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(1+1)-year post-doc position in mathematical finance at UniPD
by Claudio Fontana 24 Sep '20

24 Sep '20

1+1 year post-doc position at the University of Padova (Italy) A one-year postdoctoral position is available at the Department of Mathematics of the University of Padova (Italy), with the possibility of renewal for a second year. The position is funded by the STARS@UniPD project PRISMA, directed by Claudio Fontana (personal webpage: https://sites.google.com/site/fontanaclaud <https://sites.google.com/site/fontanaclaud>). The PRISMA project is focused on the development of stochastic methods for the modelling of information in finance and insurance, and related research directions in probability and finance. We are looking for a highly motivated candidate with a solid background in stochastic analysis and mathematical finance. A PhD degree in these fields is a necessary requirement. Previous research experience in arbitrage theory, stochastic filtering, enlargement of filtrations, mean-field games, or interest rate modelling will be especially appreciated. The candidate should have the ability to drive discovery by working independently, interacting with colleagues with different backgrounds and establishing relevant collaborations. Knowledge of the Italian language does not represent a requirement and language classes are offered by the University of Padova. We offer excellent working conditions and a stimulating research environment. Salary is fixed at a top level for a post-doctoral position at the University of Padova, corresponding to about 2100 euros/month (net). Generous financial support is available for participation to conferences and workshops, research visits and collaborations. The selected candidate will not have mandatory teaching duties, but will have the possibility of teaching. The Probability and Finance group (https://www.math.unipd.it/en/research/research-areas/mathematics/probability <https://www.math.unipd.it/en/research/research-areas/mathematics/probability>) at the University of Padova is a dynamic research unit, with a strong international visibility and well-established connections with foreign institutions and world leaders in the field of mathematical finance. The University of Padova provides excellent support to foreign candidates. Padova is a beautiful city in the Venetian region, home to one of the oldest universities in the world, with a thriving student life and an excellent quality of life. The official call and instructions for application are available at https://www.math.unipd.it/news/bando-assegno-di-ricerca-metodi-stocastici-p… <https://www.math.unipd.it/news/bando-assegno-di-ricerca-metodi-stocastici-p…> To be considered, the application package (including reference letters) has to arrive before October 14, 2020, at 1pm CET. The position is expected to start as soon as possible, and not later than in January 2021. For any further information on this position, please contact Claudio Fontana at fontana(a)math.unipd.it <mailto:fontana@math.unipd.it> Best regards (and apologies for cross-posting), Claudio Fontana

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Postdoc position at the University of Oslo, Norway
by Valeria Vitelli 24 Sep '20

24 Sep '20

Dear colleagues, below the announcement of a postdoc position in Bayesian Statistics at the Oslo Center for Biostatistics and Epidemiology, University of Oslo, Norway. Hope it will be of interest. all the best, Valeria Vitelli --------------------------------------------------------------------------------------------------------- *A three-years postdoc position in Biostatistics is offered at the Oslo Center for Biostatistics and Epidemiology (OCBE), University of Oslo (UiO), Norway. * *Deadline for submission: 30th November 2020IMPORTANT! Deadline for contacting the UiO host: 30th October 2020* Project: Scalable inference for genomic data integration Summary: The project focuses on scalable statistical methods for the integration and analysis of multi-omic data sources. We plan development of horizontal (multi-omic) and vertical (meta-analytic) integrative Bayesian clustering methods during the project course with intended application to disease subtyping and signature/biomarker discovery. *Call, detailed **information and how to apply:* (the call is under the thematic area in "biostatistics") https://www.med.uio.no/english/research/scientia-fellows/apply/ *SCIENTIA FELLOWS* is a transnational research fellowship programme in the field of Health Life Sciences at UiO, funded by the EU Horizon 2020 under the Maria Skłodowska-Curie scheme. The purpose of the three years postdoc is to produce scientific results of the highest quality, in collaboration with your host at UiO and its other partners. You will also be part of UiO's career development programme designed for researchers at the beginning of their career, including our Health Innovator course which aims to provide researchers with tools and insight into how innovation can be put to work for the benefit of patients, the healthcare system and society. At completion of your three year term, your academic profile will be such that you can successfully apply to the best research positions worldwide. *UiO Hosts: *Valeria Vitelli ( https://www.med.uio.no/imb/english/people/aca/valeriv/) and David Swanson ( https://sojourningnorth.github.io/) *If you are interested in the position, please contact the UiO hosts by sending CV and links to your papers as early as possible and before October 30th, 2020.* You and your hosts will identify common research interests and discuss the concept of your research proposal. While you are responsible for the research proposal, you will discuss your application with the hosts, who will help you to write a good proposal. Finally, in order to apply for the position, you have to submit the research proposal (and other documents as specified in the call) by November 30th, 2020. The position will be at the Oslo Center for Biostatistics and Epidemiology (OCBE), UiO (https://www.med.uio.no/imb/english/research/centres/ocbe/) *Eligibility:* - You possess a PhD degree (at the latest by 1 January 2021) in statistics, biostatistics, mathematics, computer science or other related disciplines with a documented competence in statistics, biostatistics or mathematics. - You have not been resident in Norway for more than 12 months in the last 3 years. *Salary: 515 200 NOK/year (roughly 50K EUR/year)* A Fellow of the Scientia Fellows programme will be employed at UiO for three years. The place of work is the UiO campus in Oslo. The gross salary of a Fellow will amount to 515 200 NOK/year. UiO will cover full health insurance and pay towards your pension with the Norwegian pension fund. As an employee in Norway you have several welfare benefits. In addition UiO will support research costs (laptop, travel, courses etc) with 54 600 NOK per year. For further information related to moving and settling in Norway, please visit the website of the International Staff Mobility Office ( https://www.uio.no/english/about/jobs/ismo/) which will also assist incoming fellows and their families with relocation to UiO. For more information, contact the hosts mentioned below. -- Valeria Vitelli Oslo Center for Biostatistics and Epidemiology, Department of Biostatistics, University of Oslo, Norway mailto: valeria.vitelli(a)medisin.uio.no

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Pisa Online Seminar by Tyler Helmuth (Tuesday, Sept. 29 at 14:00)
by Giacomo Filippo Di Gesu 23 Sep '20

23 Sep '20

Dear colleagues, I would like to announce the following online seminar organized by the Probability group of the University of Pisa: Tuesday, Sept. 29, 14:00 on Microsoft Teams (the link will be sent in a forthcoming email) Speaker: Tyler Helmuth Title: Random spanning forests and hyperbolic symmetry Abstract: The arboreal gas is the probability measure that arises from conditioning the random subgraph given by Bernoulli(p) bond percolation to be a spanning forest, i.e., to contain no cycles. This conditioning makes sense on any finite graph G, and in the case p=1/2 gives the uniform measure on spanning forests. The arboreal gas also arises as a q—> 0 limit of the q-state random cluster model. What are the percolative properties of these forests? This turns out to be a surprisingly rich question, and I will discuss what is known and conjectured. I will also describe a tool for studying connection probabilities, the magic formula, which arises due to an important connection between the arboreal gas and spin systems with hyperbolic symmetry. Based on joint work with Roland Bauerschmidt, Nick Crawford, and Andrew Swan. Best regards, Giacomo _____________________ Giacomo Di Gesù Dipartimento di Matematica Università di Pisa Largo Bruno Pontecorvo 5 56127 - Pisa, Italy giacomo.digesu(a)unipi.it

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Webinar Passeggeri @Bocconi
by Giacomo Zanella 22 Sep '20

22 Sep '20

We announce the following DEC Statistics webinar: Date: Thursday, September 24, h12:00 Speaker: Riccardo Passeggeri (Sorbonne University) Title: On a class of completely random measures (CRMs) and its role in Bayesian analysis. The seminar will be mixed online and in-presence: - anybody can attend the seminar at the following link: https://zoom.us/j/92000724531 - members of Bocconi University can attend the meeting in presence at Roentgen building, floor -1, room AS-02, subject to appropriate prevention measures such as social distancing. Abstract: Quasi-infinitely divisible (QID) distributions have been recently introduced by Lindner, Pan and Sato (Trans. Amer. Math. Soc. 370 (2018) 8483-8520). A random variable X is QID if and only if there exist two infinitely divisible (ID) random variables Y and Z s.t. X +Y = Z (in distribution) and Y is independent of X. In this talk, we present QID random measures, describe their properties and their role in Bayesian analysis. In particular, we show that QID random measures are dense in the space of all CRMs with respect to convergence in distribution. In other words, *any CRM can be approximated in distribution by a QID random measure*. Moreover, we demonstrate that there exists a one to one correspondence between the law of QID random measures and certain characteristic pairs (as it happens for the Poisson point processes). That is, *the characteristic function of a QID random measure has an explicit formulation written in terms of two (unique) deterministic objects*. Finally, we present a nonparametric Bayesian statistical framework based on QID random measures, which extends recent works of Michael Jordan, Tamara Broderick, Trevor Campbell and co-authors. Kind regards, Giacomo Zanella

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Online seminar Eddie Nikolova
by Marco Scarsini 20 Sep '20

20 Sep '20

Thursday 24 September, h 17:00 *Evdokia Nikolova, *University of Texas at Austin Risk-aversion and diversity in network routing <http://mailsender.luiss.it/lists/lt.php?id=cRpRCgUDSAUBBwBOVgFdBQs> Discussants: Valerio Dose and Marc Schröder Luiss | Viale Romania, 32 | Virtual Room* 70 This is the link to access the virtual room: https://luiss.webex.com/luiss/j.php?MTID=mcf4af3f6b4da7e8a19cf1fb052a70517 Information about future seminars can be found here https://economiaefinanza.luiss.it/seminari/prossimi-seminari ******************************************************* Marco Scarsini Dipartimento di Economia e Finanza Luiss Viale Romania 32 00197 Roma, ITALY URL: http://docenti.luiss.it/scarsini/

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Call for interest - Assegno di ricerca @ Polimi
by Daniele Marazzina 17 Sep '20

17 Sep '20

Con preghiera di diffusione. Grazie mille -------------------------------------------------- Il Qfinlab, laboratorio di finanza quantitativa del Dipartimento di Matematica del Politecnico di Milano, in collaborazione con il gruppo di ricerca del Professor Agasisti del Dipartimento di Ingegneria Gestionale, sta valutando la possibilità di bandire un assegno di ricerca della durata di un anno su tematiche relative all'educazione finanziaria, creazione di percorsi per le scuole e analisi di impatto. Eventuali persone interessate possono inviare il loro cv all'indirizzo qfinlab(a)polimi.it<mailto:qfinlab@polimi.it> . Per informazioni sul gruppo, si rimanda a www.qfinlab.polimi.it<http://www.qfinlab.polimi.it/> Cordialmente Daniele Marazzina Emilio Barucci

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Call for interest - Assegno di ricerca @ Polimi
by Daniele Marazzina 17 Sep '20

17 Sep '20

Con preghiera di diffusione. Grazie mille -------------------------------------------------- Il Qfinlab, laboratorio di finanza quantitativa del Dipartimento di Matematica del Politecnico di Milano, in collaborazione con il gruppo di ricerca del Professor Agasisti del Dipartimento di Ingegneria Gestionale, sta valutando la possibilità di bandire un assegno di ricerca della durata di un anno su tematiche relative all'educazione finanziaria, creazione di percorsi per le scuole e analisi di impatto. Eventuali persone interessate possono inviare il loro cv all'indirizzo qfinlab(a)polimi.it . Per informazioni sul gruppo, si rimanda a www.qfinlab.polimi.it Cordialmente Daniele Marazzina Emilio Barucci

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seminar De Palma
by Dario Trevisan 17 Sep '20

17 Sep '20

Dear all, sorry for another message about today's seminar by G. De Palma. I just want to mention that there was an extra bracket in the google meet link. If you want to follow online please use the following link: meet.google.com/sdy-qmac-kch Regards, Dario -- Dario Trevisan, Università degli Studi di Pisa, Dipartimento di Matematica, Largo Bruno Pontecorvo 5, 56127 - Pisa (PI) Italy telephone: (+39) 050 2213832 mobile: (+39) 331 2899761 Skype: dario-trevisan e-mail: dario.trevisan AT unipi.it webpage: http://people.dm.unipi.it/trevisan/

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PhD opportunity at the University of Leipzig
by Giovanni Conforti 16 Sep '20

16 Sep '20

Dear colleagues, Please find below the announcement for two Phd positions in the group of Max von Renesse. Best Regards Giovanni Conforti At the university of Leipzig we have two vacant PhD positions in the stochastic analysis group with a duration of three years under the supervision of Max von Renesse. Possible research directions concern applications of stochastic analysis e.g. in geometry, physics or statistics. Together with the Max Planck Institute for Mathematics in the Sciences (MPI-MIS) and some world class research groups Leipzig offers a lively and stimulating environment for research in a variety of intertwining mathematical disciplines. Each position comes with a teaching load of 2 hrs per week during semesters. The positions are to be filled by October 15th preferably. Some knowledge of basic German is helpful but no must. The ideal candidate (m./f.) has an excellent recent Masters or Diploma degree in mathematics or theoretical physics with a strong background in a combination of at least two of the following fields: stochastic analysis, differential geometry, (stochastic) PDE, optimal transport theory or statistics. Applications should include a CV, transcript of university diplomas and a list of up to three potential contacts for letters of recommendation. Further inquiries and applications should be sent to Prof. Dr. Max von Renesse, renesse(a)uni-leipzig.de. Application deadline is 24 September 2020.

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seminar by De Palma -- change of room
by Dario Trevisan 15 Sep '20

15 Sep '20

Dear colleagues, the previously announced seminar by G. De Palma, to be held on Thursday, September 17, in Pisa, will take place in a larger room (Aula Magna), to safely accommodate more participants (up to 25 people). If you wish to join us in person please write me an email. Regards, Dario %%% Location: Aula Magna, Dipartimento di Matematica, Pisa (due to restrictions to the number of participants, we strongly suggest to attend online) Google Meet Link: meet.google.com/sdy-qmac-kch) Time: September 17, 2020, 2 PM Speaker: Giacomo De Palma (MIT) Title: Adversarial robustness guarantees for random deep neural networks Abstract: The reliability of most deep learning algorithms is fundamentally challenged by the existence of adversarial examples, which are incorrectly classified inputs that are extremely close to a correctly classified input. We study adversarial examples for deep neural networks with random weights and biases and prove that the L^1 distance of any given input from the classification boundary scales at least as sqrt(n), where n is the dimension of the input. We also extend our proof to cover all the L^p norms. Our results constitute a fundamental advance in the study of adversarial examples, and encompass a wide variety of architectures, which include any combination of convolutional or fully connected layers with skipped connections and pooling. We validate our results with experiments on both random deep neural networks and deep neural networks trained on the MNIST and CIFAR10 datasets. Given the results of our experiments on MNIST and CIFAR10, we conjecture that the proof of our adversarial robustness guarantee can be extended to trained deep neural networks. This extension will open the way to a thorough theoretical study of neural network robustness by classifying the relation between network architecture and adversarial distance. -- Dario Trevisan, Università degli Studi di Pisa, Dipartimento di Matematica, Largo Bruno Pontecorvo 5, 56127 - Pisa (PI) Italy telephone: (+39) 050 2213832 mobile: (+39) 331 2899761 Skype: dario-trevisan e-mail: dario.trevisan AT unipi.it webpage: http://people.dm.unipi.it/trevisan/

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