KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.
The division of SCS invites applications for a postdoctoral position in the area of Decentralized Machine Learning & Information Network Analytics. The research project will be focused on decentralized, scalable and secure collective awareness platforms for real-time data analytics, machine learning and Natural Language Processing, which preserve end-user privacy and information ownership. The postdoc will work together with the fellows of our new Marie Curie Initial Training Network RAIS (http://rais-itn.eu/) to develop technologies for hybrid learning (Edge analytics/federated learning) and decentralized learning (Gossip learning) including decentralized network representation learning and will oversee the implementation of decentralized collaborative learning systems for the project.
Applicants must hold or be about to receive a doctoral degree in Computer Science (or equivalent). The doctoral degree must have been obtained within the last three years from the application deadline (some exceptions for special grounds, for instance sick leave and parental leave). The candidate must have a strong background in the areas of Information Network Analytics and Machine learning as well as have strong background in at least one of the following areas: Natural Language Processing or Blockchain technology. The successful applicant should have an outstanding research and publication record in the aforementioned research areas as well as experience in developing real-world systems and applications. Strong skills in modern Machine Learning and cluster computing frameworks (e.g., TensorFlow, Keras, Apache Spark) is a requirement. Track record in contributing to Open-Source is a plus. Well-developed analytical and problem solving skills are a requirement. The applicant should be able to work independently as well as in the international team. The applicant should have a well-established international research collaboration network as should be indicated by their visits, guest talks or internships outside their home institutions. The applicant should also have a track record in being a reviewer of reputed international conferences or journals. Excellent command of English orally and in writing is required to present and publish research results.
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