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Laboratory Engineer (m/f/d)

Hamburg University of Technology

Hamburg, Germany · മുഴുവൻ സമയവും

അപേക്ഷിക്കുന്ന ആദ്യയാളാകൂ

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4 മണിക്കൂർ മുമ്പ്
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യോഗ്യത
Applicants with a bachelor’s degree or equivalent in Computer Science, Electrical Engineering, Communication Networks, or a related field, and with hands-on experience in networking, simulation, and modeling, are eligible to apply.
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Position overview

The Institute of Communication Networks at Hamburg University of Technology is hiring a Laboratory Engineer to join its research and teaching activities. The role is based in Hamburg and supports work within the United Nations University Hub networks. The institute works on next-generation communication systems, including sensor, mobile, vehicular, opportunistic, and Internet-based network architectures. Its strengths include network modeling, protocol development, performance improvement, simulation, and experimental testbeds.

The institute is part of the School of Electrical Engineering, Computer Science, and Mathematics. It offers a collaborative, international environment with opportunities for academic and professional growth, supported by the Graduate Academy. The position is remunerated under EG 11 TV-L. The reference ID is 15726TE4.

Employment details

Employment begins on 01.10.2026. The application deadline is 16.07.2026. The role is described as full time/part time and unlimited. The work location is Hamburg, Germany.

What you will do

  • Design and assess analytical and simulation-based models for communication networks, especially for IoT-focused extensions of future internet protocols.
  • Develop practical protocol implementations that can be used in agricultural research settings.
  • Prepare models and results in a reproducible way to support open research practices.
  • Contribute to teaching through practical laboratory sessions related to communication networks.
  • Assist with supervising bachelor’s and master’s students on network modeling and experimental work.

Profile and requirements

A bachelor’s degree, or an equivalent qualification, in Computer Science, Electrical Engineering, Communication Networks, or a closely related discipline is required. Strong hands-on experience in networking, simulation, and modeling is expected.

Useful background includes knowledge of future internet architectures applied to the Internet of Things, such as information-centric networking. Experience with open-source or reproducible simulation environments like OMNeT++ is desirable. You should also be able to create simulation models with tools such as OMNeT++ and translate research ideas into real implementations of future internet protocols for IoT use cases. Experience guiding students through project or thesis work is an advantage.

Working environment and benefits

The university offers an interesting, friendly, and appreciative workplace. Additional benefits include 30 days of vacation per year, convenient public transport access, a company pension scheme, and capital-forming benefits.

About the university

TU Hamburg emphasizes technology development for people, combining research, teaching, and technology transfer. It sees itself as a family-friendly and sustainable university with strong quality standards and a commitment to excellence across its research areas. Interdisciplinarity, innovation, regional connection, and international outlook are core principles. The university has around 8,000 students, 110 professors, and 1,650 employees, and is known for short decision-making paths and close collaboration across leadership, institutes, study administration, research units, and central administration. A modern leadership culture and respectful cooperation are part of its identity.

Equal opportunity and application notes

TU Hamburg promotes equal opportunities and values respectful, appreciative cooperation. Candidates with severe disabilities or equivalent status are explicitly considered under the relevant notice. Complete application documents must be submitted only through the university’s application system.

Contact

For further information, please contact Koojana Kuladinithi at +49 40 30601 3533 or via koojana.kuladinithi@tuhh.de.

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