BMS Dirichlet Postdocs 2026
The BMS Dirichlet Postdoctoral Program offers two-year positions for early-career researchers from around the world working in all fields of mathematics. MATH+ and the BMS support these researchers in their development as independent scientists, helping them advance their careers and gain international visibility.
We are delighted to announce that three new Dirichlet Postdoctoral Fellows have recently started their appointments in Berlin. We warmly welcome Hefin Lambley, Eliseo Luongo, and Pardis Semnani to the MATH+ and BMS community and wish them all the best during their two-year research appointments at Freie Universität (Hefin) and Technische Universität Berlin (Eliseo and Pardis).
As Dirichlet Postdoctoral Fellows, Hefin, Eliseo, and Pardis will have the freedom to pursue their own research interests while benefiting from Berlin’s vibrant mathematical research community, where they can engage with the latest developments in their respective fields. They will receive support in building national and international research networks and exchanging ideas with researchers from related and complementary fields. In addition, the fellows have numerous opportunities to develop their teaching, supervision, and mentoring skills within the framework of MATH+ and the BMS.
Hefin Lambley @ FU Berlin
Hefin Lambley obtained a Master of Mathematics (MMath) in 2022 and a PhD in Mathematics in 2026 from the University of Warwick (UK). His doctoral thesis, titled “Modes of probability measures with applications to nonparametric inference,” was supervised by Tim Sullivan and studied the mathematical foundations of point-estimation methods in applied mathematics and nonparametric statistics.
During his PhD, Lambley also worked on machine-learning methods for functional data in collaboration with the groups of Mark Girolami at the University of Cambridge and Andrew Stuart at the California Institute of Technology. These methods use techniques from functional analysis and measure theory to operate across different resolutions by viewing data as discrete representations of the underlying functions.
In Berlin, during his time at the Berlin Mathematical School and MATH+, he looks forward to further developing his research on the mathematical foundations of learning and inference in collaboration with Claudia Schillings’s research group, “Numerical Mathematics of Deterministic and Stochastic Partial Differential Equations.”
Speaking about his plans, he said: “I’m excited to be part of the BMS and MATH+ as a Dirichlet Postdoctoral Fellow. The mathematical environment in Berlin is outstanding, and I’m very much looking forward to making the most of it during my time here.”
For more information, visit Hefin Lambley’s website.
Pardis Semnani @ TU Berlin:
Pardis Semnani received her Bachelor of Science in Mathematics from Isfahan University of Technology in Iran. She then moved to Canada to pursue her Master of Science and PhD degrees in Mathematics at the University of British Columbia, under the supervision of Elina Robeva. From May 2024 until her graduation in August 2026, she was also a Vanier Scholar. Her PhD dissertation is titled “Causal Discovery and Density Estimation: From Algebra to Stochastics.”
Since October 2026, Pardis has been a BMS Dirichlet Postdoctoral Fellow, hosted by Carlos Améndola in the “Algebraic and Geometric Methods in Data Analysis” group. Her research lies at the intersection of statistical inference, applied algebraic geometry, combinatorics, and algebraic statistics. She explores causal discovery in both temporal and non-temporal settings and studies parametric and non-parametric density estimation problems under various structural constraints. Alongside more conventional tools, she draws on algebraic geometry, multilinear and nonlinear algebra, and rough path theory to approach these problems.
Commenting on her following years in Berlin and at the BMS, she said: “I am really excited about the opportunity to work with Carlos Améndola’s group, engage with the wider MATH+ and BMS community, and further develop my research agenda. I also look forward to exploring Berlin and discovering more of Germany and Europe!”
For more information, visit Pardis Semnani’s website.
Eliseo Luongo @ TU Berlin
Eliseo Luongo obtained his Bachelor’s and Master’s degrees in Mathematical Engineering from Politecnico di Milano before completing a PhD in Mathematics at Scuola Normale Superiore in Pisa under the supervision of Franco Flandoli. Over the past two years, he has been a postdoctoral researcher at Bielefeld University.
His research focuses on stochastic partial differential equations and nonlinear PDEs, particularly those arising in fluid mechanics and transport theory. A central theme of his work is the interplay between randomness, dissipation, and well-posedness. He studies how stochastic perturbations can regularize dynamics or select solutions in singular regimes, as well as how instability mechanisms can lead to non-uniqueness in supercritical PDEs.
As a Dirichlet Postdoctoral Fellow, he will join Benjamin Gess’s group “Stochastic Analysis in the Sciences” at TU Berlin. His research in Berlin will focus on mathematical questions arising from turbulent fluid dynamics, exploring, in particular, how randomness can capture and influence complex fluid behavior.
Looking forward to his research stay, he shared: “I hope that my time in Berlin will deepen my understanding of turbulent fluids and how stochasticity can be used to model their behavior. I am particularly looking forward to building strong scientific relationships within the MATH+ and BMS community and the broader Berlin SPDE community that will continue throughout my career.”
For more information, visit Eliseo Luongo’s website.