[dbjapan] Call for Postdoctoral Researchers, Research Assistants and Research Interns

Call for Postdoctoral Researchers, Research Assistants and Research Interns We, at the ​Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST) - Tokyo, are looking for postdoctoral researchers, research assistants and research interns. The candidate is expected to work in one of the following directions: 1) Scalable and distributed graph processing / dynamic graphs / stream processing of graphs. The applicant is expected to work on the research and development related to distributed, scalable and real-time graph processing. A background in graph processing and big data processing platforms is desirable. 2) Robust AI by Integration of Knowledge Representation and Machine Learning. The applicant is expected to work on the development of innovative fundamental technologies that combine symbolic reasoning and statistical learning. A background in Artificial Intelligence is expected, in at least one of the two areas of Knowledge Representation and Reasoning, and/or Machine Learning. Themes of research may include but are not restricted to: robust / explainable AI, opinion diffusion, belief change, fact checking, logic programming. 3) Big spatial data / real-time data integration and processing. The applicant is expected to work on the research and development related to distributed and scalable spatial data processing using state of the art big data processing platforms. A background in big data processing platforms is desirable. 4) Graph analysis and graph learning, with emphasis on accelerating, scaling up these technologies and applying them to large-scale data. The topics include but not limited to: (a) Graph neural network (GNN); (b) Graph embedding; (c) Graph analysis community detection, graph/node classification, link prediction, node ranking, centrality); (d) Knowledge Graph (KG); (e) Temporal-spatial graphs; (f) Fairness, interpretability and explainability for graph learning; (g) Differentially private analysis of graphs; (h) Federated graph machine learning; (i) AutoML for graphs; (j) Various types of graphs (bipartite graph, multi-layer graphs, signed graphs, heterogeneous graphs); (k) large-scale graph visualization; (l) Applications of these technologies, such as recommender systems, point clouds, anomaly detection, text classification, image classification, sentiment analysis, question answering, emergency behaviors modeling and prediction, drug discovery, social influence prediction, traffic forecasting, neural machine translation, etc. Desired candidate attributes (satisfying a few of the attributes is enough): - Database concepts - Knowledge of distributed and parallel computing - Knowledge of machine learning / deep learning / graph learning / data mining - Good coding skills in java and/or python - Experience of version control system - Strong analytical and problem-solving skills Interested candidates may send their resume to the following email address: shaikh.salman(a)aist.go.jp AIRC homepage: https://www.airc.aist.go.jp/en/teams/ Thank you very much. Best Regards, --- Salman Ahmed Shaikh (Ph.D.) Senior Researcher Artificial Intelligence Research Center (AIRC) National Institute of Advanced Industrial Science and Technology (AIST) Tokyo Waterfront 2-4-7 Aomi, Koto-ku, Tokyo 135-0064 JAPAN Email: shaikh.salman(a)aist.go.jp