德国德累斯顿工业大学（Technische Universität Dresden）计算机科学系Jens Lehmann教授课题组招收人工智能方向博士和研究助理，支持CSC和DAAD奖学金。
About the project
Special Call for Position for Students Applying for Scholarship (CSC&DAAD)
Research associate / PhD positions in Computer Science and Artificial Intelligence
We are looking for top motivated chinese research associates or phd students with (potential) scholarships to do high quality research in our research group.
Successfully selected candidates will be given a conditional acceptance letter to apply for a scholarship at the chinese scholarship council (http://www.csc.edu.cn/) or the german academic exchange service (daad) (https://www.daad.de/en/) upon request.
Who we are
Prof. Lehmann is a full time principal scientist in Amazon Alexa and at the same time a honorary professor at the Technical University of Dresden. He is also a member of Institute for Applied Informatics (InfAI) and supervising researchers in the Nature-Inspired Machine Intelligence (NIMI) Group which is led by Dr. Vahdati (https://infai.org/nature-inspired-machine-intelligence/). Previously, Prof. Lehmann was leading a research group of smart data analytics (SDA) (http://sda.cs.uni-bonn.de/) which is one of the top leading groups in machine learning, semantic web, data analytics and related domains and technologies. He is a top expert in machine learning, and has an outstanding academic influence in related areas of knowledge graph, question answering system, linked data, semantic web. Dr. Vahdati is a fellow of Oxford University and since two years is leading the NIMI research group with a focus on Representation Learning. SDA and NIMI members have been involved in many reputable national, European and international research activities and projects.
Open Position and Research Topics:
Machine Learning Techniques for/using Knowledge Graphs
Representation Learning and Reasoning
Natural Language Processing for/using Knowledge Graphs
Mathematical Foundation of Knowledge-aware AI
Multimodal / Temporal Knowledge Graphs and Embedding Models
Conversational AI and Dialogue Systems
Requirements
We are welcoming students holding master degrees in a relevant field (computer science, statistics, mathematics, physics). We expect you to have outstanding analytical and abstraction skills as well as very good abilities in programming (PyThon, PyTorch, HuggingFace). You should have good communication and academic writing skill in English language.
Supervision and facilities
Through the research process and your doctoral studies, you will receive continued supervision and will also be provided with all required means for your research at the NIMI/InfAI-Dresden and will benefit from facilities at Technical University of Dresden.
How to apply
More details can be found here:
https://infai.org/nature-inspired-machine-intelligence/#vacancies
Please send an email to Dr. Sahar Vahdati: vahdati@infai.org
Documents:
CV in English (previous academic and working experience and list of previous publications)
Transcripts and copy of master certificate (with english translation)
1 page motivation letter
1 page description on the topic of interest
English Language Certificate
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