Master and Bachelor theses offers

Bachelor Theses offers

Master Theses offers

  • Abstract TLM-based Model for on-Chip Interconnects

    Supervisor: Dr.-Ing. Jan Moritz Joseph
    Description: Using exsiting low-level models for on-chip interconnects, higher-level models can be deduced. Here, we will use our existing ratatoskr open-source simulator on cycle-accurate abstraction level to model the interconnect on a transaction-level model (TLM) accouting for the network topology and the network congestion. Performance and power are to be estimated.

  • Development of novel wireless transmission technologies

    Supervisor: Dr. Haris Kremo via jobs-dsp@ice.rwth-aachen.de
    Description:: Here at the Chair of Distributed Signal Processing (DSP) we have several master thesis offers to develop novel wireless transmission technologies (in particular physical-layer design) for modulation/demodulation, optimization, signal design, etc.

  • Hardware-Security: Secure Processor Design

    Description: Here at the Chair for Software for Systems on Silicon (SSS), we are looking into novel ways of securing hardware designs (in particular processor cores) against hardware Trojans, taking the complexity of modern circuits into account.
    Supervisor: Dominik Šišejković

  • Machine Learning for Security

    Description: In the context of this work, we will address some selected challenges from the area of hardware security by applying modern machine learning techniques.
    Supervisor: Dominik Šišejković

  • Neuroflow: SW/HW-Interfaces for Neuromorphic Computing

    Supervisor: Felix Staudigl
    Description: In the context of this work, we will invent a novel way of computation in neuromorphic devices. These problems are closely related to existing soltions for Google's TPU-style way of data processing. Their approaches must be translated into the neuromorphic world.

  • Sensing Communications for 6G wireless systems

    Supervisor: Dr. Haris Kremo via jobs-dsp@ice.rwth-aachen.de
    Description:: At the Chair of Distributed Signal Processing (within the Institute for Communication Technologies and Embedded Systems) we have several offers for master thesis to develop novel technologies related to Sensing Communications in particular related to advancement of physical-layer signal processing and machine learning.

  • SIEM Sensor für virtuelle Kraftwerke

    Tutors: Guido Dartmann, Gerd Ascheid

  • Study on Reinforcement Learning for Next-generation (6G) wireless communications

    Description: Here at the Chair of Distributed Signal Processing (DSP) we have several master thesis offers to study reinforcement learning (RL) algorithms have shown to perform well under dynamic environments and perform efficiently. However, to cope with the low latency and high-reliability requirements of modern applications, these models must be optimized further. Our objective is to study RL techniques through which the training process can be optimized in order to make them applicable in a rate constrained communication system.
    Supervisor: Dr. H. Kremo

  • Tackling Avalanches in Spiking Neural Network Accelerators

    Description: In this master thesis, a standard spiking neural network is trained using Tensorflow. The avalanches are shown by means of software. Next, the amount and timing of avalanches are modeled mathematically. Furthermore, the software model is attached to a SystemC model of the on-chip network. The performance impact of avalanches is quantified. Finally, an architectural optimization is proposed to overcome performance limitations. 
    Supervisor: Dr.-Ing. Jan Moritz Joseph

More Topics on request

On the following pages some open offers are listed. In addition, there is the possibility for interested students to make an appointment by e-mail.

Tutors: Dominik Šišejković