Professor of Machine Learning
The Department of Computer Science at the University of Copenhagen is seeking candidates for a full professorship in Machine Learning. The new professor is expected to make a significant contribution to leadership in the Machine Learning field within the Department of Computer Science. The professor must ensure that Machine Learning research, teaching, and outreach activities are thriving, and act as a mentor to young researchers.
Outstanding applicants in all areas of Machine Learning will be considered, but research areas of special interest include:
- Machine Learning theory
- Online Learning
- Learning Theory
- Reinforcement Learning
We are looking for an outstanding, experienced researcher with an innovative mindset and intellectual curiosity to strengthen and complement the research profile of the department's Machine Learning Section. The section's research is concerned with machine learning spanning from theoretical, over algorithm development, to solving concrete problems for science, industry, and society within: medical image analysis; bioinformatics and molecular biology; natural language processing and understanding; information retrieval and web data mining; multimodal processing; digital education and teaching technology.
The University of Copenhagen was founded in 1479 and is the oldest and largest university in Denmark. It is often ranked as the best university in Scandinavia and consistently as one of the top places in Europe.The department of Computer Science offers a friendly and thriving international research and working environment with opportunities to build up internationally competitive research groups. The University of Copenhagen offers working conditions supporting a healthy work-life balance and Copenhagen is a family friendly capital city.
The department values interdisciplinary research and teaching and is actively involved in several cross-faculty research projects and educational programmes. Thus, the successful candidate must be capable of and interested in facilitating cross-disciplinary interactions both within the Computer Science Department and across the university. The candidate is expected to engage in interdisciplinary teaching, including courses for students with a non-technical background, e.g., health sciences.
- A research doctorate or equivalent in Computer Science, applied mathematics, statistics, or another relevant field.
- A demonstrated relevant world-class track record of high quality research and scholarship as evidenced by publications in internationally leading journals and conferences.
- A track record of leadership, including leading of a research group, effective management of academic staff, organization of workshops and conferences, and involvement in outreach activities.
- A track record in attraction of research funding from competitive grant agencies and other sources including industry.
- Drive, energy, and a vision for building and leading a world-class research group in machine learning theory.
- Demonstrated capacity to teach effectively across a range of subjects, including the capacity to supervise undergraduate and graduate students; and develop curriculum and learning resources. Experience in interdisciplinary teaching will be an advantage. Applicants are required to have university level teaching experience, documented teaching competencies and must be able to explain and reflect upon own teaching practice and portfolio. Formal pedagogical training or supervision equivalent to the University of Copenhagen teacher training programme for assistant professors is required.
- Good communication and interpersonal skills with the ability to establish and maintain effective working relationships with other researchers, students, and technical-administrative staff.
Duties include the applicant’s own research, development of the field, assessment tasks, grant applications, and research management such as supervision and training of research fellows and other staff. The successful applicant must also teach, supervise, prepare and participate in examinations, and fulfill other tasks requested by the Department.
The professor is expected to secure competitive external funding and build an internationally recognized research group.
Assessment of applicants will primarily consider their level of documented, original scientific production at an international level, including contributions to developments in their field, and their documented teaching qualifications. Managerial and outreach qualifications of applicants including ability to attract external funding will also be considered.
Further information on the Department is linked at http://www.science.ku.dk/english/about-the-faculty/organisation/.
Inquiries about the position can be made to Head of Section, Professor Christina Lioma (email@example.com; cell phone +45 2155 4731) and Head of Department, Professor Mads Nielsen (firstname.lastname@example.org; cell phone +45 2460 0599).
The position is open from 1 February 2021 or as soon as possible thereafter.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff.
Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.
Commencing salary is currently DKK 631.596 including annual supplement (+ pension DKK 108.003). Negotiation for salary supplement is possible.
The application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.
- Curriculum vitae including information about external funding
- Diplomas (Master and PhD degree or equivalent)
- Research plan – description of current and future research plans
- Description and documentation of teaching experience and qualifications according to university guidelines
- Complete publication list
- Separate reprints of 5 particularly relevant papers
The deadline for applications is Sunday 9 August 2020, 23:59 GMT +2.
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.
You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/.
Interviews/trial lectures will be held on 26 November 2020
Please refer to the following no. in future communication in this case: 211-0051/20-2K.