Senior lecturer in Computer Science

Örebro universitet / Högskolejobb / Örebro
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The School of Science and Technology is seeking a senior lecturer in Computer Science for a permanent post.

Subject area
The position is in Computer Science.

Background
The employment is part of a strategic initiative at Örebro University to strengthen its research within artificial intelligence and machine learning. The person we are looking for is prepared to take on a leading role within this strategic scheme and is committed to working in close collaboration with both academic and industry partners.

Duties and responsibilities
A senior lecturer is expected to spend their working hours on education at all levels and research, and any associated collaboration activities. Duties and responsibilities also include supervision, examinations, development work, administration and continuing professional development. A senior lecturer shall also contribute to the University's development.

Your duties will include supervising doctoral students at the research division Centre for Applied Autonomous Sensor Systems (AASS). Activities at AASS are mainly funded by external research grants from various national funding bodies. You will be working to secure continued high levels of external research funding. You will also be contributing to the development of the computer science department through active collaboration other research teams within AASS, as well as with other Swedish universities and industry.

Eligibility
Eligible for the appointment as senior lecturer, other than within the fine, applied and performing arts, are applicants who have demonstrated educational expertise and who have been awarded a doctoral degree within the subject area in question or possess corresponding research skills or some other professional expertise that is of significance in view of the subject matter for the position and the duties that the position will involve.

For any teaching staff appointments at Örebro University, applicants are expected to have completed courses on teaching and learning in higher education corresponding to ten weeks. If applicable, assessments will be made of corresponding knowledge obtained in any other way.

Assessment criteria
When appointing teaching staff, their research expertise as well as their teaching expertise shall be assessed. In the assessment, experience and qualifications in terms of collaboration with the wider community, of which the University is a part, will be evaluated, as will national and international experience and mobility.

The successful candidate should have an established track record demonstrated through grants, and publications should be at the academic equivalent of an associate professor. Candidates should have a documented experience in developing, integrating and/or applying machine learning techniques in their research. Merit will be given for acquisition of own grants, supervision of doctoral students, mobility and networking.

Research expertise

Research expertise shall be demonstrated through independent research contributions and continued scientific publishing following the award of the doctoral degree. Importance shall also be attached to candidates' establishment in the research community as well as to candidates' experience of planning, administrating and leading their own research.

Teaching expertise

Teaching expertise shall be demonstrated through varying degrees of contributions within teaching, such as planning, execution, evaluation and supervision. Applicants shall be able to account for their teaching outlook and approach and have the ability to reflect on their own pedagogical development as well as on the teacher's role. The applicant shall also have contributed to the development of educational activities.

We welcome personal skills and abilities such as an ability to cooperate, power of initiative, as well as an interest in course development and educational development work.

A high degree of involvement in the operations onsite and a preparedness to take responsibility are considered to be of great importance.

Information
See the full ad on https://www.oru.se/english/working-at-orebro-university/jobs-and-vacancies/

Varaktighet, arbetstid
Heltid/ Ej specificerat

Publiceringsdatum
2018-12-11

Ersättning
Individuell lönesättning

Så ansöker du
Sista dag att ansöka är 2018-12-26
Klicka på denna länk för att göra din ansökan

Företag
Örebro Universitet

Adress
Örebro Universitet
fakultetsgatan 1
70182 örebro

Kontorsadress
fakultetsgatan 1

Jobbnummer
4504495

Observera att sista ansökningsdag har passerat.

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