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 position will be based at the Division of Computer Vision and Machine Learning (CVML) at the Centre for Mathematical Sciences (https://www.maths.lu.se). CVML has about ten senior researchers and about 20 graduate students. Research in this area 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 in basic research in computer vision, image analysis and machine learning, as well as in a wide range of applications of these fields. In Medical Image Analysis, the division has worked on a wide range of areas, including radiology, magnetic resonance 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.
The Centre for Mathematical Sciences works systematically and continuously with the work environment, both physical and psycho-social. Work environment is a standing item at board meetings and is also addressed at each performance review.
This PhD position is funded by the Palmary Foundation, https://www.palmary.foundation/doktorandenstelle.
The PhD subject is Applied Mathematics and the research focus is the development and analysis of methods for Medical Image Analysis, especially using machine learning techniques.
In applied mathematics, mathematical methods and models are developed and analyzed, which are applicable to problems from various sciences such as physics, computer science, medicine, biology, economics and the like. Research in applied mathematics involves the development, analysis and implementation of methods and models designed to solve mathematically formulated problems. It may also include the use of such methods to develop new technologies in other sciences such as engineering, science and medicine.
The main duties of doctoral students are to devote themselves to their research studies which includes participating in research projects and third cycle courses. The work duties will also also include teaching and other departmental duties (no more than 20%).
Detailed description of the work duties, such as:
The research focus of this call is the development and analysis of machine learning methods, mainly deep neural networks, for the analysis of images, image sequences or metadata, such as text, for medical applications. Examples of different questions you can work on are prostate cancer detection from microscopy images of diopsies, breast cancer detection from ultrasound, analysis of dementia progression from brain MRI images, and automatic selection of examination type from radiology referrals.
The thesis work will include development of new methods, theoretical analysis, algorithm design, planning and execution of experiments, collection of data, writing of scientific papers and presentation of the results at international conferences and in international journals.
A person meets the general admission requirements for third-cycle courses and study programmes if the applicant:
A person meets the specific admission requirements for third cycle studies in Applied Mathematics if the applicant has:
Additional requirements:
Selection for third-cycle studies is based on the student’s potential to profit from such studies. The assessment of potential is made primarily on the basis of academic results from the first and second cycle. Special attention is paid to the following:
Other assessment criteria:
Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme.
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 Work at Lund University.
Only those admitted to third cycle studies may be appointed to a doctoral studentship. Third cycle studies at LTH consist of full-time studies for 4 years. A doctoral studentship is a fixed-term employment of a maximum of 5 years (including 20% departmental duties). Doctoral studentships are regulated in the Higher Education Ordinance (1993:100), chapter 5, 1-7 §§.
Applications shall be written in English and include a cover letter stating the reasons why you are interested in the position and in what way the research project corresponds to your interests and educational background. The application must also contain a CV, degree certificate or equivalent, and other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.).
Welcome to apply!
Type of employment | Temporary position |
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First day of employment | By agreement |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Lund |
County | Skåne län |
Country | Sweden |
Reference number | PA2024/2932 |
Contact |
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Union representative |
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Published | 01.Nov.2024 |
Last application date | 13.Dec.2024 11:59 PM CET |