As part of the major new Oxford-Swansea-Liverpool Center for Topological Data Analysis (funded by EPSRC grant EP/R018472/1), we are looking for a PhD student to join the Swansea team in investigating applications of topology to data science and physics.
Our team consist of:
Dr Pawel Dlotko - interested in applied and computational topology and data analysis.
Dr Jeffrey Giansiracusa -interested in topology and tropical algebraic geometry.
Prof. Biagio Lucini -interested in computational physics and quantum theory.
A postdoc with research interests in topological data analysis.
Multiple PhD students
The precise focus of the project will be adapted to the interests and background of the successful candidate. Potential emphasis could be in one or more of the following: new computational methods in topological data analysis, algebraic/geometric and category theoretic aspects of topology, topological analysis of phase transitions and topological objects in quantum field theory and other systems.
For more details please consult:
Do you have any questions? Please let us know:
Jeffrey Giansiracusa (email@example.com.)
Pawel Dlotko (firstname.lastname@example.org)
Topological Data Analysis and Persistent Homology - First Announcement
A school devoted to Topological Data Analysis and Persistent Homology will take place from Monday, June 11 to Friday June 15, 2018, at the Hotel Bellavista in Levico Terme (Trento, Italy), in the framework of the scientific activity of CIRM-FBK (cirm.fbk.eu/).
The program consists of three mini-courses delivered by John Harer (Duke University), Steve Oudot (INRIA Saclay) and Christopher J. Tralie (Duke University).
For details we refer to the official webpage of the school, now published at the link http://www.science.unitn.it/cirm/TDAPH2018.html
Some funds to cover living expenses for young participants are available.
The deadline for registration and application for financial support is April 30, 2018.
Carola Wenk writes
I have an opening for a PhD position in the use of topological descriptors and HPC methods for digital pathology, see below.
A PhD research assistantship in visualization and computational topology of biomedical data is available in the Department of Computer Science at Tulane University under the supervision of Brian Summa and Carola Wenk, part of the NSF-funded project "Quantifying Morphologic Phenotypes in Prostate Cancer - Developing Topological Descriptors for Machine Learning Algorithms". See here for more information on the project:
This is an interdisciplinary project including faculty and students from Tulane University and Montana State University in the areas of Mathematics, Computer Science, Biomedical Engineering, and Pathology.
The focus of this PhD research assistantship is on the visualization and high-performance computing aspects of topological descriptors computed on gigapixel image data. This research assistantship is for three years of the typically 5-year PhD program in Computer Science, starting in Fall 2018.
For more information and to apply please contact Brian Summa (email@example.com) or Carola Wenk (firstname.lastname@example.org). See here for more information and application instructions for Tulane's Computer Science PhD program: http://www2.tulane.edu/sse/cs/academics/graduate/
Elizabeth Munch writes:
I am hiring a postdoc in topological data analysis with an emphasis on Reeb Graphs, mapper, and the interleaving distance to start in the fall of 2018. The successful applicant will have a strong math and/or theoretical computer science background, as well as comfort with programming and implementation.
More information and how to apply can be found here :
Of course, feel free to email me with any questions at email@example.com.