Senior Lecturer in Digitalisation of Agriculture

SLU - Swedish University of Agricultural Sciences

Uppsala, Sweden

Subject description

The subject encompasses digitalisation in agriculture, with a focus on the application of mechatronics or robotics.

Duties

The candidate should within the subject area:

• develop and lead internationally prominent research with a focus on crop production
• develop, strategically lead and participate in teaching at first, second and third cycle level
• primarily teach within the MSc in Engineering programmes at SLU, but also contribute to other educational components at first, second and third cycle level where the subject is included
• supervise doctoral students
• develop and maintain national and international networks with academia, relevant public authorities, industry, organisations and society at large
• apply for external research funding
• contribute to the strategic development of the department, faculty and SLU
• communicate research findings and other relevant information to society at large
• perform administrative duties within the department, the faculty, and the university

Swedish and English are used in parallel at the department. The senior lecturer should be able to perform the majority of their tasks in English. However, as a public authority, the university has Swedish as its main language according to the requirements of the Language Act and the appointee is expected to be able to communicate in Swedish within four years of taking up the position. The department will support the appointee in achieving this.

Eligibility

The applicant must meet the following qualification requirements:

• PhD or equivalent scientific competence
• research expertise in the subject area
• teaching expertise and ability to integrate research and a scientific approach into teaching
• good knowledge of English

Assessment criteria

In the assessment criteria for employment, the primary consideration should be the level of skill required for eligibility for the position. Assessment of the eligible applicant’s suitability for the employment will primarily be based on:

• completed and ongoing research in the subject area
• ability to independently initiate and conduct outstanding research
• ability to obtain external research funding in competition
• ability of planning, implementation and examination, as well as evaluation of own teaching
• supervision and examination of doctoral students
• the ability to integrate research and a scientific approach into teaching and pedagogical practice
• pedagogic vision and reflection

Furthermore, the assessment will consider the applicant’s expertise in:

• developing and leading activities within academia
• collaborating with relevant stakeholders and society
• communicating research findings and development

It is advantageous if the applicant has experience in research or development in the field of autonomous field robots.