Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and more than 8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.
LTH forms the Faculty of Engineering at Lund University, with approximately 9 000 students. The research carried out at LTH is of a high international standard and we are continuously developing our teaching methods and adapting our courses to current needs.
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 may also include teaching and other departmental duties (no more than 20%). The PhD program in mathematics can contain pure as well as applied mathematics in various combinations.
Possible research Projects
We are looking for a doctoral student to each of the following projects. The projects are listed in no particular order and without priority. Please note in the application which project(s) you are interested in.
1. Statistical and fractal properties of dynamical systems related to recurrence
In this project, we will study statistical properties of chaotic dynamical systems, in particular questions relating to recurrence and hitting. Some possible directions of research are dynamical Borel–Cantelli lemmata, quantitative recurrence, and fractal sets related to these kind of questions. The aims of the project are both to find new kinds of theorems, as well as to extend previously known ones to new classes of dynamical systems.
Contact: Tomas Persson
2. Compressed sensing and hyperspectral image reconstruction from aperture coded acquisition of spectroscopic data
The aim of this project is to develop and analyse mathematical models for an optical acquisition technique in hyperspectral imaging known as coded aperture snapshot spectral imaging (CASSI), and to devise fast and reliable algorithms for reconstruction of the original optical signal from one or more CASSI-measurements.
Raman spectroscopy, which can be used for detection of hazardous substances at standoff distance, will be of particular interest. CASSI allows for rapid acquisition of spectroscopic data, which is important in many time-critical applications. The cost of speed is that the spatial and spectral components of the signal get mixed up, so reconstruction becomes a highly ill-conditioned inverse problem. Inherent sparsity in the underlying signal ensures that reconstruction is possible, but existing algorithms are slow and constitutes a bottleneck in the entire process; faster and more reliable methods are needed. To achieve this goal, tools from functional analysis, modern convex optimization and elements of scientiﬁc computing will be used.
Contact: Niels Chr. Overgaard
3. Collective dynamics in co-evolutionary networks of oscillators and neurons
Networks of coupled dynamical units give rise to fascinating collective phenomena such as the synchronization of coupled oscillators. Synchronization is essential to the proper functioning of many natural and technological systems, such as electric power grids and neural networks in the brain.
Often not only the network nodes but also network structure evolves in time. This adds an additional layer of complexity: The collective dynamics of the nodes influence the dynamics of the structure and vice versa, leading to co-evolutionary network dynamics. A prominent example is neural plasticity which facilitates learning or relates todisease in the brain. As a fairly young research topic, we will contribute both to fundamental theory and methods (e.g., What collective dynamics and bifurcations may arise? Are low dimensional descriptions possible?), and be inspired by applications (e.g., How do biological neuronal networks learn?).
This project comprises methods from the theory of dynamical systems, bifurcations, networks/graphs; numerical methods, mathematical biology and statistical physics, to gain insights into co-evolutionary network dynamics.
Contact: Erik Andreas Martens
A person meets the general admission requirements for third-cycle courses and study programmes if the applicant:
- has been awarded a second-cycle qualification, or
- has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or
- has acquired substantially equivalent knowledge in some other way in Sweden or abroad.
A person meets the specific admission requirements for third cycle studies in mathematics if the applicant has:
- at least 90 credits of relevance to the subject area, of which at least 60 credits from the second cycle and a specialised project of at least 30 second-cycle credits in the field, or
- a second second-cycle degree in a relevant subject.
In practice this means that the student should have achieved a level of knowledge in mathematics that corresponds to that of a Master of Science programs in Engineering Mathematics or Engineering Physics alternatively a Master’s degree in mathematics or applied mathematics.
- Very good oral and written proficiency in English
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
- Knowledge and skills relevant to the thesis project and the subject of study.
- An assessment of ability to work independently and to formulate and tackle research problems.
- Written and oral communication skills.
- Other experience relevant to the third-cycle studies, e.g. professional experience.
Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through his or her experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme.
Other assessment criteria
For the projects Statistical and fractal properties of dynamical systems related to recurrence and Collective dynamics in co-evolutionary networks of oscillators and neurons knowledge in dynamical systems theory will be considered a merit.
For the projects Compressed sensing and hyperspectral image reconstruction from aperture coded acquisition of spectroscopic data and Collective dynamics in co-evolutionary networks of oscillators and neurons, skills in computer programming will be considered a merit.
Terms of employment
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 §§.
We intend to hire three doctoral students.
Instructions on how to apply
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.).
You are also required to answer the job specific question as the first step of the application process.