20 beste Stellen als performance computing in münchen, by – aktuell auf Personalsuche

MASTERARBEIT – SPIKING NEURAL NETWORKS IN THE PHYSICAL LAYER OF WIRELESS COMMUNICATION SYSTEMS (M/F/D)
fortiss GmbH —München
- Doktorat
- Master
- Machine Learning
Machine Learning Engineer (m/f/x) - Geospatial AI
osapiens —München
- Hybrides Arbeiten
- AWS
- Machine Learning
- Künstliche Intelligenz
Direkt bewerben
Software Engineer III, AI/ML, Gemini Integration/Customisation
Google —München
- Vollzeit
- Doktorat
- Informatik
- Forschungserfahrung
2 Tage
Machine Learning Engineer (all genders)
Avelios Medical —München
- Vollzeit
- Informatik
- Master
- Machine Learning
- Flexible Arbeitszeiten
Team Leader - Software Development
IQM Finland Oy —München
- Softwareentwicklung
- Führungserfahrung
- Flexible Arbeitszeiten
Masterarbeit: Entwicklung eines Remote-Schlüssel-Revocation-Systems für Embedded Linux
Ingenics Digital GmbH —Gräfelfing
- Homeoffice
- Informatik
- Linux
- Elektrotechnik
- Gleitzeit
- Flexible Arbeitszeiten
Quantum Software Intern
planqc —Garching bei München
- Vollzeit
- C++
- Softwareentwicklung
- APIs
Direkt bewerben
Working Student Machine Learning (all genders)
Avelios Medical GmbH —München
- Teilzeit
- Informatik
- Machine Learning
- Python
- Flexible Arbeitszeiten
Internship _ September 2026 Intake
Terra Quantum —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Forschungserfahrung
- Master
Intern Machine Learning (all genders)
Avelios Medical —München
- Vollzeit
- Informatik
- Machine Learning
- Python
- Flexible Arbeitszeiten
HPC Systems Administrator
Helsing —München
- Python
- Mitgliedschaft im Fitnessstudio
Direkt bewerben
6 Tage
Software Engineer III, AI Powered Rust
Google —München
- Vollzeit
- Doktorat
- Informatik
- Master
12 Tage
Fachinformatiker für Anwendungsentwicklung (w/d/m)
HOLOGATE GmbH —München
- Vollzeit
- Englisch
- Scripting
- Kommunikationsfähigkeit
- Flexible Arbeitszeiten
Senior Solution Architect - Physical AI, Medical and Surgical Robotics
NVIDIA —München
- Vollzeit
- Doktorat
- Informatik
- Master
12 Tage
Solutions Architect - NVIDIA Cloud Partners and Datacentre Infrastructure
NVIDIA —München
- Vollzeit
- Doktorat
- Vertrieb
- Master
Principal Kernel / Linux Virtualization Engineer
Advanced Micro Devices, Inc —München
- Master
- Bachelor
- Linux
(Senior) Robotics Software Engineer (m/f/d)
Omegga —München
- Vollzeit
- Software-Fehlerbehebung
- AWS
- Elektrotechnik
Direkt bewerben
Software-Systemarchitekt | Steuerungssysteme Defence & Industry (all genders)
Expleo —München
- Englisch
- Java
- C++
- Gleitzeit
- Homeoffice-Möglichkeit
EMEA Channel GTM Manager (M/W/D) - Qualcomm - Remote, Germany
Qualcomm —München
- Homeoffice
- Master
- Projektmanagement
- Wirtschaft
HPC Applications & Simulation Engineer
Helsing —München
- Java
- Python
- Mitgliedschaft im Fitnessstudio
Direkt bewerben
6 Tage

Ich möchte aktuelle Job-E-Mails für Stellen als performance computing in münchen, by erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

performance computing jobs near münchen, by

Jobs als Senior Software Engineer in München

Jobs als Machine Learning Engineer in München

Jobs als Virtualization Engineer in München

Jobs als Software Development Specialist in München

Jobs als Channel Manager in München

Jobs als Senior Solution Architect in München

Jobs als Solution Architect in Dubai

Jobs als Developer in München

Jobs als Systems Administrator in München

Jobs als Senior Software Engineer in Düsseldorf

Jobs als Senior Software Engineer in Stuttgart

Jobs als Senior Software Engineer in Berlin

Jobs als Senior Software Engineer in Frankfurt Am Main

Jobs als Software Developer in Hamburg

Jobs als Qa Engineer in Berlin

Jobs als Machine Learning Engineer in Hamburg

Jobs als Embedded Software Engineer in Berlin

Jobs als Machine Learning Engineer in Düsseldorf

Jobs als Machine Learning Engineer in Gilching

Jobs als Junior Ai Engineer in Berlin

MASTERARBEIT – SPIKING NEURAL NETWORKS IN THE PHYSICAL LAYER OF WIRELESS COMMUNICATION SYSTEMS (M/F/D)

fortiss GmbH -
München

Jetzt bewerben

Details zur Stelle

Qualifikationen

MATLAB
Doktorat
Master
Machine Learning
Python

Vollständige Stellenbeschreibung

fortiss GmbH Jobportal
Collage Thesis

Who are we?

fortiss is the research institute of the Free State of Bavaria for software-intensive systems and services with headquarters in Munich. The institute currently employs around 150 employees, who collaborate on research, development and transfer projects with universities and technology companies in Bavaria, Germany and Europe. Research is focused on state of the art methods, techniques and tools of software development, systems & service engineering and their application to reliable, secure cyber-physical systems, such as the Internet of Things (IoT). fortiss has the legal structure of a non-profit limited liability company (GmbH). Its shareholders are the Free State of Bavaria (as majority shareholder) and the Fraunhofer Society for the Promotion of Applied Research.

This master’s thesis will be jointly supervised by the Neuromorphic Computing team at fortiss and the ACES Lab at the Chair of Theoretical Information Technology.

In the design of wireless communication systems, models, such as channel models, have traditionally played a crucial role. However, these models always represent an idealized simplification and cannot fully capture all practical complexities. In contrast, data-driven approaches based on deep neural networks eliminate the need for explicit modeling and therefore have the potential to outperform classical designs. Current research explores deep learning techniques for tasks such as channel estimation, signal detection and modulation / demodulation, channel encoding and decoding, and physical-layer authentication.

Spiking neural networks (SNNs) are a novel type of neural network and differ fundamentally from conventional deep learning models by incorporating temporal dynamics and event-driven computation. SNNs operate using discrete spikes, similar to biological neurons, offering advantages in energy efficiency and temporal processing. Due to their event-driven, energy-efficient nature, SNNs are gaining attention in communications research.

This thesis focuses on designing and implementing SNNs to address selected physical-layer tasks, such as channel estimation. Initially, the performance of the implemented SNN will be evaluated through simulations of the SNN on GPUs. Subsequently, the network will be deployed on the best suitable specialized hardware platform (such as SpiNNaker2, Pulsar, Loihi 2, Akida 2) to assess real-time performance under practical constraints, including latency and energy consumption. Furthermore, data from USRP X410 software-defined radios (SDRs) will be utilized to study the performance on real-world data.

Your tasks:

Literature review and collegial choice of the most appropriate task (channel estimation, signal detection, channel encoding, interference management) for an SNN implementation. Considered will be the maturity of the state-of-the-art, hardware constraints, hardware capabilities, and implementation complexity
Design and implementation of an SNN (selecting a suitable neuron model, encoding scheme, and learning algorithm) for the selected task in software (CPU/GPU)
Port and deployment of the SNN on neuromorphic hardware
Performance evaluation (with synthetic and real-world data) and comparison to traditional approaches

Your profile:

Knowledge of wireless communication systems
Knowledge of neural networks and classical AI frameworks
Programming experience in MATLAB and Python
Experience with spiking neural networks (SNNs) and spiking frameworks is a plus

Did we catch your interest?

Please submit your application via this fortiss application form AND email it to Ullrich Mönich ([email protected]) with the subject line “Master’s thesis: Neuromorphic Comm”, including your CV and academic transcript.

Job-ID: NC-MA-01-2026
Contact: Dr. Axel von Arnim

Jetzt bewerben

Erweiterte Suche

performance computing Jobs in münchen, by

MASTERARBEIT – SPIKING NEURAL NETWORKS IN THE PHYSICAL LAYER OF WIRELESS COMMUNICATION SYSTEMS (M/F/D)

Machine Learning Engineer (m/f/x) - Geospatial AI

Software Engineer III, AI/ML, Gemini Integration/Customisation

Machine Learning Engineer (all genders)

Team Leader - Software Development

Masterarbeit: Entwicklung eines Remote-Schlüssel-Revocation-Systems für Embedded Linux

Quantum Software Intern

Working Student Machine Learning (all genders)

Internship _ September 2026 Intake

Intern Machine Learning (all genders)

HPC Systems Administrator

Software Engineer III, AI Powered Rust

Fachinformatiker für Anwendungsentwicklung (w/d/m)

Senior Solution Architect - Physical AI, Medical and Surgical Robotics

Solutions Architect - NVIDIA Cloud Partners and Datacentre Infrastructure

Principal Kernel / Linux Virtualization Engineer

(Senior) Robotics Software Engineer (m/f/d)

Software-Systemarchitekt | Steuerungssysteme Defence & Industry (all genders)

EMEA Channel GTM Manager (M/W/D) - Qualcomm - Remote, Germany

HPC Applications & Simulation Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als performance computing in münchen, by erhalten

Related Searches

Weitere Job-Standorte erkunden

Who are we?

Your tasks:

Your profile:

Did we catch your interest?

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt