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Call for application PhD in Economics Ca' Foscari University a.y. 2022-26 - spread the news
by Antonella Basso 12 Apr '22

12 Apr '22

Dear Colleague, I would be grateful if you could bring to the attention of your best students the new edition 2022-2026 of the PhD Program in Economics offered by the Ca' Foscari University of Venice. The PhD program has a duration of four years and 7 positions are available for the next cohort starting in September '22. Six of them come with a scholarship (around 15,300 € per year), one is reserved for non-Italian applicants holding an equivalent scholarship covering four years. The deadline for application is *May 2nd 2022*, *13h00 (Italian time)*. The PhD Program in Economics aims at training selected students for a career as economists in academic institutions or in research departments of national and international organizations, public institutions, private corporations, central banks, financial institutions. The considerable diversification of research areas covered by the members of the Department of Economics and their international reputation provide an excellent environment where students of most fields in economics can find guidance to develop their research projects for their doctoral studies. A presentation of the PhD programme is organised on Zoom on April 20th at 16.00. Please register here: http://phdeconomics2022.eventbrite.it Requirements and how to apply: https://www.unive.it/pag/43334/ Information on the PhD in Economics: http://www.unive.it/phdeconomics Herewith a link to our INOMICS advertisement: https://inomics.com/program/4-year-phd-in-economics-1447778 Any questions on the program may be addressed to the PhD Secretariat at: sse(a)unive.it Thank you for your attention. Best regards, Antonella Basso -- Antonella Basso Dipartimento di Economia Università Ca' Foscari Venezia Fondamenta S. Giobbe - Cannaregio 873 30121 Venezia - Italy Tel. +39-041-2346914 E-mail address:basso@unive.it Web page:http://www.unive.it/data/persone/5591751

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6 PhD scholarships in Statistical Sciences – University of Padova, Italy – Deadline May 13, 2022 - 13:00 (CEST)
by Susi Ceron 12 Apr '22

12 Apr '22

Six PhD scholarships funded by the University of Padova are available at University of Padova for candidates interested in the area of *Statistical Sciences (start of activities: October 1st, 2022).* *Eligibility* The scholarship competition is open to applicants of any age or citizenship, holding a 2nd cycle degree or a single cycle degree from an Italian university or an equivalent qualification from other countries of at least four years’ duration (applicants can get their qualification no later than 30th September 2022). Admission is decided on the basis of qualifications and an interview. *Grant awarded* The annual grant will be of euros **16,243.00* *(gross amount). The grant will be awarded for three years and it will be subject to satisfactory progresses evaluated on a yearly basis. *How to apply* The call is published *(deadline May 13, 2022 - 1 pm CEST) *at the page _http://www.unipd.it/ricerca/dottorati-di-ricerca/bandi-e-graduatorie _ English version at the page _http://www.unipd.it/en/node/1053_ Please note that the curriculum has to be written by filling the template *CV_XXXVIII* available from the Course web page _http://www.stat.unipd.it/ricerca/ammissione_ and uploading the filled template in the online procedure. *Applications are only accepted online using the link indicated in the call.* For more information about the Statistical Sciences PhD program see _https://www.stat.unipd.it/ricerca/dottorato-di-ricerca_ For more information about admission see _http://www.stat.unipd.it/ricerca/ammissione_ or contact _phd(a)stat.unipd.it_ Kindest regards, PhD Secretariat on behalf of prof. Nicola Sartori Coordinator of the PhD Course in Statistics University of Padova - Italy *We apologize for cross posting * -- Phd in Statistics University of Padova - Italy tel +39 049 8274167 fax +39 049 8271524 dottorato(a)stat.unipd.it

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International Workshop "Random Fields and Their Applaications", April 14-15, 2022, Kyiv, Ukraine
by Alessia Caponera 12 Apr '22

12 Apr '22

Dear Colleagues, We would like to announce the forthcoming International Workshop «Random Fields and Their Applications», dedicated to the memory of the prominent Ukrainian mathematician Professor Mykhailo Yadrenko, on occasion on his 90th anniversary. Invited speakers from around the world will present the latest achievements in the theory of random fields, that is the area of research ideas of Professor Mykhailo Yadrenko. Scientific talks are scheduled for April 14 from 12:00 to 19:00 Kyiv time. The informal meeting of colleagues, descendants, former students of Mykhailo Yadrenko (and anyone who would like to share thoughts and memories) is scheduled for April 15 from 15:00 to 17:00 Kyiv time. The workshop will be conducted virtually via Zoom meeting. You can find the program and the Zoom link here: https://probability.knu.ua/randomfields2022/program.html Best wishes, Alessia Caponera

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Master in FINANCE, INSURANCE, and RISK MANAGEMENT (#MaFIRM) - Collegio Carlo Alberto & University of Turin
by Tiziano De Angelis 11 Apr '22

11 Apr '22

Dear All, I would be grateful if you could please pass the advert below to interested students. Best wishes Tiziano --------------------------------------------- The Master in FINANCE, INSURANCE, and RISK MANAGEMENT (#MaFIRM <https://www.linkedin.com/feed/hashtag/?keywords=mafirm&highlightedUpdateUrn…>), issued by Collegio Carlo Alberto & University of Turin, is organizing its 25th Edition. Mafirm is a full-time II-level Master for highly-skilled occupations requiring a quantitative finance and fintech background. The program is listed in the Risk.net <https://www.linkedin.com/company/risk-net/> "World’s Leading Quantitative Finance Master Programmes" (1st in Italy, 6th in Europe, 20th worldwide). Applications for the 2022-23 edition starting in September are now open! Applicants should hold a 3+2 Master (or a 4-year B.Sc./B.A.) in Economics, Finance, Mathematics, Engineering, Physics, Banking, Statistics, Data Science, and Computer Science. A number of merit-based full and partial scholarships (i.e., tuition fee waivers) are available. How to apply & details about the program and placement: https://www.carloalberto.org/education/master-in-finance/ For any questions, please contact roberto.marfe(a)unito.it

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3rd Spring Colloquium on Probability and Finance - Padova - 28-29 April 2022
by Claudio Fontana 11 Apr '22

11 Apr '22

Dear all, We are glad to announce the 3rd edition of the Spring Colloquium on Probability and Finance, held at the University of Padova, on 28-29 April 2022. The Colloquium will bring together researchers in stochastic analysis and mathematical finance, featuring invited plenary talks by leading scholars in the field as well as rising talents. This edition of the Colloquium is dedicated to Professor Wolfgang J. Runggaldier, on the occasion of his 80th birthday. Several talks will highlight recent advances on topics on which Wolfgang made fundamental contributions over the course of his intense career. Website: https://events.math.unipd.it/SpringColloquium3 <https://events.math.unipd.it/SpringColloquium3> Format: the Colloquium will be in a hybrid mode. Most of the invited speakers will be present in Padova and the conference room can accommodate a certain number of attendees (on a first-come first-served basis, depending on the order of registration). However, the Colloquium can also be attended online via Zoom. Detailed informations on the Zoom link and password will be sent to registered participants in due time. Registration: attendance is free but registration is required (on the conference website). When registering to the conference, please specify if you intend to attend the Colloquium in presence or remotely. For our convenience, we kindly ask to people that already register to the Colloquium to redo their registration, specifying the format of participation. Many thanks for your collaboration. We kindly ask you to register before April 18. Invited plenary speakers: Claudia CECI (University of Chieti-Pescara, IT) Christa CUCHIERO (University of Vienna, AT) Paolo DAI PRA (University of Verona, IT) Rüdiger FREY (Vienna University of Economics and Business, AT) Zorana GRBAC (University of Paris, FR) Monique JEANBLANC (University of Evry Val d'Essonne, FR) Yuri KABANOV (University of Besançon, FR) Andrea PASCUCCI (University of Bologna, IT) Eckhard PLATEN (University of Technology Sydney, AU) Thorsten SCHMIDT (University of Freiburg, DE) Martin SCHWEIZER (ETH Zurich, CH) Invited junior speakers: Matteo BRACHETTA (Politecnico di Milano, IT) Alessandro CALVIA (LUISS University, IT) Alekos CECCHIN (University of Padova, IT) Sara SVALUTO-FERRO (University of Verona, IT) We hope to see you in Padova! Best wishes, Giorgia Callegaro and Claudio Fontana

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[Polimi - Call for Interest Assegno di Ricerca]
by Daniele Marazzina 09 Apr '22

09 Apr '22

Con preghiera di diffusione fra le persone che potrebbero essere interessate. Grazie mille Daniele Marazzina >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> Il Qfinlab, gruppo di Finanza Quantitativa del Dipartimento di Matematica del Politecnico di Milano, è alla ricerca di una persona interessata a collaborare su temi ESG (principalmente) e di Educazione Finanziaria (in misura minore). La collaborazione sarà strutturata tramite un assegno di ricerca. Riguardo la tematica ESG, l'assegnista sarà chiamato a collaborare alla creazione di un database e alla sua gestione, oltre ad analisi statistiche ed economiche ai fini di pubblicazioni scientifiche. Riguardo la tematica Educazione Finanziaria, l'assegnista sarà chiamato a collaborare col gruppo nelle attività di educazione finanziarie per le scuole e gli adulti, oltre all'analisi di impatto di queste, ai fini di ricerca. L'assegno sarà della durata di un anno. E' richiesta una laurea magistrale, preferibilmente in economia, matematica, o ingegneria, o facoltà equivalenti. Gli interessati possono inviare il loro CV a qfinlab(a)polimi.it<mailto:qfinlab@polimi.it>. Seguirà poi bando competitivo per l'assegno di ricerca. Cordiali saluti Daniele Marazzina per il Team Qfinlab

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[Polimi - Call for Interest Assegno di Ricerca]
by Daniele Marazzina 09 Apr '22

09 Apr '22

Con preghiera di diffusione fra le persone che potrebbero essere interessate. Grazie mille Daniele Marazzina >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> Il Qfinlab, gruppo di Finanza Quantitativa del Dipartimento di Matematica del Politecnico di Milano, è alla ricerca di una persona interessata a collaborare su temi ESG (principalmente) e di Educazione Finanziaria (in misura minore). La collaborazione sarà strutturata tramite un assegno di ricerca. Riguardo la tematica ESG, l'assegnista sarà chiamato a collaborare alla creazione di un database e alla sua gestione, oltre ad analisi statistiche ed economiche ai fini di pubblicazioni scientifiche. Riguardo la tematica Educazione Finanziaria, l'assegnista sarà chiamato a collaborare col gruppo nelle attività di educazione finanziarie per le scuole e gli adulti, oltre all'analisi di impatto di queste, ai fini di ricerca. L'assegno sarà della durata di un anno. E' richiesta una laurea magistrale, preferibilmente in economia, matematica, o ingegneria, o facoltà equivalenti. Gli interessati possono inviare il loro CV a qfinlab(a)polimi.it. Seguirà poi bando competitivo per l'assegno di ricerca. Cordiali saluti Daniele Marazzina per il Team Qfinlab

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Master Mathématiques et Apprentissage Statistique all'Università di Versailles
by Cecilia Mancini 09 Apr '22

09 Apr '22

Inoltro questa informazione su un nuovo Master che partirà il prossimo Settembre all’Université Versailles Saint Quentin<http://www.uvsq.fr/>. A chi fosse interessato posso mandare i flyers sotto menzionati Saluti, Cecilia Da: Ester Mariucci <ester.mariucci(a)uvsq.fr> stiamo aprendo un nuovo Master (M1+M2) a Versailles. Si chiama Mathématiques et Apprentissage Statistique, Math&AS. Fa parte della Graduate School dell’Università Paris-Saclay ed é un “Master Recherche ouvert à l’entreprise”. Per essere chiari : é teorico ma non tanto quanto i master di Orsay, permette di andare subito a lavorare ma non é un master in alternance. Durante l’M1 i corsi sono teorici - ma comunque globalmente più di statistica applicata che matematica - (statistica matematica, machine Learning, modelli lineari, ottimizzazione, analisi dei dati, etc…) e c’é un po’ di informatica. Il secondo anno ci saranno dei corsi fatti da data scientists, e poi vari corsi avanzati sempre di machine learning e statistica. L’insegnamento é in francese, ci sono 2 stages di sei mesi ciascuno, uno per anno (quindi bisogna davvero parlare bene francese). Dato che la formazione debutta a Settembre cerco di diffondere la notizia il più possibile…non si sa mai che tu conosca studenti francofoni (o che se la cavano sufficientemente bene) potenzialmente interessati! Ti allego i flyers che abbiamo fatto per l’UVSQ e per Saclay con le informazioni sui programmi. Ci sono borse (anche per stranieri) : https://www.universite-paris-saclay.fr/admission/bourses-et-aides-financier…; https://www.fondation-hadamard.fr/fr/master-bourses-de-master/master-401-ap… e le candidature per iscriversi al master sono tra il 15 marzo e il 15 maggio. Sto ancora aspettando che il sito ufficiale di Saclay sia visibile, qui ci sono alcune informazioni : http://www.departement.math.uvsq.fr/masterMathAS Un caro saluto, Ester

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seminar: "Random structures and patterns in spatio-temporal data: probabilistic modelling and statistical inference", Radu Stoica, 12 April
by Umberto Picchini 09 Apr '22

09 Apr '22

You are welcome to the next Statistics seminar at Dept of Mathematical Sciences at Chalmers and Göteborg University, Sweden. On Tuesday April 12, Radu Stoica <https://sites.google.com/site/radustefanstoica/> will talk of: ///"Random structures and patterns in spatio-temporal data: probabilistic modelling and statistical inference"/ / / //*About the speaker: *Radu Stoica <https://sites.google.com/site/radustefanstoica/> is professor at Université de Lorraine, France. He is interested in probabilistic modeling and statistical inference for the analysis of spatio-temporal data // //* * *Abstract:* The useful information carried by spatio-temporal data is often outlined by geometric structures and patterns. Filaments or clusters induced by galaxy positions in our Universe are such an example. Two situations are to be considered. First, the pattern of interest is hidden in the data set, hence the pattern should be detected. Second, the structure to be studied is observed, so relevant characterization of it should be done. Probabilistic modelling is one of the approaches that allows to furnish answers to these questions. This is done by developing unitary methodologies embracing simultaneously three directions: modelling, simulation and inference. This talk presents the use of marked point processes applied to the detection and to the characterization of such structures. Practical examples are also shown.* * *Feel free to spread this announcement in your network.* * * *Where*: room MVL14 or https://chalmers.zoom.us/j/64160866575 Password: 024139 ** **** *When*: Tuesday 12 April at 14.30-15.30*(Stockholm time)*. ** -- _________________________________________________________ Umberto Picchini, Associate Professor, PhD, Docent https://umbertopicchini.github.io/ , twitter: @uPicchini

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International conference “Statistical Methods and Models for Complex Data" - SAVE THE DATE!
by Alessandra Fabbri Colabich 07 Apr '22

07 Apr '22

*On behalf of the Director of the Department of Statistical Sciences of the University of Padua:* SAVE THE DATE! *International conference “Statistical Methods and Models for Complex Data”* , *21-23 September 2022, Padova, Italy* The Department of Statistical Sciences of the University of Padova is organizing the international conference: “Statistical Methods and Models for Complex Data”. The conference will be held in Padova, Italy on 21-23 September 2022. The event is organized on the occasion of the 800th anniversary of the University of Padua and the last year of the excellence project of our department. The scientific program will include plenary sessions, with 45 minutes invited presentations from internationally recognized experts, followed by 25 minutes for interventions of two main discussants and informal moments of discussion and interaction between the participants. Participation of senior and young scientists involved in the developments of statistical methods and tools for complex data is strongly encouraged. The scientific program of the conference is available on the website *http://800years.stat.unipd.it <http://800years.stat.unipd.it>*. For further information, please contact: 800years(a)stat.unipd.it

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