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Assistant Professor (Lecturer) in Computer Science, Data Science Lancaster University Leipzig Salary: €60,722 to €68,051 Closing Date: Monday 31 July 2023 Interview Date: Wednesday 16 August 2023 Reference: 0721-23 Lancaster University Leipzig, Germany Lancaster University invites applications for one post of Assistant Professor (Lecturer) in Computer Science to join at its exciting new campus in Leipzig, Germany. Located in one of Germany’s most vibrant, livable, and attractive cities, the Leipzig campus offers the same high academic quality and fully rounded student experience as in the UK, with a strong strategic vision of excellence in teaching, research, and engagement. The position is to support the upcoming MSc programme in Data Science, and to complement the department’s current research strengths on Intelligent Systems and Artificial Intelligence. The candidate is expected to have solid research foundations and a strong commitment in teaching Data Science topics such as Data Science Fundamentals, Data Mining, and Intelligent Data Analysis and Visualisation. The ideal candidate should have a completed PhD degree and demonstrated capabilities in teaching, research, and engagement in the areas of Data Science. Candidates should be able to deliver excellent teaching at graduate and undergraduate level, pursue their own independent research, and develop publications in high quality academic journals or conferences. Candidates are expected to have a suitable research track record of targeting high quality journals or a record of equivalent high-quality research outputs. Colleagues joining LU Leipzig’s computer science department will benefit from a very active research team in Leipzig with a focus on Intelligent Systems and Artificial Intelligence in the wider sense, but will also have access to the research environment at the School of Computing and Communications in the UK. We offer a collegial and multidisciplinary environment with enormous potential for collaboration and work on challenging real-world problems especially. German language skills are not a prerequisite for the role, though we are seeking applicants with an interest in making a long-term commitment to Lancaster University in Leipzig. Please note this role is a full time, indefinite-duration appointment based in Leipzig, Germany. The contract is with Lancaster University Leipzig under German law. Ideally we would like the appointed candidate to start at latest on 1st January 2024. The opportunity is unique as the role is permanent after a 6-months probationary period, and offers the opportunity of being promoted to associate professor and professor in line with performance. We also support administrative procedures related to settlement in Germany and assistance in finding accommodation, family integration (school registration for children), German training (for you and your partner), and relocation expenses.
We have two fully funded PhD scholarships in data science, with an emphasis on neural network applications/research, available at our Institute for Analytics and Data Science.
Call for 5 open-rank positions at IT:U — a new public university just founded in Austria. One of the focuses is Theoretical Foundations of Data Science — engaging with areas such as mathematics of data science, statistical learning, or specific topics like topological data analysis and causality. The concept of “Data Science” here is very broadly defined. The positions are attractive, and include permanent (i.e. recurring) funding for a number of PhD students and post-docs, depending on rank.
The School of Applied Mathematics at Fundação Getulio Vargas (FGV EMAp) in Rio de Janeiro, Brazil, invites applications for one open-rank faculty position in Data Science to strengthen and complement our existing research activity in this area. We are looking for established researchers (associate/full professor) or outstanding young researchers (assistant professor) who have demonstrated research and teaching expertise in Data Science. We will prioritize applicants whose research focuses on natural language processing, computer vision, reinforcement learning, network science and data mining, but we also welcome applications from other fields in Data Science. The successful candidate is expected to develop an externally funded research programme, publish in high-impact venues, supervise research (postgraduate) students, teach at both undergraduate and graduate levels, and provide service to the department and institution. In general, teaching duties consist of two courses per year, one at Undergraduate and one at Graduate level. Peer-reviewed external funding is expected to be obtained and sustained. Industrial partnerships are also strongly encouraged.