Senior lecturer in mathematics/applied mathematics, specializing in mathematical statistics

Senior lecturer in mathematics/applied mathematics, specializing in mathematical statistics

Ref.nr: 2020/0634

At Mälardalen University people meet who want to develop themselves and the future. Our 15 000 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 Education, Culture and Communication our students are studying to be for example preschool teachers, teachers, special needs teachers, communications officers, language consultants, mathematicians and chamber musicians. Here we have the research specialisations of Educational Sciences and Mathematics. Our work takes place in cooperation with and in strategic agreements with preschools, schools, banks and companies, municipalities and public authorities in the region.

Employment information

Employment: Permanent employment
Scope: Full time
Closing date for application: April 20 , 2020
Campus location: Västeras
School: School of Education, Culture and Communication, (UKK)

Position description

At MDH there is a lively environment in mathematics, including teaching and research oriented towards applied areas such as finance and engineering. We now want to further strengthen this direction by recruiting a senior lecturer specializing in mathematical statistics. The work assignments comprise:

  1. teaching in Mathematics on the first- and second-cycle levels within the University’s Financial Mathematics and Engineering Mathematics study programmes, as well as in other courses and study programmes at Mälardalen University where teaching in Mathematics is conducted,
  2. strengthening of school’s education and research environment in Mathematical Statistics, including the development of courses and study programmes,
  3. supervision of degree projects in Mathematics/Applied Mathematics at the Bachelor’s and Master’s levels,
  4. supervision of doctoral students, and
  5. strengthening research, research studies and interdisciplinary and international cooperation at the University.

It is also expected that a senior lecturer will be actively involved in applications for external funding for supporting research activities, individually and in cooperation with colleagues both internally and externally.

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.

Please include in your application a detailed description of your pedagogical qualifications, for example in the form of teaching experience, course responsibility, level of courses, experience in developing teaching materials, evaluation of teaching carried out, experience in supervising degree projects and PhD students, pedagogical development projects, as well as a description of basic pedagogical values that shape your teaching activities.

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.

Particular importance is attached to the applicant’s merits regarding:

  1. teaching and research in Mathematical Statistics and its applications in business and economics, actuarial mathematics, finance, industry and engineering;
  2. experience from work in the private sector with statistical analysis of real-life financial or industrial data.

The ability to teach in English is a requirement for this post. It is important that the applicant is able and willing to conduct and develop first- and second-cycle education in Mathematics, both for students with Mathematics as their main subject and for students in other subjects with varying study backgrounds and prerequisites.

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

The ability to teach in Swedish is an advantage but not a requirement.

Merit is attached to ongoing active research and documented cooperation with colleagues in other subjects, which have resulted in joint research publications, documented active participation in the construction and development of research and education environment, as well as documented ability to attract external funding for research and education.

Merit is also attached to experience of development and programming of financial models and applications, e.g. in R and Python.

Application

Application is made online here.

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: 2020/0634
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.

Contact

Anatoliy Malyarenko, Professor, 021-10 70 02, anatoliy.malyarenko@mdh.se

Milica Rančić, Head of Division of Applied Mathematics, 021-10 73 53, milica.rancic@mdh.se

Michaël Le Duc, Union representative (SACO), 021-10 14 02

Susanne Meijer, Union representative (OFR), 021-10 14 89

Organisation: 
Contact and application information
Deadline: 
Monday, April 20, 2020
Contact name: 
milkica77