Showing posts with the label Master Scholarships

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Master Thesis - Optimized sintering of advanced tungsten-based SMART materials for fusion reactors using field assisted sintering technology and finite element modelling

  The master thesis contains two parts: In the first part, FEM is used to investigate the temperature and current density distribution of a square and a polygon-shaped FAST/SPS sample. The linear size of the samples is 100 mm. Based on the results, geometrical parameters like wall thickness of die and thickness of thermal insulation material will be systematically varied to find the optimum tool dimensions and shape for reducing thermal gradients to a minimum. In the second part, deformation behavior of a mechanically alloyed W-11.6Cr-0.6Y powder in this tool is modelled for ensuring full and homogeneous densification of square and polygon shaped samples with linear size of up to 100 mm. The FEM modeling of FAST/SPS process and the subsequent model validation in the dedicated FAST/SPS experiments is extremely important for physics and engineering understanding of FAST/SPS technique. Adapting an existing FEM model to square and polygon shaped FAST/SPS tools Investigation and optimiza

Master Thesis - Distributed memory parallelization of CubeLib library using MPI

  Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of following dimensions: performance metric, call path, and system resources. Each dimension can be represented as a tree, where the non-leaf nodes can be collapsed or expanded to achieve the desired level of granularity. CubeLib, as a part of the Cube framework, is a general purpose library, which is used in the cube_server tool to access and process the Cube profile data. Currently the cube_server tool and the CubeGUI are using shared memory parallelization approach within the single compute node. The goal of the master thesis is to develop a prototype of the CubeLib using distributed memory parallelization approach, incorporate it in the cube_server tool and conduct a performance analysis. Your tasks will include: Development of the prototype of parallelization algorithm Its incorporation in the CubeLib and the cube_serve

Master Thesis - Biochemical Modification of Conductive Protein Fibers for the Next-Generation Bioelectronics

  The Master thesis project aims to develop a novel biochemical approaches for the manipulation of conductive cable bacteria fibers. The secret of cable bacteria conductivity is in their periplasmic fibers, which are highly conductive. These fibers should be extracted from the cable bacteria for further processing. Electrical and electrochemical characterizations of these fibers will be performed to investigate their intrinsic properties. Furthermore, chemical cell fixation and fluorescence in situ hybridization protocols will be established and optimized to examine the internal structures of the fibers. In addition, the biocompatibility and long term stability under cell culture conditions will be evaluated. On the long term, these fibers will be used to decorate microelectrodes for the recording of action potentials from electrogenic cells. Your tasks will include: Performing and optimizing protocols for the chemical extraction of biological fibers and fixation of bacterial cells

Master thesis – Investigation of redox stability of a solid oxide cell stacks based on acoustic emission method

  In the department "Electrochemical Process and System Technologies" of IEK-9, research and development activities in the field of solid oxide cells (SOCs) focuses primarily on optimizing the performance and lifetime of stacks and systems for various applications. SOCs are electrochemical energy converters with a solid oxide ceramic electrolyte, which are typically operated at high temperatures and can achieve very high efficiencies. When operated as a fuel cell (Solid Oxide Fuel Cell: SOFC), electrolysis (Solid Oxide Electrolysis Cell: SOEC) or co-electrolysis, or even in reversible mode (reversible Solid Oxide Cell: rSOC), the SOC offers great potential for defossilization of a wide range of applications. In order to exploit this potential in the future, it is necessary to improve the competitiveness of SOCs by increasing performance, reducing degradation and minimizing manufacturing costs. One challenge that restricts the lifetime of SOC is the stability of the fuel el

Master Thesis - Hardware-in-the-Loop Demonstrator for Particle Detector Read Out

  Our team is working on integrated circuits for the read out of particle detectors. Our main goal is to serve a wide range of sensor types, which requires highly adjustable electronics with scaling power consumption based on performance. We consider the complete processing chain, including analog front end, digitization stage and digital signal processing. For detailed studies of all components as system, we want to build a demonstration and verification setup that incorporates our custom analog to digital converter (ADC), together with a front end and a Field-Programmable-Gate-Array (FPGA) for the digital content. Specific tasks are: Setup of an arbitrary waveform generator as signal generator Setup of the ADC with control software Incorporating a FPGA as a hardware-in-the-loop model to be programmed and controlled by Matlab/Simulink Integrating all stages with our already existent Matlab software and perform measurements to demonstrate the system’s performance Your Profile: Current

Master Thesis - Towards measuring haemodynamic activity and electrophysiology at the patient bedside using simultaneous fNIRS/EEG

  Our group is working on a project on integrated fNIRS/EEG data acquisition in patients with psychiatric disorders. Psychiatry as research has shown that changes in brain networks occur at different levels during short and long term pharmaco- and psycho- therapeutic interventions. These different changes are important to capture and using fNIRS/EEG to capture these brain dynamics can pave the way to understanding psychiatric disorders at a much deeper level. To accomplish this, the proposed study involves a multidisciplinary approach to investigate the feasibility of transferring fMRI-derived outcomes to fNIRS/EEG in a simple resting-state measurement set-up. The outcome of this study will provide a valuable contribution for the optimization of the clinical care for psychiatric patient groups. Master’s students who are pro-active, capable of independent work and have interest in science and research are invited to apply. The project specific task includes: fNIRS/EEG data collection al

Master Thesis - Development of a Biohybrid Synapse on Flexible Substrates

  Neural interfaces are electronic devices that interact with the nervous system to capture and control neural activity, aiming in this way to map neural networks, understand the principles behind neurodegenerative diseases, and/or restore sensorimotor functions. One of the main challenges of current neural interfaces is to achieve seamless integration and mimic from a mechanical, electrochemical, and physiological perspective different nervous tissues. To this end, a 6-month master thesis project is proposed for the development of flexible organic neuromorphic devices, mimicking not only synaptic responses and neural plasticity with organic electrochemical transistors (OECTs) but capturing neural activity with microelectrode arrays (MEAs), and integrating such devices into different nervous tissues (e.g.: retina and brain) using tissue-like materials. Your tasks will include: The fabrication and implementation of joint OECTs and MEAs using flexible and organic polymers The electrical

Master Thesis - Modeling, parameter estimation and model validation of a structure model for porous transport layers

  The focus of this master thesis is the parametrization of a stochastic structure model of a porous transport layer of electrolysers. For validation three dimensional micro-structures of real material are available. Basic models of the micro-structure are available, also tools for transport simulation running on parallel computer clusters. The validation of the basic models shall be supported by phenomenological relationships from literature. Your tasks in detail: Literature review on characterization of porous material Generation of micro-structures, performing transport simulations, and analysis of the results Identification of relationships between micro-structure and macroscopic characteristics Your Profile: Current master studies with excellent marks in Mathematics, Physics, Engineering or comparable subject Excellent knowledge in the field modeling and mathematical optimization Good knowledge of and some experience in a programming language, preferably C++ or Python Fluency in s

Master Thesis - Engineering a Glutamate-Based Artificial Synapse

  Neural interfaces are electronic devices that interact with the nervous system in order to capture and control neural activity, aiming in this way to map neural networks, understand the principles behind neurodegenerative diseases, and/or restore sensorimotor functions. To this end, biomimetic in vitro platforms are being engineered at IBI-3 to investigate and characterize neurodegenerative processes involving synaptic plasticity loss. The 1-year project here proposed will be focused on engineering a glutamatergic artificial synapse exploiting organic electrochemical transistors (OECT) as neuromorphic device. The device will be fabricated by means of electrodeposition and glutamate enzyme will be then immobilized on the surface of the OECT to investigate glutamate detection as well as the neuromorphic response. Your tasks will include: Fabrication of the organic neuromorphic device by means of electrodeposition Chemical functionalization with glutamate enzyme Electrical characterizat

Master Thesis: Simulation-based analysis of traffic flow and travel times for the deployment of automated and connected vehicles

  Your Job: Literature review on the state of traffic flow simulation for conventional and automated vehicles (approaches, available models) Determination of data requirements and data acquisition Development and implementation of a suitable model approach Implementation of automated and connected driving in the model Parameterization of the traffic flow simulation and validation of travel times with empirical data Your Profile: Current master studies in engineering, computer science, mathematics, or a comparable field of study Good programming skills in Python Experience with microscopic and macroscopic traffic simulations Fluent oral and written proficiency in English Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: Highly motivated and international working group in one of the largest research institutions in Europe Outstanding scientific and technical infras

Master Thesis - Development of Ultra-Conformal Neural Implants

  Intending to characterize neuronal networks, diagnose, and treat medical diseases, one of the research fields in our institute is the development of penetrating neural implants for reading and modulating the neural activity of the brain and other nervous tissues in in vivo applications. However, different physical and biological challenges must be addressed before the intended application becomes available to society. These neural implants are needed to harmonize with the mechanical properties of the target tissue, thereby reducing foreign body reactions that can lead to scar tissue and further implant rejection. To this end, this project aims to develop a ultra-conformal intracortical implant based on polymeric thin film composites, such as polyimide, parylene-C, and polydimethylsiloxane. Your tasks will include: The simulation of the mechanical behavior of thin film composites using different polymer materials The fabrication and implementation of polymeric thin film composites for