The Mathematics Department at The University of Tennessee, Knoxville seeks exceptional candidates to fill a Tenure-Track Assistant Professor position in the area of Statistics and Topological Data Analysis, starting August 1, 2020. A PhD or equivalent degree in mathematics or statistics is required. Postdoctoral experience is preferred. Primary consideration will be given to candidates whose interests overlap with those of existing faculty, including Bayesian statistics, computational statistics, statistical learning, and topological data analysis.
Evidence of potential for excellence in research and high-quality teaching is required. Applications will be accepted until the position is filled. To guarantee full consideration the application should be received by November 1, 2019. The Knoxville campus of the University of Tennessee is seeking candidates who have the ability to contribute in meaningful ways to the diversity and intercultural goals of the University.
The University of Tennessee at Knoxville is the flagship university in the Tennessee state higher education system. The state of Tennessee is in strong fiscal condition. For nine consecutive years, the State and/or the University have provided funds for raises, and starting salaries for assistant professors in the Mathematics Department are very competitive. The Mathematics Department is a highly active group whose research has been supported by several funding agencies, including AFOSR, ARO, ARL, DOE, NSF, and NIH. Opportunities exist to collaborate with researchers at Oak Ridge National Laboratory (ORNL), and faculty at the Bredesen Center in Data Science and Engineering, and the National Institute for Mathematical and Biological Synthesis (NIMBioS). Knoxville is a vibrant and diverse medium-sized city in the Tennessee Valley of East Tennessee with a relatively low cost of living.
Candidates must apply via MathJobs.org, and upload a curriculum vitae, description of research accomplishments and plans, teaching statement, and publication list. At least three reference letters addressing research and one addressing teaching must be provided. Applicants are strongly encouraged to include a cover letter that specifically addresses the reasons for their interest in this particular position at the University of Tennessee.
The Department of Mathematics at Northeastern University invites applications for a tenured/tenure-track position at the Assistant, Associate, or Full Professor level in Mathematics to start as early as Fall of 2020.
Appointments will be based on exceptional research contributions in Mathematics combined with a strong commitment and demonstrated success in teaching.
The focus of this search is on Discrete and Computational Mathematics, Probability and Statistics, Random Structures, Graphs, Networks, and Topological Data Analysis. Outstanding candidates in these or synergetic areas are encouraged to apply and will be seriously considered.
Candidates must have a Ph.D. in Mathematics or a related field by the start date, strong record of research, and demonstrated evidence of excellent teaching ability. Qualified candidates should be committed to fostering diverse and inclusive environments as well as to promoting experiential learning, which are central to a Northeastern University education.
Responsibilities will include teaching undergraduate and graduate courses, mentoring students and conducting an independent research program.
Review of applications will begin immediately. Complete applications received by October 15, 2019 will be guaranteed full consideration. Additional applications will be considered until the position is filled.
To apply, please submit the documentation requested on the mathjobs.org web site. Applicants invited to interviews will be asked to complete a Northeastern University application on the appropriate website.
The Nonlinear Algebra Group at MPI Leipzig welcomes applications by outstanding candidates for its postdoctoral fellows program. See
Early applications are encouraged. Files are reviewed as they arrive. Selected applicants will be e-interviewed in November and December.
Positions are available in Michael Joswig’s group for Mathematical Software, as well as in a range of areas including Algebraic Statistics, Applied Algebraic Geometry, Mathematics of Data, Discrete Random Geometry and Mathematical Machine Learning.
The Centre for Geometry, Topology, and Application is currently advertising a three year postdoctoral position to work on a new, exciting project where topological data analysis will be used in combination with experimental physics and mathematical modelling to design, fabricate, evaluate and improve novel nanomaterials. The project offers an excellent opportunity to expand the current topological methodology both in its theoretical foundations and its range of applications.
The position is available from 1st October, and there is a degree of flexibility regarding the starting date. For details of the position and how to apply please see
I will be happy to answer any queries regarding the position. The deadline for applications is 13 August.
Two NSF/NIH funded postdoc positions are available in the following fields:
-Computational or applied topology/geometry/graph/algebra
-Machine learning/deep learning
-AI-based drug design and discovery
Ideal candidates should have experience in code development, have demonstrated the potential for excellence in research, and hold a recent Ph.D. degree in either mathematics, computer science, computational biophysics, computational chemistry, or bioinformatics. The selected candidates will be teamed up with top performers in recent D3R Grand Challenges, a worldwide competition series in computer-aided drug design. Salary depends on experience but will be at least $47.5k. The positions enjoy standard faculty health benefit. Please send CV to firstname.lastname@example.org.
2019 Union College Math Conference to be held in Schenectady, NY on the dates Friday Sept 13 – Sunday Sept 15. There will be parallel sessions in: Differential Geometry, Geometric Analysis, and Mathematical Physics; Applied Topology; History of Mathematics; and Number Theory. The plenary speakers are:
Robert Ghrist (University of Pennsylvania)
Carolyn Gordon (Dartmouth College)
Álvaro Lozano-Robledo (University of Connecticut)
John McCleary (Vassar College)
The website for the conference can be found here: http://bit.ly/UCMC2019
Registration is currently open, and the (first) deadline for abstract submission is July 19.
Dr. Juan Ramirez wants to pass on a call for research papers to the 2019 IEEE International Conference on Machine Learning and Applications. He is the special session chair for a session called ” Topological Data Analysis in Machine Learning”. Below is a link of the special session solicitation. Conference papers for this session are due September 7th 2019 and carry a maximum page number of 8 pages. (https://www.icmla-conference.org/icmla19/SS_TopologicalDataAnalysis.pdf)
Research Fellowship in Topological Complexity of Neural Networks
We are currently advertising a one-year postdoctoral position to start on 1st September which will be based within the School of Mathematical Sciences. This project is supported by the Alan Turing Institute and the University of Southampton, and is devoted to the study of foundational questions regarding the quantification of the complexity of neural networks.
The successful candidate will work in a thriving interdisciplinary research group at Southampton and will have access to the Alan Turing Institute. The details of the position, requirements, and application procedure are given on jobs.soton.ac.uk, with the reference number 1153919PJ. Jacek Brodzki <J.Brodzki@soton.ac.uk> would be happy to answer any questions regarding the post. The deadline for applications is 24 July.
Primoz Skraba writes:
Announcing a persistent homology layer for PyTorch. The layer takes in either a simplicial complex or a point cloud, computes the persistence diagram and given an energy function automatically backpropogates. This allows for simple integration with other PyTorch modules as well as continuous optimization over persistence diagrams. Our goal is to make experimentation combining topology and deep networks easier and more accessible.
The module along with installation instructions and several examples can be found at https://github.com/bruel-gabrielsson/TopologyLayer
The companion paper describing the examples can be found at https://arxiv.org/abs/1905.12200