Job Offers

Research Associate (m/f/d) in the area of Communications Engineering and Resilient Networks

The Institute for Communications Technology is looking for a Scientific Assistant (m/f/d) in the Information Theory and Communication Systems Group (Prof. Jorswieck). The employment is initially limited to two years, but a prolongation is intended.

The Technical University of Braunschweig with nearly 17,800 students and 3,800 employees* offers a teaching and research spectrum with excellent facilities and at the same time a personal atmosphere.

The prerequisite for employment is a completed scientific university degree (Master or equivalent) in Electrical Engineering, Information Systems Engineering, Computer Science or Mathematics - if possible with a specialization in Communications Engineering - with an overall grade of at least good.

The scope of duties includes research work in the area of optimization and design of resilient communication systems in the context of a subproject in the DFG priority program Resilient Worlds.

Previous knowledge in the field of Communications Technology, especially in the area of Information Theory, for example through successful participation in the corresponding lectures or through completion of a master's thesis in this area, is very helpful. Fluent written and spoken English is advantageous. In addition to the research tasks and to a smaller extent, the position will also include tasks in teaching such as supervising Bachelor’s and Master’s theses and supervising lectures at the institute.

The position is intended to serve the qualification of young scientists and offers the possibility of doctoral studies.

The salary depends on the assigned tasks and fulfilment of personal requirements and ranges up to salary group E 13 TV-L. The position is generally suitable for part-time employment but should be staffed 100 percent.

For more information, please call +49(0)531 391-2480.

Candidates with disabilities will be preferred if equally qualified (in that case, please attach proof of disability).

Applications from international candidates are welcome. TU Braunschweig seeks to reduce underrepresentation in the sense of the NGG in all areas and positions. Therefore, applications from women are highly welcome.

Please note that personal data will be stored for the purpose of the application process. Please note that application costs cannot be refunded.

Please send your application to:

TU Braunschweig
Institut für Nachrichtentechnik
Prof. Dr.-Ing. Eduard Jorswieck
Schleinitzstrasse 22
38106 Braunschweig
Germany

or to: jorswieck(at)ifn.ing.tu-bs.de 

Scientific Assistant Mobile Radio and Terahertz Communication Systems

The Institute for Communications Technology is looking for a Scientific Assistant (m/f/d) in the Department of Mobile Radio Systems (Prof. Kürner). The employment is initially limited to two years, but a prolongation is intended.
The Technical University of Braunschweig with nearly 17,800 students and 3,800 employees offers a teaching and research spectrum with excellent facilities and at the same time a personal atmosphere.

The prerequisite for employment is a completed scientific university degree (Master or equivalent) in Electrical Engineering or Information Systems Engineering - if possible with a specialization in Communications Engineering or High-Frequency Engineering with an overall grade of at least good.

The scope of duties includes research work in the field of terahertz communication systems in the frame of a publicly funded project.

Previous experience in the field of Mobile Communications, especially in the area of radio measurement technology preferably in the sub-mmW range, for example through successful participation in the relevant lectures or completion of a Master's Thesis in this area is very helpful. Fluent written and spoken English is advantageous. In addition to the research tasks and to a smaller extent, the position will also include tasks in teaching such as supervising Bachelor’s and Master’s theses and supervising lectures at the institute.

The position is intended to serve the qualification of young scientists and offers the possibility of doctoral studies.

The salary depends on the assigned tasks and fulfilment of personal requirements and ranges up to salary group E 13 TV-L. The position is generally suitable for part-time employment but should be staffed 100 percent.

For more information, please call +49(0)531 391-2416.

Candidates with disabilities will be preferred if equally qualified (in that case, please attach proof of disability).

Applications from international candidates are welcome. TU Braunschweig seeks to reduce underrepresentation in the sense of the NGG in all areas and positions. Therefore, applications from women are highly welcome.

Please note that personal data and will be stored for the purpose of the application process. Please note that application costs cannot be refunded.

Please send your application to:

Technische Universität Braunschweig
Institut für Nachrichtentechnik
Prof. Dr.-Ing. Thomas Kürner
Schleinitzstraße 22
38106 Braunschweig
Germany

Or to:

kuerner(at)ifn.ing.tu-bs.de

The department 'Signal Processing and Machine Learning' at the Institute of Communications Technology has an immediate vacancy in the area of Computer Vision.

The tasks of a jobholder consist in performing scientific work in the area of computer vision, in particular:
- Development of systems for autonomous driving using end-to-end deep neural network approaches.
- Development of systems for vehicle environment perception, in particular: semantic segmentation and depth estimation on monocamera images
- Development of human interpretable systems for environment perception including information fusion
- Development of attacks and defense strategies on deep neural networks for environment perception

Your profile:

- Completed scientific university studies, especially in the field(s) of computer science, information technology, electrical engineering, applied mathematics.
- Very good English and German language skills, both written and spoken
- Very good knowledge in machine learning, experience with training frameworks (e.g. Tensorflow, PyTorch).
- Knowledge in digital image processing would be advantageous
- Fascination and engagement in machine learning!

What we offer:

- We offer you the opportunity for scientific qualification with the goal of a PhD
- Depending on the topic and time, you will be hired with a scholarship or with remuneration according to EG 13 TV-L.
- Limited contract for 2 years with a possible prolongation up to 6 years

TU Braunschweig seeks to reduce underrepresentation in the sense of the NGG in all areas and positions. Therefore, applications from women are highly welcome. Candidates with disabilities will be preferred if equally qualified (in that case, please attach proof of disability). The application of people from all nations are welcome.

Please note that application costs cannot be refunded. Please note that personal data will be stored for the purpose of the application process.

Please send your application by email to Prof. Fingscheidt (t.fingscheidt(at)tu-bs.de), keyword 'VISION'.
Please summarize the usual documents (cover letter, certificates, curriculum vitae, etc.) in a pdf-file and state your interest in and suitability for at least one of the four topics mentioned above.

Technical University of Braunschweig
Institute for Communications Technology
Prof. Tim Fingscheidt
Schleinitzstrasse 22
38106 Braunschweig

The 'Signal Processing and Machine Learning' Group at the Institute of Communications Technology has an immediate vacancy in the area of speech and audio processing.

The tasks of a jobholder consist in performing scientific work in the area of speech and audio processing, in particular:
- Development of systems for noise reduction and acoustic echo cancellation using deep neural networks.
- Development of systems for automatic speech recognition using end-to-end deep neural network approaches
- Development of systems for reading-learning support using deep neural networks
- Development of systems for acoustic event classification using anomaly detection or few-shot learning methods

Your profile:
- Completed scientific university studies, especially in the field(s) of computer science, information technology, electrical engineering, applied mathematics.
- Very good English and German language skills, both written and spoken
- Very good knowledge in machine learning, experience with training frameworks (e.g. Tensorflow, PyTorch)
- Knowledge in speech signal processing is advantageous
- Fascination and engagement in machine learning!

What we offer:
- We offer you the opportunity for scientific qualification with the goal of a PhD.
- Depending on the topic and time, you will be hired as a scholarship holder or with remuneration according to EG 13 TV-L.
- Limited contract for 2 years with a possible prolongation up to 6 years

TU Braunschweig seeks to reduce underrepresentation in the sense of the NGG in all areas and positions. Therefore, applications from women are highly welcome. Candidates with disabilities will be preferred if equally qualified (in that case, please attach proof of disability). The application of people from all nations are welcome.

Please note that application costs cannot be refunded. Please note that personal data will be stored for the purpose of the application process.

Please send your application by email to Prof. Fingscheidt (t.fingscheidt(at)tu-bs.de), keyword 'SPEECH'.

Please summarize the usual documents (cover letter, certificates, curriculum vitae, etc.) in a pdf-file and state your interest in and suitability for at least one of the four topics mentioned above.

Technical University of Braunschweig
Institute for Communications Technology
Prof. Tim Fingscheidt
Schleinitzstrasse 22
38106 Braunschweig