STUDENT ASSISTANT – NAMED-DATA NETWORKING FOR IIOT (M/F/D)
- fortiss GmbH Jobportal
- München, fortiss GmbH
- Werkstudent
- IT
- Teilzeit
Who are we?
fortiss is the research institute of the Free State of Bavaria for the development of software-intensive systems with headquarters in Munich. The scientists at the institute cooperate in research, development and transfer projects with universities and technology companies in Bavaria, Germany and Europe. The focus is on research into state-of-the-art methods, techniques and tools for the development of software- and AI-based technologies for dependable, secure cyber-physical systems such as the Internet of Things (IoT). fortiss is organized in the legal form of a non-profit limited liability company. Shareholders are the Free State of Bavaria (majority shareholder) and the Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. www.fortiss.org
Student Assistant – Named-Data Networking for IIoT (m/f/d)
The IIoT competence center of fortiss focuses on the development of computational and networking architectures for advanced IoT applications and use-cases in sectors such as Mobility, Smart Cities, Manufacturing, etc. Areas of interest include, but are not limited to: Edge computing, in particular decentralised edge architectures; wireless IoT; deterministic wireless networking; dynamic container orchestration; information-centric networking; Edge AI.
We are looking for 1 motivated student to support the work under development in our fortiss IioT Lab, focusing on the implementation and validation of a demonstrator based on data-driven communications for a scenario with mobile robots, such as Automated Guided Vehicles.
The overall goal of the student assistantship relates with the application of Named-Data Networking (NDN) in Industrial IoT environments, against IP-messaging broker-based approaches such as MQTT Sparkplug. The work will be developed in the fortiss IIoT Lab.
Student Assistant – Named-Data Networking for IIoT (m/f/d)
The IIoT competence center of fortiss focuses on the development of computational and networking architectures for advanced IoT applications and use-cases in sectors such as Mobility, Smart Cities, Manufacturing, etc. Areas of interest include, but are not limited to: Edge computing, in particular decentralised edge architectures; wireless IoT; deterministic wireless networking; dynamic container orchestration; information-centric networking; Edge AI.
We are looking for 1 motivated student to support the work under development in our fortiss IioT Lab, focusing on the implementation and validation of a demonstrator based on data-driven communications for a scenario with mobile robots, such as Automated Guided Vehicles.
The overall goal of the student assistantship relates with the application of Named-Data Networking (NDN) in Industrial IoT environments, against IP-messaging broker-based approaches such as MQTT Sparkplug. The work will be developed in the fortiss IIoT Lab.
Your tasks:
- Support the further development of the existing fortiss IioT NDN-IIoT demonstrator, involving static and mobile devices, getting acquainted with NDN, MQTT, etc.
- Assist in the interconnection to the worldwide experimental testbed NDN.
- Implement, if required, additional changes to the proposed NDN framework.
- Develop the proposed performance evaluation on the local testbed and eventually, across the worldwide NDN testbed.
Your profile:
- Completed Bachelor's degree and currently enrolled in a Master’s degree or in a PhD degree in computer science, information systems or similar.
- Practical experience in programming languages such as Java, C, C++.
- Good understanding on networking, TCP/IP and OSI stack.
- Knowledge and practical experience with MQTT is preferential.
- Acquainted and used to Linux.
- communication skills in English.
Our offer:
- An exciting and inspiring open research environment.
- An international and dynamic work environment involving highly motivated students, researchers.
- Close collaborations with industrial leaders.
Did we catch your interest?
Please submit your application with a motivational statement, a detailed CV, a current transcript of records. Provide 1 or 2 references that we can contact. Recommendations letters are also welcome!
Job-ID: IIoT-SA-05-2022
Contact: Dr. Rute C. Sofia
Job-ID: IIoT-SA-05-2022
Contact: Dr. Rute C. Sofia
- Ralf Kohlenhuber
- Human Resources Administrator