Doctoral studies in Computational Science
The doctoral programme in Computational Science encompasses scientific studies that apply and develop computational methods for advanced calculations, with the aim of solving research problems in the natural sciences, engineering, or medicine.
The programme leads to a Degree of Doctor of Philosophy at Lund University and normally comprises four years of full‑time study. Approximately one year is devoted to courses and seminars, while the remaining time is dedicated to research.
A doctoral thesis in Computational Science typically consists of a comprehensive summary (kappa) together with a collection of scientific articles that have been published, or are intended for publication, in international journals. The thesis is defended at a public defense with an external opponent and an examination committee that evaluates the work.
Subject Area: Computational Science
Computational Science is broadly defined as research that applies and develops computational methods for advanced computer simulations and analyses, with the aim of solving scientific problems in the natural sciences, engineering, or medicine.
Research questions are investigated using non‑trivial computational methods, modelling, data analysis, or software development. The research may involve simulations and modelling, as well as data analysis and data management, and the development of models, methods, and software.
A doctoral project in Computational Science is inherently interdisciplinary, as both the scientific questions within the chosen application area and the computational aspects constitute essential components of the thesis work.
Contact
Tobias Ambjörnsson
Assistant Director of Studies
Responsible for the doctoral programmes in Environmental Science and Computational Science.
E-mail: tobias [dot] ambjornsson [at] mgeo [dot] lu [dot] se (tobias[dot]ambjornsson[at]mgeo[dot]lu[dot]se)

Syllabus for each subject
At this page, under the title "Subjects", you will find a syllabus for each doctoral programme, containing information about admission requirements, selection process, course content and more - science.lu.se