Raul Rabadan and Andrew Blumberg have just published a book on TDA and applications in biology.
CALL FOR PARTICIPATION
Dear Scientists and Mathematicians,
We wish to announce the upcoming conference
Structure of Materials
TU Berlin (Germany), March 23-27, 2020
The conference is organized within the third Berlin Thematic Einstein
Semester on the “Geometric and Topological Structure of Materials”,
devoted to recent developments in the field of computational materials
The semester aims at bringing together experts from the sciences
with experts from computational topology, computational algebraic,
discrete differential and stochastic geometry working on the structure
and function of materials.
Paweł Dłotko (Swansea U)
Francisco Garcia-Moreno (Helmholtz-Zentrum Berlin)
Miranda Holmes-Cerfon (New York U)
Stephen Hyde (ANU)
Matthew Kahle (Ohio State U, TU Berlin)
Michael Klatt (U Princeton)
Daphne Klotsa (U North Carolina)
Emanuel (Menachem) Lazar (Bar-Ilan U)
Xiaoming Mao (U Michigan)
Claudia Redenbach (TU Kaiserslautern)
Benjamin Schweinhart (Ohio State U)
James A. Sethian (UC Berkeley, LBNL)
Berend Smit (EPFL)
Ileana Streinu (Smith College)
Bernd Sturmfels (UC Berkeley, MPI Leipzig)
Barbara Zwicknagl (TU Berlin)
Contributed Talks and Posters:
We are inviting abstracts for contributed oral presentations
and for posters. The deadline for abstract submission is
*** January 15, 2020 ***
Please submit title and abstract via
(Notification is by January 22, 2020.)
free (except conference dinner).
please register via
We are hopeful of encouraging people from a wide variety of scientific
and mathematical backgrounds to attend. Any queries can be addressed
to the organizing committee at
Best regards, and we hope to see you in Berlin,
Myfanwy Evans (TU Berlin)
Kathryn Hess Bellwald (EPFL)
Frank Lutz (TU Berlin)
Dmitriy Morozov (LBNL)
Ileana Streinu (Smith College)
We are pleased to announce that next year’s Young Topologists Meeting will take place between 6-10 July 2020 in Stockholm, jointly organized by the KTH Royal Institute of Technology and Stockholm University.
The intention of the conference is to create a setting in which young researchers in topology can meet each other and share their work. The program will consist of short talks given by the participants and three lecture series by invited speakers. This year’s invited speakers are Kathryn Hess (EPFL), Thomas Nikolaus (WWU Münster) and Karen Vogtmann (Cornell University and University of Warwick).
More information will be available soon on the conference website https://sites.google.com/view/ytm2020. The registration is now open.
Ruben Sanchez-Garcia is looking to recruit a Research Fellow on an Alan Turing Institute funded pilot project ‘Automatic detection of genetic oscillators’. The aim is to combine new high-throughout single-cell profiling with advances in topological data analysis and network modelling to identify combinations of genes that oscillate in a coordinated way. He is looking for candidates with a PhD in Mathematics, Bioinformatics, Computer Science, Physics or related field, with a background and/or interest in applied topology, networks and discrete mathematics.
The position is full time for a fixed term of 12 months, although the aim of this Pilot Project is to lead to proposals for further funding. The starting date is 01/01/2020 or as soon as possible thereafter. The full advert can be found athttps://jobs.soton.ac.uk/Vacancy.aspx?ref=1218219PJ and informal enquiries can be made via email to R.Sanchez-Garcia@soton.ac.uk
We are excited to announce the 9th installment in a conference series on Algebraic Topology: Methods, Computation, and
Science (ATMCS), which will be held at the Ohio State University, on June 8–12, 2020.
The local organizers are Prof. Tamal Dey, Prof. Matthew Kahle, Prof. Facundo Memoli and Prof. Yusu Wang from the TGDA@OSU group.
A key goal of the
conference series is the further development of topological and geometrical techniques for use in applications in biology, materials science, neuroscience, among other fields, and the creation of new areas of applications. This conference series maintains
a strong tradition of bringing together leading established researchers and young scientists in this emerging discipline, thus providing an opportunity for the exchange of experience and the development of new research ideas.
ATMCS9 invites submissions for contributed
short talks (30 minutes) or research posters. For more information see https://easychair.org/cfp/ATMCS-2020.
The website of the conference
is being updated regularly with up to date information, so please be sure to check back as the conference date approaches. In particular, we expect to have some travel funding available. Priority for such funding will be given to early-career researchers and
underrepresented groups. Details about funding applications will be made available around mid-March 2020.
Please don’t hesitate to write to email@example.com if you have any questions. We look forward to welcoming you at OSU!
The ATMCS 9 organizing committee.
Applications are invited for the role of Postdoctoral Research Assistant to undertake research in the ‘Topological Analysis of Maritime Data’ project under the supervision of Dr. Primoz Skraba. This is a project funded from the Defence Science and Technology Laboratory and the Alan Turing Institute. The project will also include collaboration with Dr. Vidit Nanda at Oxford.
The role involves the application of topological data analysis techniques for anomaly detection. This involves various aspects of topological data analysis including but is not limited to persistent homology and the various tools to compute it, distances and statistics on persistence diagrams, and stratified spaces.
The appointee will need to have a PhD (or equivalent) in mathematics, computer science, or related (obtained or near to completion) or equivalent qualification.
For more information, see MathJobs https://www.mathjobs.org/jobs/jobs/15334
The Mathematical Sciences Institute at the Australian National University is seeking a Postdoctoral Fellow for the modeling of stratified spaces using computational topology.
About the Position This position will contribute to the research effort being led by Katharine Turner, in collaboration with Stephen Roberts and Markus Hegland, within the Mathematical Sciences Institute. The position will collaborate with them on modelling stratified spaces from point cloud data using methods from computational topology. The position will also collaborate with other internal and external researchers relevant to the project, along with research students and professional staff, as required. In addition, the postdoctoral fellow will have multiple opportunities to present their findings at conferences and workshops. Applicants are expected to have an outstanding research record in computational topology or a related area, as evidenced by publications in peer-reviewed journals, software development and attendance at workshops and conferences. This is a research intensive position and the level of, Academic Level A or B, is to be determined by the appointee’s current research and teaching expertise. The successful candidate will be involved in some teaching both in their area of specialisation and standard mathematics undergraduate courses, however this will be at a reduced level.
For more information, see MathJobs https://www.mathjobs.org/jobs/jobs/15345
We would like to draw your attention to a special issue on
“Computational algebraic topology and neural networks in computer
vision” in the journal “MDPI Mathematics”(JCR Q1) that we (Matthias
Zeppelzuer and Rocio González-Díaz) are co-editing. This special issue
collects papers with the aim of developing novel topology-based
approaches for computer vision and/or applying topology-based
improve the current state-of-the-art in machine learning and computer vision.
Of special interest are papers that address the challenge of
integrating topology as the main tool in neural networks to computer
The deadline is June 20, 2020. The journal is open access. We will
invite the five best papers submitted and reviewed without charge.
Looking forward to your submission. If you have any questions, do not
hesitate to contact us.
The guest co-editors,
There is a vacancy for a PhD position in machine learning at the Department of Informatics. The fellowship will be for a period of 3 years, with the possibility for a 4th year, consisting of 25 % compulsory work (e.g. teaching responsibilities at the department) distributed across the employment period. The 4th year is contingent on the qualifications of the candidate and the teaching needs of the department, and will be decided upon appointment.
Machine learning is a special focus area of our department and we are in the process of strengthening the machine learning group. This position is part of this ongoing expansion. The University of Bergen recently founded the Center for Data Science (CEDAS) as an important extension of research and education activities within data science.
The successful candidate will work towards receiving a PhD degree in machine learning within the end of the employment period. The PhD student will be associated with CEDAS. The thesis topic will be in one of the areas of expertise of the faculty members of the machine learning group. Currently, this includes topological data analysis, probabilistic graphical models and Bayesian inference.
The application deadline is on January 12th 2020. For more information on the position and how to apply, please visit Jobbnorge (https://www.jobbnorge.no/en/available-jobs/job/179110/phd-position-in-machine-learning).
Heather Harrington writes:
We have two postdoc positions in Oxford at the centre for topological data analysis:
1 Topological data analysis and modelling of cancer and immune dynamics for patient stratification (Heather Harrington, Helen Byrne, Philip Maini, Eamonn Gaffney, Xin Liu, Mark Middleton)
2 Topological analysis of maritime data (Vidit Nanda and Primoz Skraba (QMUL), with Heather Harrington, Ulrike Tillmann, Michael Farber)
Please circulate.Closing deadline is 18 December. These are 1-2 year positions.