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Position: 2 Research Assistants/PhD positions (f/m/d)
Institution: Georg-August-Universität Göttingen
Department: Institut for Computer Science
Location: Göttingen, Niedersachsen, Germany
Duties: working on the area of smart cities, edge computing and/or big data analytics; collaborate with other colleagues and project partners; performing and publishing high quality research on international conferences and journals; assistance on courses corresponding § 31 NHG and performance tests
Requirements: excellent or very good master degree or equivalent in Computer Science or related disciplines; good programming knowledge (e.g. JAVA, Python, R, …); good knowledge and working experience on network/distributed systems and/or machine learning/data analytics techniques; proficiency in English and German (spoken and written) is essential; excellent analytical and problem solving skills
   
Text: 2 Research Assistants / PhD positions (f/m/d) Einrichtung: Institut for Computer Science (Computer Networks Group) (ID 100896) Ansprechpartner: Prof. Dr. Xiaoming Fu Besetzungsdatum: ab sofort Veröffentlichungsdatum: 19.07.2021 The Institut for Computer Science (Computer Networks Group ) at the Georg-August-Universität Göttingen is looking to fill the positions of 2 Research Assistants / PhD positions (f/m/d) with 75 % of the regular working time (corresponding to 29,85 hours per week) with a limited contract of three years as soon as possible. The salary is in accordance with the German state regulated public service salary scale (TV-L E 13) . The Computer Networks Group is working on the design, modeling, implementation and evaluation of networked systems, and has been funded by several EU, state and industry-sponsored projects. Your duties: • working on the area of smart cities, edge computing and/or big data analytics • collaborate with other colleagues and project partners • performing and publishing high quality research on international conferences and journals • assistance on courses corresponding § 31 NHG and performance tests Your profile: • excellent or very good master degree or equivalent in Computer Science or related disciplines • good programming knowledge (e.g. JAVA, Python, R, …) • good knowledge and working experience on network/distributed systems and/or machine learning/data analytics techniques • proficiency in English and German (spoken and written) is essential • excellent analytical and problem solving skills The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. How to apply: Your application including also : • a motivation letter that states your interest in research and that specifies 1-3 of the projects you are interested in, • your curriculum vitae, • your degree certificates should be submitted to the online application platform https://lotus2.gwdg.de/uni/uzdv/perso/knr_100896.nsf by 27.08.2021 . If you have any questions, please contact Herr Prof. Dr. Xiaoming Fu, Phone: 0551-39172023, E-Mail: fu@cs.uni-goettingen.de Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR) Stellensuche Suchen Alle anzeigen Wir weisen darauf hin, dass die Einreichung der Bewerbung eine datenschutzrechtliche Einwilligung in die Verarbeitung Ihrer Bewerberdaten durch uns darstellt. Näheres zur Rechtsgrundlage und Datenverwendung finden Sie im Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) . Kontakt für Anzeigenschaltung Vera Müffeler Postfach 3744 (Gosslerstr. 5 - 7) 37027 Göttingen (37073 Göttingen) Tel. 49 551 39-24213 Fax 49 551 39-1824213 anzeigen@zvw.uni-goettingen.de
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