tl;dr: Postdoc position in Graph Analysis and Machine Learning - Aarhus University - 1+1 year contract - start Dec 1 latest One position in Graph Analysis and Machine Learning is available in the Data-Intensive Systems group, Department of Computer Science (https://cs.au.dk) at Aarhus University. The project is in collaboration with an industrial partner, which provides data and know-how. The positions is available immediately a should start as soon as possible. The Postdoc position is initially offered for 1 year, with possibility of extension up to 2 years after mutual consent. Topic: Graph analysis for video or data sequences Requirements: - PhD in Computer Science, Mathematics, Statistics, or related fields - Proved scientific background and publication record in at least one top-ranked journals or conferences in databases, data mining, machine learning, OR related areas (e.g., information retrieval, semantic web). - demonstrated ability to work as part of a team - excellent oral and writting communication skills in English - good programming skills Experience in one or more of the following areas: - Machine learning - Knowledge Graphs or semantic web - Graph data management - Graph mining - Recommender systems Note that the fulfillment of all the above requirements is not mandatory. Responsibilities: - conduct fundamental and experimental scientific research - publish in flaghsip international conferences and journals - participate in discussions, seminars, conferences - collaborate with our industrial partner Interest applicants should contact Assistant Professor Davide Mottin (email@example.com) and send: - a letter of interest - a CV including list of publications Place of work and area of employment: The place of work is Aabogade 34, 8200 Aarhus N, Denmark and the area of employment is Aarhus University with related departments. Formalities and salary range: The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here: https://nat.au.dk/en/about-the-faculty/vacant-positions-and-career/guidelines-and-rules/. Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities (https://ufm.dk/lovstof/gaeldende-love-og-regler/uddannelsesinstitutioner/filer/job-structure-for-academic-staff-at-universities-2013.pdf). Salary depends on seniority as agreed between the Danish Ministry of Finance and the Confederation of Professional Associations. All interested candidates are encouraged to apply, regardless of their personal background. Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity. About Aarhus University: Aarhus University is an academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 38,000 students (FTEs) and 8,000 employees. Learn more at http://www.international.au.dk/www.international.au.dk/.