Postdoc in Decentralized Machine Learning & Information Network Analytics - Hiring in process/Finished, not possible to apply

Job description

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.

Qualifications

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.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

Application

The application should contain the following:

1. CV including relevant professional experience and knowledge.
2. Copies of diplomas and grades from your previous university studies. Translations to English or Swedish if the original documents are not issued in one of these languages.
3. A research statement on why you want to conduct research in the areas of Decentralized Machine Learning & Information Network Analytics, about your current academic interests and how they relate to your previous studies and future goals; max 2 pages long.
4. Representative publications or technical reports: Document no more than 10 pages each. For longer documents (eg dissertations), attach a summary (abstract) and a web link to the full text.
5. Two recommendation letters
6. Contact information for two reference persons. We reserve the right to contact references only for selected candidates.

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

Others

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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.