Research Associate for The Project "dfg Research - Hamburg, Deutschland - Universität Hamburg
Beschreibung
Research Associate for the Project "DFGResearch Training Group:
Modelling, Simulation and Optimization of Fluid Dynamic Applications" - 28 Subsection 3 HmbHG
- InstitutionFaculty of Mathematics, Informatics and Natural Sciences, Department of Mathematics
Start date , fixed until This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).
Application deadline
Scope of workpart-time
Weekly hours75 % of standard work hours per week
Responsibilities:
Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications.
Specific Duties
PhD project M2.
2 at Universität Hamburg:
There is a big variety of ideas and realisations on how to use renewable energies to produce directly heat energy or electrical energy, ideally in a highly efficient way.
The aim of this topic requires a detailed modeling of a complete power station with its various components. We plan to focus on solar and non-solar based realisations.
Mathematically in almost all the cases we have to model, analyze and optimize transient, coupled thermo-fluid dynamic processes for complex fluids.
Major tasks:
- to model the fluid dynamics (liquid, air, water vapor etc., phase transitions)
- to simulate the dynamics
- to optimize certain quantities such as net power output
Requirements:
Solid mathematical background in differential equations and their numerics.
To be open minded towards complex physical systems.
PhD project O1.
2 at Universität Hamburg:
- Convex Integration
2 at Technische Universität Hamburg (TU Hamburg):
- efficient model-order reducing approaches to unsteady optimization
- optimization of unsteady propeller-hull-interaction
- robust & risk aware transient optimization. Examples included should address shape optimization of energy saving devices for modern propulsion systems.
(1) Application of quantum-inspired tensor network methods to formulate reduced-order models for wall-bounded flows. (2) Formulation of classical Finite Volume building blocks using Matrix Product State and Matrix Product Operator formats. (3) Transfer of Tensor Network simulations to Quantum gate level simulations using variational quantum methods. Examples included should address laminar/turbulent attached and separated wall-bounded engineering shear flows.
PhD project S2.
2 at Technische Universität Hamburg (TU Hamburg):
Applicants should perform research in the development of iterative solvers for linear systems of equations arising in fluid flow problems.
The objective of this project is the development and analysis of rank-structured preconditioners for sequences of linear systems resulting from such meshfree discretizations of fluid flow problems.
Requirements:
A university degree in a relevant field.
Applications should only include the following material in one pdf-file:
- cover letter (no more than two pages)
- a list of publications
- a list of conference attendances
- transcripts of records for their Bachelor and Master studies
- a short indication of their current position, affiliation, and supervisor(s)
Applications should at this point not include reference letters or any other supplementary material, e.g. copies of theses or publications.
We offer
- Reliable remuneration based on wage agreements
- Continuing education opportunities
- University pensions
- Attractive location
- Flexible working hours
- Worklife balance opportunities
- Public transport pass (ProfiTicket) and much more
- Health management
- Educational leave
- 30 days of vacation per annum
As a flagship university in the greater Hamburg region, it nurtures innovative, cooperative contacts to partners within and outside academia.
It also provides and promotes sustainable education, knowledge, and knowledge exchange locally, nationally, and internationally.Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.
Instructions for applying
Contact
Prof. Dr. Armin Iske
Prof. Dr. Thomas Rung
Reference number
- 164Location
20146 Hamburg
Application deadline
PDF Download
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