Assistant Professor in applied mathematics with focus on medical image analysis

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

The Center for Mathematical Sciences at LTH is Hiring an Assistant Professor in Applied Mathematics with Focus on Medical Image Analysis

The position will be based at the Division of Computer Vision and Machine Learning (CVML) at the Center for Mathematical Sciences (https://www.maths.lu.se). The Centre for Mathematics Sciences is a joint institution of the Faculty of Engineering (LTH) and the Faculty of Science (N) at Lund University, where the mentioned division formally belongs to LTH.

CVML consists of ten senior researchers and about 20 PhD students. Research in the area of image analysis and computer vision started in the mid-1980s and currently includes (i) Geometry and Computer Vision, (ii) Medical Image Analysis, and (iii) Machine Learning and Artificial Intelligence. The division has extensive experience of basic research in computer vision, image analysis and machine learning, as well as a history of translating research results into practical applications for end users. In Medical Image Analysis, the division has worked on a wide range of topics, including radiology, MR-imaging, digital pathology, scintigraphy and ultrasound for the diagnosis of, for example, prostate cancer, breast cancer, dementia and skin cancer, as well as in cardiology and myocardial ischemia.

Subject

Applied mathematics with focus on medical image analysis

Subject description

The research area is mathematical and statistical analysis of images, text and other data modalities with applications in the medical field. This includes in particular the development, analysis, and application of methods from machine learning and statistical learning to problems in medical image analysis. The data mainly involves MR- and X-ray images as well as scintigraphy, microscopy and ultrasound images, but can even be multimodal medical data consisting, for instance, of a combination of images, one-dimensional signals, and patient data in the form of text. The research has a wide range of medical applications, such as  digital pathology, cardiology, dermatology, oncology, etc.

Work duties

Employment as an assistant professor is a tenure track position, which aims for the holder to develop their independence as a researcher and educator. The work duties mainly involve research and teaching. The position includes the opportunity to undertake five weeks of training in teaching and learning in higher education.

Work duties include:

• Research within the subject area.
• Teaching in first, second and third cycle studies.
• Supervision of master theses and doctoral students
• Applying for external research funding
• Collaboration with industry and wider society
• Collaboration with researchers in the medical field and with doctors and other clinical staff
• Administration related to the tasks listed above.

Qualification requirements

Qualification requirements for employment as an assistant professor are fulfilled by someone who has been awarded a doctorate or has the corresponding research competence.

Primary consideration should be given to someone who has been awarded a doctorate or achieved the equivalent competence within five years of the deadline for application for employment as an assistant professor. However, someone who has been awarded a doctorate or achieved the equivalent expertise at an earlier date may also be considered if there are special grounds. Special grounds are sick leave, parental leave or other similar circumstances.

Assessment criteria

For appointment to assistant professor, the following shall form the assessment criteria:

• A good ability to develop and carry out high quality research.
• Teaching ability.

Additional requirements

• Very good oral and written proficiency in English.

• Experience in collaborating with physicians, clinical staff or other researchers in the field of medical sciences
• Experience in the development, analysis and application of mathematical methods, especially machine learning methods, to medical imagery or data.
• Experience with machine learning development environments such as TensorFlow, Keras, PyTorch or similar.
• Collaborative skills, initiative and the ability to solve work tasks independently, as well as a demonstrated interest in leadership.

Other qualifications

Significant documented research experience (e.g. from postdoc or doctoral studies) from another university/institute or relevant experience from industry/public sector.

• Experience in teaching first or second cycle courses.
• Experience in the supervision of master theses projects and PhD students.

Experience in successfully applying for external research funding.

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.

Terms of employment
This is a full-time, fixed-term employment of 6 years. The employment is regulated in accordance with Chapter 4 Section 12a§ HEA. The purpose of the appointment is for the teacher to be given the opportunity to develop research autonomy and acquire the scholarly and teaching qualifications required for eligibility for appointment as a senior lecturer.

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/

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Promotion to Senior Lecturer in Applied mathematics with focus on medical image analysis.

During the period of employment, an assistant professor can apply for promotion to a permanent position as Senior Lecturer if he or she has the required qualifications listed below, and is deemed suitable. An assistant professor can only apply for promotion once.

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.

Assessment criteria

The assessment criteria specify the aspects to be considered, and the level to be achieved, 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

• Good ability to collaborate, independence and drive.
• Sufficient knowledge of Swedish to carry out administrative and educational tasks that require an understanding of Swedish.
• Progression in research and teaching expertise.

Demonstrated ability to attract external research funding in competition.

LTH is Lund University’s Faculty of Engineering. At LTH we educate people, build knowledge for the future and work hard for the development of society. We create space for brilliant research and inspire creative advancements in technology, architecture and design. We have nearly 10,000 students. Every year, our researchers – many of whom work in world-leading profile areas – publish around 100 theses and 2 000 scientific findings. In addition, many of our research and degree projects are transformed into innovations. Together we explore and create – to benefit the world.

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