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Position: Associate/Assistant Professors in Machine Learning and Signal Processing
Institution: Technical University of Denmark
Department: DTU Compute
Location: Kongens Lyngby, Lyngby‐Taarbæk Municipality, Denmark
Duties: In order to be successful you are expected to participate in departmental teaching at all levels. The teaching will cover Bachelor-, Master- and PhD-level courses. Bachelor courses are taught in Danish and English, other courses in English. For international candidates, DTU offers Danish language courses for the purpose of being able to teach in Danish within the first 2-3 years. The duties of an assistant and associate professor include research, research-based teaching and innovation. The Section is keen to ensure that assistant professors are given supervision and guidance, including education in university teaching
Requirements: Candidates for an: assistant professorship must hold a PhD degree (or equivalent); associate professorship must hold a PhD degree (or equivalent), as well as academic qualifications equivalent to those obtained by holding an assistant professorship and documented didactic/pedagogic training. Your research background should be within intelligent systems, statistical modeling and machine learning as documented by publications in top AI conferences (NIPS, ICML, ICLR, AISTATS, AAAI, CVPR etc)
   
Text: Associate/Assistant Professors in Machine Learning and Signal Processing DTU Compute Del til Facebook Del til Twitter Del til LinkedIn Tuesday 09 Oct 18 Apply for this job Apply no later than 31 October 2018 Apply for the job at DTU Compute by completing the following form. Apply online DTU Compute’s Section for Cognitive Systems, invites applications for appointments as Assistant or Associate Professor in machine learning and signal processing. The positions are available from February 1, 2019 or according to mutual agreement. The Section for Cognitive Systems is a lively and research oriented group of scientists and support staff with a shared interest in information processing in man and computer, and a particular focus on the signals they exchange - audio, imagery, behavior - and the opportunities these signals offer for modeling and engineering of cognitive systems. September 2018 we welcomed the first class of students in DTU’s new “AI and Data” bachelor education. The Section is working actively to keep a healthy work-life balance and we are aware of the challenges facing young families in academia. Working at DTU provides much flexibility and families in Denmark enjoy a highly developed and affordable child care system. Our department DTU Compute is an internationally unique academic environment spanning the disciplines mathematics, statistics and computer science. At the same time we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavor. DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions, nationally and internationally, and, equally important, with industry and organizations. We communicate and collaborate with leading centers and strategic partners in order to increase participation in major consortia. DTU Compute plays a central role in education at all levels of the engineering programs at DTU - both in terms of our scientific disciplines and our didactic innovation. The aim of the new position is to consolidate and expand the Departments research and teaching in machine learning and signal processing. Responsibilities and tasks In order to be successful you are expected to participate in departmental teaching at all levels. The teaching will cover Bachelor-, Master- and PhD-level courses. Bachelor courses are taught in Danish and English, other courses in English. For international candidates, DTU offers Danish language courses for the purpose of being able to teach in Danish within the first 2-3 years. The duties of an assistant and associate professor include research, research-based teaching and innovation. The Section is keen to ensure that assistant professors are given supervision and guidance, including education in university teaching. For the position the key qualification requirements are as follows: Documented scientific production/publication and research potential to become an international leader in your field. Ability and desire to contribute to the Section’s national and international collaborative efforts. Ability and desire to disseminate research results and research-based innovation in society Qualifications Candidates for an assistant professorship must hold a PhD degree (or equivalent) associate professorship must hold a PhD degree (or equivalent), as well as academic qualifications equivalent to those obtained by holding an assistant professorship and documented didactic/pedagogic training Your research background should be within intelligent systems, statistical modeling and machine learning as documented by publications in top AI conferences (NIPS, ICML, ICLR, AISTATS, AAAI, CVPR etc). Assessment In the assessment of the candidates, consideration will be given to Experience and quality of teaching Research impact and experience, funding track record, and research vision Societal impact Documented innovation activities, including commercialization and collaboration with industry International impact and experience Leadership potential and collaboration Communication skills We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. The university is located in the greater Copenhagen area, and consequently most staff and students live in Copenhagen. This often named as the best city in the world to live in, and for good reasons. It is world renowned for art, food, music, architecture, biking, the Scandinavian "hygge" and much more. Salary and terms of employment The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The assistant professor position is a permanent entry-level faculty position. After a maximum of 4 years, an assistant professor can be promoted to an associate professor position after assessment. More information can be found here: Career paths at DTU . The positions are full-time positions and we expect the right candidates to start February 1, 2019 or according to mutual agreement. Further information May be obtained from Head of Section, Lars Kai Hansen, lkai@dtu.dk . You can read more about DTU Compute and the involved research sections on www.compute.dtu.dk . Application procedure Please submit your online application no later than 31 October 2018 (local time) . Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file . In the field “Please indicate which position you are applying for”, please indicate whether you are applying for the position as Associate or Assistant Professor. The file must include: Application (cover letter) CV Teaching and research statement, with a focus on the “Assessment” bullet points listed above Documentation of previous teaching and research, as related to the “Assessment” bullet points listed above List of publications (applicants applying for the position as associate professor should indicate scientific highlights) H-index, and ORCID (see e.g. http://orcid.org/ ) Diploma (MSc/PhD) Applications and enclosures received after the deadline will not be considered. All qualified candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. DTU Compute has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programmes at DTU and specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees . DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.
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