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Senior Lecturer/Reader and Lecturer Positions in Probability and Statistics at Sussex
by Enrico Scalas 15 Apr '16

15 Apr '16

Car* collegh*, vi segnalo i bandi riguardanti due posti di probabilita' e statistica all'Universita' del Sussex: http://www.sussex.ac.uk/aboutus/jobs/741 http://www.sussex.ac.uk/aboutus/jobs/736 http://www.jobs.ac.uk/job/ANL689/lecturer-in-statistics-and-probability/ http://www.jobs.ac.uk/job/ANL687/senior-lecturer-reader-in-statistics-and-p… La scadenza e' il 17 maggio. Cordiali saluti, Enrico Scalas

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post doc position in Florence "Instability forecasters for the financial markets", deadline 2 of May
by cecilia mancini 15 Apr '16

15 Apr '16

Dear all, I ask you to forward this news to potentially interested candidates, thank you, best regards, Cecilia my Department in Florence is issuing a post doc position for ONE YEAR (which we expect to be able to renew for another year). The call just appeared at http://www.unifi.it/mod-MDAssRic.html?target=a look for Dipartimento di Scienze per l'Economia e l'Impresa The SUBJECT is: Instability forecasters for the financial markets I am the responsible of the project. Unfortunately my university at moment only issues calls in Italian. The project however is described also in English. If somene interested has problems to understand the call can write me The annual salary is 19'367 Euros (of which a sum of about 7% to 10% will be accrued for pension). DEADLINE: the candidacy has to arrive at the Department by 2 of May at 1 pm. It is possible to send it by pec email, if the candidate has a personal one. An interview will be made to the best candidates on May, the 16th, at my Department in Florence. The research activity will START on June 2016, the 1st. REQUISITES. Master degree in Math or Physics, Engineering, Finance, Economy; at least 2 years of research experience; pertinent curriculum with the project. We ask the candidate has: a good background in mathematical analysis, in the theory of probability and stochastic processes, in econometry; a good ability in manipulating financial data and in creating and implementing routines in matlab (and possibly in C); availability in being present at the Department at least 1-2 days per week

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Mini course in Verona: BSDEs with applications, by Adrian Zalinescu
by Luca di persio 15 Apr '16

15 Apr '16

Mini course announcement Prof. Adrian Zalinescu [ University Al.I.Cuza ] will give a mini course on Backward Stochastic Differential Equations with applications, at the Department of Computer Science, University of Verona, with the following calendar of lessons 26th of April - from 1430 to 1730 27th of April - from 1530 to 1830 28th of April - from 1530 to 1830 5th of May - from 1530 to 1730 6th of May - from 1530 to 1830 All the lessons will take place at the Dept. of Computer Science, Strada le Grazie, 15 - Verona Ca' Vignal 2, first floor , Room M. located here https://goo.gl/maps/Yx2JU The* tentative programme* is the following: 1. BSDEs – general results Existence and Uniqueness of Solutions Comparison Principles Examples of Linear and Nonlinear BSDEs linear BSDEs arising from optimal control applications one-dimensional BSDEs with non-Lipschitz coefficients, especially with quadratic growth generators reflected BSDEs. 2. Markovian BSDEs Forward-backward SDE The nonlinear Feynman-Kac formula Connection with Partial Differential Equations 3. Applications in Mathematical Finance Along the above two theoretical directions which constitute the frame of the course, various applications in mathematical finance and insurance will be given. We mention here a few: Pricing of European and American options, Hedging, Risk-Sensitive Control. Do not hesitate to contact me for further details: luca.dipersio(a)univr.it LuCa __ Luca Di Persio - PhD assistant professor of Probability and Mathematical Finance Dept. Informatics University of Verona strada le Grazie 15 - 37134 Verona - Italy Tel : +39 045 802 7968 Dept. Math University of Trento V. Sommarive, 14 - 38123 Povo - Italy Tel : +39 0461 281686 Mail priva di virus. www.avast.com <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai…>

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Seminario PAOLO DAI PRA @ UniTo
by Federico Polito 14 Apr '16

14 Apr '16

********************************************************************* SEMINARI DI PROBABILITA' E STATISTICA MATEMATICA DIPARTIMENTO DI MATEMATICA "G. PEANO" UNIVERSITA' DEGLI STUDI DI TORINO ********************************************************************* mercoledì 4 Maggio 2016 alle ore 14:30 in Aula Magna presso il Dipartimento di Matematica "G. Peano" dell'Università degli Studi di Torino, Via Carlo Alberto 10, Il Prof. PAOLO DAI PRA (Università degli Studi di Padova) terrà un seminario dal titolo ROUTE TO CONSENSUS AND OSCILLATING BEHAVIOR IN A NETWORK OF CONFORMIST INDIVIDUALS Abstract: Many models have been proposed to describe a group of interacting individuals with a conformist (or non-conformist) attitude. Most of these models are Markovian, possibly with memory. In this talk I outline a model in which every individual forecasts the behavior of the rest of the community, and on this basis optimizes his own strategy. We are interested in the resulting collective behavior, which actually shows features that are not present in classical Markovian models. Tutti gli interessati sono invitati a partecipare. -- Federico Polito Department of Mathematics University of Torino Via Carlo Alberto, 10 10123, Torino, Italy Email: federico.polito(a)unito.it Tel: +39 011 6702937 Web: www.federicopolito.it

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Fwd: Postdoctoral opportunity on applied probability/stochastic modelling at Lancaster University
by Antonio Di Crescenzo 14 Apr '16

14 Apr '16

---------- Forwarded message ---------- From: Glazebrook, Kevin <<mailto:k.glazebrook@lancaster.ac.uk>k.glazebrook(a)lancaster.ac.uk> Dear Friends and Colleagues, I would be enormously grateful if you could bring the postdoctoral opportunity below to the attention of suitable candidates. Many thanks and best wishes, Kevin Glazebrook Ref: A1497 Research Associate in Applied Probability/Stochastic Modelling Department of Management Science, Lancaster University Salary range: £26,537 to £30,738 Closing Date: Tuesday 10 May 2016 Contract: Temporary (three years) Job URL: <https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A1497>https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A1497 Mathematical Models and Algorithms for Allocating Scarce Airport Resources (OR-MASTER) is a Programme Grant funded by the Engineering and Physical Science Research Council, UK (EPSRC) involving Lancaster University and Queen Mary University, London (QMUL). The Programme runs for six years from October 2015, with a total of GBP 2.8million funding. At Lancaster, OR-MASTER will be undertaken by the Centre for Transport and Logistics (CENTRAL) Research (a newly established Research Centre in the Department of Management Science), and will link into existing Operational Research-related development initiatives and expertise such as: the STOR-i Doctoral Training Centre and the Lancaster Data Science Institute. Professor Konstantinos G. Zografos at Lancaster University is the Principal Investigator and overall Programme Director. Professors Kevin Glazebrook (Lancaster) and Edmund Burke (QMUL) are the two Programme Co-Investigators. Professor Burke leads the OR-MASTER Programme at QMUL. The Programme represents a strong partnership between academia, the air transport industry and policy makers. OR-MASTER will involve close collaboration with a host of international organisations that will support the project, providing real-world data, insights and expertise. OR-MASTER will develop new mathematical models and algorithms for solving complex, large-scale airport resource allocation problems. Our ultimate goal is to develop decision support capabilities for airport capacity allocation and management. To achieve our objectives we seek to recruit world-leading post-doctoral researchers (Research Associates) with ambition, potential and determination. OR-MASTER is a highly collaborative Programme. Each Research Associate and PhD student working on the project at Lancaster University will have at least one other 'buddy partner' at the QMUL with whom they will collaborate, supported by visits to the partner site. RAs and PhDs will also have opportunities to visit and collaborate with the industrial and academic organisations affiliated with the project. Research staff will also have opportunities to guide the direction of the research, where appropriate, and to make use of the extensive opportunities for career development and advancement that this large ambitious Programme offers. We are looking for an outstanding applied probabilistic/stochastic modeller to join the OR-MASTER team for a fixed term of three years. You will work under the direction of Professor Kevin Glazebrook to develop and analyse stochastic models to meet the programme's need for optimizing airport declared capacity and for assessing the delays experienced at airports and networks of airports. This work will require both a capacity for theoretical innovation and high level computing skills. The main activities will include:- - Innovative research investigation under the OR-MASTER project - Collaborative activities with OR-MASTER affiliated organisations and participation in project events (e.g. stakeholder workshops) - Preparation of research papers - Preparation and presentation of conference papers - Other duties associated with the OR-MASTER project Informal enquiries to Professor Kevin D. Glazebrook - email <mailto:k.glazebrook@lancaster.ac.uk>k.glazebrook(a)lancaster.ac.uk, tel: +44 (0)1524 592697 and Professor Konstantinos G. Zografos - email: <mailto:k.zografos@lancaster.ac.uk>k.zografos(a)lancaster.ac.uk, tel: +44 (0)1524 592384 We welcome applications from people in all diversity groups. For further information and to apply online please click on the link <https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A1497>https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A1497 Lancaster University - ensuring equality of opportunity and celebrating diversity. -- ------------------------------------- Peter Jacko ------------------------------------- Lecturer in Management Science Department of Management Science Lancaster University Management School Lancaster, LA1 4YX, UK <mailto:p.jacko@lancaster.ac.uk>p.jacko(a)lancaster.ac.uk | +44-15245 94035 | Office B57 <http://scholar.google.com/citations?user=Ym1nWHEAAAAJ>scholar.google.com/citations?user=Ym1nWHEAAAAJ <http://www.lancaster.ac.uk/lums/people/peter-jacko>http://www.lancaster.ac.uk/lums/people/peter-jacko ------------------------------------- --

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Annuncio Seminario - Elena Villa - Tor Vergata
by Valentina Cammarota 13 Apr '16

13 Apr '16

Ciclo di Seminari - Progetto ERC PASCAL (Probabilistic and Statistical Techniques for Cosmological Applications) 21 aprile ore 15:00 Aula D'Antoni Dipartimento di Matematica Università di Roma Tor Vergata Speaker: Elena Villa, Università degli Studi di Milano Title: ASYMPTOTIC RESULTS FOR ESTIMATORS OF THE MEAN DENSITY OF RANDOM CLOSED SETS AND OF THE INTENSITY OF POINT PROCESSES. Tutti gli interessati sono invitati a partecipare. ... Valentina Cammarota Department of Mathematics Universita` degli Studi di Roma Tor Vergata http://www.mat.uniroma2.it/english.php https://sites.google.com/site/valentinacammarota/

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PhD Modelling Week in Verona, September 4-10, 2016
by Luca di persio 12 Apr '16

12 Apr '16

Dear all, The joint Doctoral School of Mathematics of the Universities of Trento and Verona together with the Department of Computer Science of the University of Verona, will organise a Modelling Week (Math Modeling of Industrial Problems) for PhD students, in Verona, from the 4th to the 10th of September 2016. Detailed informations about the initiative can be found at the following link http://profs.scienze.univr.it/caliari/phdmw/ Target participants are mostly *PhD students from all of Europe*. We have the possibility to *offer lodging and meals* (and reimburse tax fees) for approximately *20 students*. The treated industrial problems will focus particularly on numerical analysis, operation research, mathematical finance and math in biomedecine. *Please note that* The *deadline for the registration* is *May 15*, 2016. Candidates that want to request financial support for lodging, travel expenses and/or fee reimbursement, have to register within *April 30*, 2016. The registration fee is 150.00 Euros (it includes, in particular, coffee breaks, lunches, dinners and final social dinner). In order to confirm the registration, the fee is due within 15 days from submitting the registration form. We kindly ask to disseminate the event among potentially interested students and colleagues. With best regards, Luca Di Persio __ Luca Di Persio - PhD assistant professor of Probability and Mathematical Finance Dept. Informatics University of Verona strada le Grazie 15 - 37134 Verona - Italy Tel : +39 045 802 7968 Dept. Math University of Trento V. Sommarive, 14 - 38123 Povo - Italy Tel : +39 0461 281686

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Reminder: Prof. Nils Hjort PhD short course on Confidence distributions
by Andrea Ongaro 12 Apr '16

12 Apr '16

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Premi di ricerca AMASES per giovani studiosi
by Antonella Basso 11 Apr '16

11 Apr '16

Il comitato scientifico AMASES (Associazione per la Matematica Applicata alle Scienze Economiche e Sociali) ha deciso di istituire anche quest'anno due premi di ricerca per giovani studiosi, al fine di promuovere lo studio della Matematica applicata alle Scienze Economiche e Sociali e di incentivare la ricerca di eccellenza: 1. un premio di ricerca per il miglior lavoro che verrà presentato al Convegno Nazionale Amases 2016, che si terrà a Catania dal 15 al 17 settembre, da giovani studiosi; 2. un premio di ricerca per la pubblicazione della migliore tesi di dottorato. Trovate i bandi dei due premi e maggiori informazioni alle seguenti pagine web: 1. http://www.amases.org/awards/paper/303:amases-award-for-the-best-paper-pres… 2. http://www.amases.org/homepage-3/30-open-call-doctoral-dissertation-award/3… Si prega di dare la massima diffusione all'informazione presso i giovani. Cordiali saluti Antonella Basso -- Antonella Basso Prorettore alla Programmazione e Valutazione - Prorector at Planning and Valuation Dipartimento di Economia Università Ca' Foscari Venezia Fondamenta S. Giobbe - Cannaregio 873 30121 Venezia - Italy Tel. +39-041-2346914 - Fax +39-041-2347444 E-mail address: basso(a)unive.it Web page: http://www.unive.it/nqcontent.cfm?a_id=415&persona=000893

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Summer School in Economics and Finance - Canazei 2016
by Antonella Basso 11 Apr '16

11 Apr '16

*A.M.A.S.E.S. Department of Economics, Management and Statistics, University of Palermo Department of Economics, University of Verona* jointly organize the *Summer School in Economics and Finance SSEF Canazei 2016* Alba di Canazei, Trento - Italy *July 25-29 2016* *NETWORKS AND BIG DATA ANALYSIS IN ECONOMICS, FINANCE, AND SOCIAL SYSTEMS* *Giulia Iori*, Department of Economics, City University London, London, UK http://www.city.ac.uk/people/academics/giulia-iori E-mail: g.iori(a)city.ac.uk <mailto:g.iori@city.ac.uk> *Christofer Edling*, Department of Sociology, Lund University, Lund, Sweeden http://www.soc.lu.se/en/christofer-edling E-mail: christofer.edling(a)soc.lu.se <mailto:christofer.edling@soc.lu.se> *Michele Tumminello*, Department of Economics, Management and Statistics, University of Palermo http://www.unipa.it/persone/docenti/t/michele.tumminello E-mail: michele.tumminello(a)unipa.it <mailto:michele.tumminello@unipa.it> Application: *submission deadline: May 9* If your application is accepted, you will receive a confirmation e-mail by May 16. If accepted, you have to pay the fee before May 23. The school will be activated with a minimum of 15 paying participants. It is recommended to arrive at Alba di Canazei by Sunday, July 24, given that the activities begin at 9 am on Monday 25 Further details are available at: http://dse.univr.it/safe/schools/ *SAVE THE DATE* * * * * -- Antonella Basso Prorettore alla Programmazione e Valutazione - Prorector at Planning and Valuation Dipartimento di Economia Università Ca' Foscari Venezia Fondamenta S. Giobbe - Cannaregio 873 30121 Venezia - Italy Tel. +39-041-2346914 - Fax +39-041-2347444 E-mail address: basso(a)unive.it Web page: http://www.unive.it/nqcontent.cfm?a_id=415&persona=000893

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