Senior Lecturer in Computer Science - Artificial Intelligence

Mälardalens Högskola / Högskolejobb / Västerås
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At Mälardalen University people meet who want to develop themselves and the future. Our 16 000 students read courses and study programmes in Business, Health, Engineering and Education. We conduct research within all areas of education and have internationally outstanding research in future energy and embedded systems. Our close cooperation with the private and public sectors enables us at MDH to help people feel better and the earth to last longer. Mälardalen University is located on both sides of Lake Mälaren with campuses in Eskilstuna and Västerås.

At the School of Innovation, Design and Engineering our students are studying to be for example innovators, entrepreneurs, illustrators, communications officers, network technicians and engineers. Here we have the research specialisations of Embedded Systems, and Innovation and Product Realisation. Our work takes place in cooperation with and in strategic agreements with companies, organisations and public authorities in the region.

Employment information
Employment: Temporary employment 9 months
Scope: Full time
Closing date for application: 2020-04-26
Campus location: Västeras
School: School of Innovation, Design and Engineering, (IDT)

Position description
The School of Innovation, Design and Engineering is seeking a senior lecturer in computer science with a focus in artificial intelligence and industrial applications. Your main focus is to lead the implementation of our bachelor program in applied artificial intelligence.

Duties include teaching in programming and artificial intelligence, as well as supervision, examination, and course development, on all levels from undergraduate to research education.

Apart from teaching, you are expected to conduct research within your subject area and apply it in your teaching, maintaining courses up-to-date with the latest research.

You are expected to also bring expert knowledge to research projects in other areas in order to expand your field and help build high quality research.

Qualification requirements
The qualification requirements for appointment as a Senior Lecturer are both documented teaching skills and also a degree of Doctor, or equivalent academic competence or other professional qualifications of significance with regard to the subject content of the appointment and the duties included in the appointment.

To be qualified for appointment as a Senior Lecturer the applicant must have demonstrated the academic skills and teaching abilities required for the appointment. Academic skills may also have been demonstrated by the ability to achieve results in research through cooperation in joint projects of benefit to academia and industry/the public sector/society in general and through the ability to disseminate research.

The assessment of teaching skills shall apply to the planning, carrying out and evaluation of teaching as well as supervision and examination. Teaching skills shall be well documented in such a way that their quality can also be assessed.

The applicant should have completed ten weeks of training in higher education teaching and learning, or have otherwise acquired equivalent knowledge. A person appointed as a Senior Lecturer but lacking training in higher education teaching and learning will be offered in-house training during the first year. The course in higher education teaching and learning at Mälardalen University corresponds to ten weeks of training.

The applicant is required to have a research profile in the field of artificial intelligence, particularly nature-inspired intelligence, with experience of industrial application.

Additionally, documented experience of course responsibilities and development in Artificial Intelligence, together with high student teaching evaluation is required.

For other information, consult the Higher Education Ordinance, Chapter 4, and the Appointments Procedure for Mälardalen University.

Assessment criteria
The assessment criteria shall be based on the degree of skills required for the appointment. In general terms these assessment criteria shall include the ability to cooperate as well as the ability and suitability otherwise required to fulfil the duties well.

The same attention shall be paid to the assessment of teaching skills as to the assessment of academic skills.

As Mälardalen University conducts most of its research in externally funded projects, the ability to write successful funding applications is an important part in the assessment of academic skills.

The duties require communicative skills, both in writing and in speech, in both Swedish and English. Applicants not fluent in Swedish are expected to work actively towards criteria fulfilment.

Decisive importance is attached to personal suitability. We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organisation.

Merit
Competence in evolutionary optimization and learning techniques is considered of high merit.

Experience of artificial intelligence in real industrial systems and successful collaboration with leading companies are considered of high merit.

Experience in development of program of higher education is considered of high merit.

Experience with AI for embedded systems and machine vision is considered of high merit.

Interest in developing artificial intelligence and optimization methods and apply them into different industrial application areas is an important plus.

Application
Application is made online. Make your application by clicking the "Apply" button below.

The scientific publications that you do not have in digital form are to be sent by post in three copies to:

Mälardalen University
Division of Human Resources
Ref.no: 2020/1013
Box 883
721 23 Västerås

The applicant is responsible for ensuring that the application is complete in accordance with the advertisement and will reach the University no later than closing date for application.

We look forward to receiving your application.

We decline all contact with recruiters and salespersons of advertisements. We have made our strategic choices for this recruitment.

Varaktighet, arbetstid
Heltid/ Ej specificerat

Publiceringsdatum
2020-04-15

Ersättning
Månadslön

Så ansöker du
Sista dag att ansöka är 2020-04-26
Klicka på denna länk för att göra din ansökan

Företag
Mälardalens Högskola

Omfattning
Detta är ett heltidsjobb.

Arbetsgivare
Mälardalens Högskola (org.nr 202100-2916), http://www.mdh.se

Arbetsplats
Mälardalens högskola

Jobbnummer
5190427

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