Senior Lecturer in Computer Science -Machine learning in health
Mälardalens Högskola / Högskolejobb / Västerås
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hela Sverige The School of Innovation, Design and Engineering is seeking a senior lecturer who can contribute to the development of the field of data analytics and related areas.
Duties include teaching in the subject of computer science, specifically in the areas of Data Analytics and Artificial Intelligence. Additionally, the teaching duties include supervision, examination, and course development, on all levels from undergraduate to research education.
Apart from teaching, you will be expected to conduct research within the subject area and apply it in your teaching, maintaining courses up-to-date with the latest research.
Your research in data analytics is geared towards applied machine learning in health technology, but you are expected to bring expert knowledge to research projects in other areas in order to expand your field and help build high quality research.
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 data analytics with experience of applied machine learning in the area of health technology. Additionally, experience in advanced biomedical signal processing, e.g., electrocardiography (ECG) and electroencephalography (EEG), as well as image processing within health technology is required.
For other information, consult the Higher Education Ordinance, Chapter 4, and the appointments procedure for Mälardalen University.
MDH in Eskilstuna and Västerås is one of Sweden's biggest university colleges with its 15 000 students and 900 employees. It has a long tradition of cooperating with society and has entered strategic agreements with both the public and the private sector. Most study programmes fall into four main areas: economy, health and welfare, education, and technology. With its research, which often takes the form of co-production on the regional, national and global levels, MDH aims to generate useful solutions for societal development. In 1999, MDH was the world's first university to be environmentally certified, and it was the first higher education institution in Sweden to be certified for its work environment.
Publiceringsdatum2017-03-29Så ansöker duSista dag att ansöka är 2017-04-18
KontaktFredrik Ekstrand 021-10 15 73
FöretagMÄLARDALENS HÖGSKOLA
AdressMÄLARDALENS HÖGSKOLA
BOX 883
72123 VÄSTERÅS
KontorsadressHögskoleplan 1
Jobbnummer 3406084
Observera att sista ansökningsdag har passerat.