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PhD Scholarship in Computational Biology at Lund University

Applicants are invited to apply for a PhD scholarship in environmental sciences at Lund University. The funding allows successful candidate to work for four years. Applications should be sent before October 07, 2018.

Lund University was founded in 1666 and is repeatedly ranked among the world's top 100 universities. The University has 40 000 students and 7 400 staff based in Lund, Helsingborg and Malm. We are united in our efforts to understand, explain and improve our world and the human condition.

The Faculty of Science conducts research and education within Biology, Astronomy, Physics, Geosciences, Chemistry, Mathematics and Environmental Sciences. The Faculty is organized into nine departments, gathered in the northern campus area. The Faculty has approximately 1500 students, 330 PhD students and 700 employees.

The activities of the Department of Astronomy and Theoretical Physics are centred around three main areas: Astronomy and Astrophysics; Theoretical Particle Physics; and Computational Biology and Biological Physics. Our research is driven by our curiosity to understand reality, from the smallest of particles to the largest astronomical structures, as well as the structure of Life itself. We have a strong international position in all three areas, and we are actively working on further strengthening our international profile.

The successful applicant will work on Systems Biology projects pursued in close collaborations with stem cell and cell reprogramming research groups. The projects will imply development and application of computational models for gene regulatory networks governing cell fate decisions. The aim is to disentangle mechanisms controlling stem cell decisions and make model predictions that lead to improved cell differentiation and cell reprogramming for neurons and T- cells. The computational models will be multi-level — multi-scale models taking into account various level of cell regulation both in single cells and in cell populations. The modelling techniques will involve Boolean and Dynamical Systems approaches. The research will be conducted at Computational Biology and Biological Physics (CBBP) Group and supervised by Victor Olariu Annell. CBBP pursues a very broad spectrum of research activities from developing models for structure and folding properties of macromolecules to machine learning and statistical techniques for cancer prognosis.

The position is open to students of all nationalities who fulfil the basic and special eligibility demands in the study plan http://www.science.lu.se/sites/science.lu.se.internal/files/syllabi_theoretical_physics.pdf . In brief, the requirements are that the student, at the time of starting the PhD studies, have completed a master degree in biomedical subjects, chemistry, physics, mathematics or computer science and 60 second-cycle credits in bioinformatics, computational biology or associated subjects, i.e. a total of at least four years of full-time University studies (240 ECTS credits).

Regulations concerning appointment as a full PhD student can be found in HF 5 Chap 1-7 and SFS 1998:80. Those who hold a doctoral student appointment must first be accepted for postgraduate study. To be accepted, a student must be judged to have the competence necessary to complete a PhD during the tenure of the appointment. Among candidates, a ranking will be based on grades, the quality of undergraduate theses, if any, letters of recommendation, other relevant information provided, and ultimately interviews.

Keen interest in Systems Biology as well as algorithm development and good programming skills are a prerequisite. Previous experience with Systems Biology and computational model development is an advantage. Very good level of both written and spoken English is necessary. Knowledge and excitement for stem cells research is also an advantage.

In addition to pursuing postgraduate studies, the doctoral student may be required to perform other duties – including research, teaching and administration – according to the specific regulations.

Applications should include a curriculum vitae, a description of research interests and past experience, copies of degrees, diplomas and grades, and copies of any previous research-related work. The CV should contain at least date and place of birth, nationality, address, education, and language skills, but may also contain e.g. additional skills, personal interests, honors and awards, teaching experience, conference and summer school participation, and publication lists. Upon request the applicants must be able to show original documents of degrees etc.

The application should also include the names, positions, telephone numbers and e-mail addresses of at least two persons who have agreed to serve as a reference for the applicant. Note that reference letters should not be sent in connection with the application; we will contact the reference persons when required.

Type of employment

Limit of tenure, four years according to HF 5 kap 7.


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