The main subject areas of ML-driven research within the department are image analysis, language technology, robotics and intelligent systems, and bioinformatics. We expect candidates to show a strong record of conducting research in ML and with a specialization within one or more of these subject areas, in terms of both research experience and teaching qualifications. The position will be located with one of the relevant research groups within the department; DSB, LTG, ROBIN, or BMI. Candidates are expected to initiate, lead and carry out original research within ML and to acquire external funding for new research projects. Candidates will also take part in teaching and developing various machine learning courses within the department.
Up to 50% of the working time will be devoted to teaching (including supervision of students), teaching related activities, and administrative tasks. The department offers classes at the bachelor, master and PhD-level. Lectures and tuition are given in English and Norwegian (at the bachelor level).
University of Oslo
The candidates must have a PhD in a relevant area and have actively conducted research in machine learning after the reception of the doctorate, demonstrating a strong record within the field. The candidate must document scientific achievements and experience in education and research leadership.
The candidates must clearly state which subject area(s) and research group(s) that the application targets. Competence and research interests in more than one of the relevant subject areas will be considered an advantage. This should then also be reflected in the research plan submitted as part of the application.
Candidates must have a PhD in a relevant area for the position and a scientific track record that confirms his or her capacity to take up new and challenging issues.
Candidates must have a strong research background in machine learning, including applications of ML to at least one of the research areas of computer vision, language technology, robotics and intelligent systems, or bioinformatics.
A strong record of publications relevant to the area is required. Candidates must have international publications in acknowledged publication channels. In the assessment of publications, originality, quality and scope will be emphasized.
Research output from the previous 5 years will be given particular weight.
Since the field of machine learning is rapidly evolving, versatility and a proven ability to adapt the research focus is considered an advantage.
Candidates should also be able to lead, conduct and collaborate in research projects. A strong track record in academic and administrative leadership is an advantage, as well as experience in the acquisition of research grants.
Candidates will be assessed with respect to all relevant documented pedagogical experience and skills.
Candidates must have teaching experience in machine learning and have a commitment to engage in undergraduate and graduate education and in mentoring and advising master and doctoral students.
Additional group-specific criteria:
For candidates applying towards the Language Technology Group, experience with neural methods is a requirement and will be given weight in the assessment.
For candidates applying towards the Digital Signal Processing and Image Analysis Group, solid experience with convolutional networks for image analysis, in addition to a background in traditional image analysis is a requirement and will be given weight in the assessment.
The successful candidates should have an international profile with respect to the above criteria. The candidates for this position will be selected based on excellence and fit with the research profile of the relevant research group(s).
Interviews will be part of the appointment process, along with a trial lecture.
About University of Oslo
The University of Oslo is Norway’s largest and oldest institution of higher education. It was founded in 1811 when Norway was still under Danish rule. The university has around 27,700 students and employs around 6,000 people. It has faculties of (Lutheran) Theology (Norway's state religion since 1536), Law, Medicine, Humanities, Mathematics and Natural Sciences, Social Sciences, Dentistry, and Education. The university's old campus, strongly influenced by Prussian architect Karl Friedrich Schinkel's neoclassical style, is found in the centre of Oslo, near the National Theatre, the Royal Palace, and the Parliament. Today the old campus is occupied by the Faculty of Law, whereas most of the other faculties are located at the Blindern campus in the suburban West End, erected from the 1930s. The Faculty of Medicine is split between several university hospitals in the Oslo area.