Stellenticket Leibniz Universität Hannover

The main scope of this position is to develop distributed data processing engines for dynamic graph data to represent data fusion tasks from computer vision and semantic stream reasoning algorithms. The position will be funded by AIoTwin, an EU project in that TU Berlin is collaboratively building AI solutions for the Internet of Things together with three other universities in Europe. An opportunity for pursuing a Ph.D. in TU Berlin is given.
For more details on the position or AIoTwin, you can contact the project’s Principle Investigator, Dr. Danh Le Phuoc, danh.lephuoc@tu-berlin.de.

We are looking for candidates who are highly motivated in pursuing challenging scientific ideas and solving difficult engineering problems. The successful candidate needs to satisfy the following requirements:

• Successfully completed university degree (Master, Diplom or equivalent) in Computer Science, Applied Mathematics, Statistics, or similar subjects
• Very good programming skills in Java or C++
• Very good language and writing skills in English; Knowledge of German is an advantage, but not a requirement
• Publications or demonstrable programming skills/knowledge in one or some of the following areas:
• RDF/Graph Database
• (RDF/Semantic) Data Stream Processing
• (Dynamic) Data structures/ Indexing techniques
• Query Planning, Compiling, and Optimizing
• Federated Data Processing Systems

Knowledge/experience in the following topics are advantages but not required:

• Computer Vision
• Robotics
• Internet of Things
• Semantic Web
• Machine Learning

What we offer:

• Starting on 01.01.2023, the position is initially offered for 3 years with the possibility of an extension
• Access to powerful computing infrastructure, e.g dedicated GPU servers, a high computing cluster with a hundred servers, an interesting robotic testbed with hundred embedded computing nodes (Nvidia Jetson Xavier, TX2, Nano, and other ARM boards), drones, car models, 3D printers, etc.
• Connection to an excellent research network including Berlin Big Data Center, Berlin Institute for the Foundations of Learning and Data, Fraunhofer FOKUS, etc.
• Faculty IV offers top research expertise and a stimulating and supportive environment.
• TU Berlin is a great place for professional growth (e.g. internal and national funding for young researchers)

Please send your complete job application mentioning the reference number and the usual documents with a motivation letter, CV, references, and certificates by email as one single pdf file, max. 5 MB, to sekretariat@ods.tu-berlin.de.

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/ or quick access 214041.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.

Technische Universität Berlin - Die Präsidentin - Fakultät IV, Institut für Telekommunikationssysteme, Open Distributed Systems (ODS), Prof. Dr. Hauswirth, Sekr. HFT 3, Einsteinufer 25, 10587 Berlin