Senior Lecturer in Automatic Control with focus on machine learning at the border between ICT and life science

The Department of Automatic control is recruiting a Senior Lecturer in Automatic Control with focus on machine learning at the border between ICT and life science. 

Automatic Control is an exciting and broad subject, which includes both deep mathematics and practical engineering. Throughout history, it has been central to many fields, from the early development of telecommunications to the space race. Now the technology is driven towards even larger systems and control technology is more relevant than ever. AI and Machine Learning are undergoing strong growth in control technology both nationally and internationally and the demand from students, academia and industry is very high.  

The current position is placed at the Department of Automatic Control, LTH in a research group dealing with data science with applications in life sciences. The group includes an adjunct professor from Institute Roche and another professor and a lecturer.  The department has approximately 60 employees and constitutes a stimulating and international environment consisting of doctoral students, postdoctoral fellows and teachers from many parts of the world. Here, research and teaching take place in an open and progressive climate with challenges and collaborations both within academia and with industrial partners, both nationally and internationally.

This position is part of the strategic research area ELLIIT, Excellence in Linköping and Lund in Information Technology (elliit.se), which is shared between Lund University, Linköping University, Blekinge University of Technology and Halmstad University. In total, Lund has about 200 researchers, of which 110 are doctoral students, with a large proportion of interdisciplinary research.

Lund University and the Department of Automatic Control welcome applicants with different backgrounds and experiences. We see equality and diversity as a strength and asset. Currently, the department has three female professors, including a Lise Meitner professor, and one female university lecturer. Of our 15 senior teachers, 5 have a foreign background. We also have an active Diversity and Inclusion group.

Subject

Automatic Control with focus on machine learning at the border between information and communication technology (ICT) and life science.

Subject description

The subject refers to the branch of control technology that deals with theory, algorithms and method development in machine learning for structuring, analysis and visualization of data in the borderland between information and communication technology (ICT) and life sciences, e.g. biology and medicine.

Work duties

Work duties include:

• Research within the subject area.
• Teaching in the first, second and third cycles of studies.
• Supervision of degree projects and doctoral students.
• Actively seeking external research funding.
• Collaboration with industry and wider society.
• Administration related to the work duties listed above.

Qualification requirements

Appointment to senior lecturer requires that the applicant has:

• A PhD or corresponding research competence or professional expertise considered important with regard to the subject matter of the post and the work duties it will involve.
• Demonstrated teaching expertise.
• Completed five weeks of training in higher education teaching and learning, or acquired equivalent knowledge by other means, unless there are valid reasons.

Assessment criteria

When assessing the applicants, special importance will be given to research and teaching expertise within the subject, weighting research experience stronger than teaching experience.

The assessment criteria specify the aspects to be taken into account, and the level to be achieved, in order for the assessment criteria to be deemed fulfilled. The following assessment criteria must be fulfilled for appointment to senior lecturer:

• A good national and international standing as a researcher. The requirement for international experience shall be assessed with consideration to the character and traditions of the subject.
• Good teaching ability, including a good ability to conduct, develop and lead teaching and other educational activities on different levels and using a variety of teaching methods.
• An ability to supervise doctoral students to achieve a PhD.
• An ability to collaborate with wider society and communicate his or her activities.
• A general ability to lead and develop activities.

Additional requirements

• Very good oral and written proficiency in English.
• Experience as a postdoctoral fellow or equivalent from a country other than the one where you did your dissertation for at least two years.
• Collaborative skills, initiative and the ability to solve work tasks independently.

Other qualifications

• Good connection to relevant industry/public sector, e.g. the pharmaceutical industry.

The extent to which the applicant, through their experience and skills, may complement and strengthen ongoing research, undergraduate education, departmental innovation, and how they can contribute to the future development of the department will also be taken into consideration.

We offer 

Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme.  Read more on the University website about being a Lund University employee: https://www.lunduniversity.lu.se/about-university/work-lund-university.

Instructions on how to apply

Applications shall be written in English. Please draw up the application in accordance with LTH’s Academic qualifications portfolio – see link below. Upload the application as PDF-files in the recruitment system. Read more: http://www.lth.se/english/working-at-lth/to-apply-for-academic-positions-at-lth/