrier collisions may cause the formation of 
aggregates.

This position: Within the scope of the present project, the large eddy simulation 
(LES) framework will be amended by a probabilistic description of the interaction 
between the chemical medium composition and the microcarrier dispersion. The 
spatial distribution of the microcarriers as well as potential changes in their 
properties are described with the aid of a population balance equation (PBE). An 
important related task is the synthesis of detailed biochemical kinetics for the 
rates of nutrient uptake, metabolite release and cell fission. For the numerical 
solution of the governing equations, a Monte Carlo method will be developed and 
combined with a sliding mesh approach. The joint modelling/solution framework 
will be instrumented to predict the cell yield in a family of bioreactors and 
assess the influence of operating strategies. The Research Assistant is expected 
to complete a PhD based on her/his project work.

Your primary responsibilities:
- Consolidation of biochemical kinetics governing metabolic processes and cell 
  fission
- Integration of the reaction kinetics into an existing framework for 
  heterogeneous surface reactions
- Formulation of a population balance equation for the property distribution of 
  microcarriers
- Development of a probabilistic description for the turbulence-mediated 
  interactions between the medium composition and microcarriers
- Development and implementation of a stochastic numerical solution method (Monte 
  Carlo) and combination with a sliding mesh approach
- Validation of the physical model based on existing experimental measurements
- Comparison of different operating strategies based on cell stress exposure, 
  microcarrier collision rates and cell yield
- Participation in the development of our in-house simulation tools using the 
  programming languages C and Fortran
- Supervision of student projects and theses
- Leading tutorials and organizing plenary exercises
- Cooperation and exchange with our colleagues at the Chair of Mechanical Process 
  Engineering

Your profile:
- MSc degree or equivalent in mechanical engineering, process engineering, 
  physics or applied mathematics
- Proven track record in translating physical problems into computer-solvable 
  tasks using numerical methods
- Strong background in heat and mass transfer and fluid mechanics
- A strong interest in computational fluid dynamics
- First experience in developing, debugging and profiling software
- Coding experience in C/C++, Fortran or Matlab
- First teaching experience, for example, as a student teaching assistant
- Fluent command of written and spoken English; experience in academic writing

For further information about the position, please contact Dr. Fabian Sewerin 
(fabian.sewerin(at)ovgu.de).

In addition to all the usual social benefits of the public sector, we have more 
to offer, such as the possibility of flexible working hours. Modern working 
conditions, a wide range of training and development opportunities, and a 
positive work environment that is highly valued by our employees distinguish us 
as an employer. We also offer a wide range of sports and leisure activities, 
extensive catering in our canteens and cafeterias as well as workplace health 
promotion.

Applications from disabled persons will be given priority in the case of equal 
suitability, ability and professional expertise. The Otto-von-Guericke University
 strongly promotes gender equality in all professional areas.

Please note that a Statement of Comparability (SoC) for foreign educational 
qualifications from the Central Office for Foreign Education (ZAB) must be 
available at the time of recruitment. The SoC is fee-based and has to be applied
 for by the certificate holder. For more information, please follow 
https://www.kmk.org/zab/central-office-for-foreign-education/statement-of-
comparability-for-foreign-higher-education-qualifications.html.

Please note the information for storage of personal data: https://www.uni-
magdeburg.de/Datenschutz_Bewerber.html

Please send your complete application (cover letter detailing your motivation, 
prior experience and suitability, curriculum vitae) by September 15, 2021 (date 
of receipt of application) using the online application portal:
https://ovgu.b-ite.careers/jobposting/c90fc02485fa27ec3805e3b9e4186663116f3c560?ref=homepage
Contact Information:
Please mention the CFD Jobs Database, record #17262 when responding to this ad.
NameFabian Sewerin
Emailfabian.sewerin@ovgu.de
Email ApplicationNo
Phone+49 391 67 52190
URLhttps://www.mvt.ovgu.de/People/Dr_+Fabian+Sewerin-p-252.html
Record Data:
Last Modified12:12:18, Friday, July 23, 2021

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