Con preghiera di diffusione.
E' aperto il bando per un Postdoc di 3 anni in "*Machine
Learning/Statistics for Big Data*" presso l'Universita' di Leeds - scadenza
del bando *23 Novembre 2015*.
Ulteriori informazioni possono essere trovate al seguente link
https://jobs.leeds.ac.uk/Vacancy.aspx?ref=MAPMA1031
Cordiali saluti
Tiziano De Angelis
---------- Forwarded message ----------
Date: Fri, 27 Nov 2015 15:33:26 +0000
From: Paolo Guasoni <paolo.guasoni(a)dcu.ie>
To: undisclosed-recipients: ;
Subject: Lectureship in Financial Mathematics at DCU
Dear Colleague,
Dublin City University has a Lecturer vacancy in Financial Mathematics:
http://www4.dcu.ie/hr/vacancies/current.shtml
Please draw this to the attention of potential candidates.
The closing date for applications is January 3rd.
All the best,
Paolo Guasoni
Carissimi,
stiamo organizzando un workshop intitolato Energy Finance Italia
(EFI), prima edizione, per collegare la comunit? italiana che lavora su
finanza ed economia dell'energia. Sul tema avevamo gia' organizzato in
Italia il convegno Energy Finance 2014 (energyfinance2014.org), della
serie europea Energy Finance.
EFI sara' tenuto all'Universita' di Camerino (Camerino, MC), giovedi' 10 e
venerdi' 11 dicembre pp.vv.
Il tema e': tutto quanto di interessante si fa in energy finance ed
economics, (dal pricing alla policy, dall'econometrics al disegno e alle
simulazioni del mercato elettrico, dagli equilibri micro nei mercati dei
carburanti, della CO2 e delle rinovabili al disegno di contratti derivati,
dalle analisi con integrated assessment model del global warming
all'ottimizzazione della gestione degli impianti idroelettrici), con gli
scopi di:
1) riunirci come 'collezione di competenze' del settore, e di
2) creare una comunita' di riferimento italiana, da usare per integrare le
proprie reti di contatti individuali, per proporre progetti per
finanziamenti, come workshop italiano a cui mandare dottorandi e postdoc,
eccetera, tutto questo, ovviamente, in Italia.
Il sito del workshop e':
http://energyfinanceitalia.dtdns.net/
Chi fosse interessato a partecipare e/o a contribuire con un talk, e'
pregato di scrivere a carlo.lucheroni(a)unicam.it ENTRO VENERDI' 5 DICEMBRE.
Grazie per l'attenzione,
Carlo Lucheroni (Universit? di Camerino), Carlo Mari (Universit? di Chieti
Pescara), Tiziano Vargiolu (Universit? di Padova).
--------------------------------------------------------------------------
Tiziano Vargiolu
Dipartimento di Matematica Phone: +39 049 8271383
Universita' di Padova Fax: +39 049 8271428
Via Trieste, 63 E-mail: vargiolu(a)math.unipd.it
I-35121 Padova (Italy) WWW: http://www.math.unipd.it/~vargiolu
--------------------------------------------------------------------------
---------- Forwarded message ----------
Date: Fri, 27 Nov 2015 16:21:41 +0100
From: Pietro Rossi <pietro.rossi(a)prometeia.com>
To: Tiziano Vargiolu <vargiolu(a)math.unipd.it>
Subject: Annuncio di seminario
Con il consueto invito di estenderlo a chiunque possa essere interessato
Giovedi 3 Dicembre ore 14:30
Anna Maria Gambaro
Dottoranda presso il dipartimento di statistica e metodi quantitativi
(DISMEQ) dell'universit? di Milano Bicocca
HJM multiple-curve model with time-changed L?vy processes
Abstract:We propose a multiple-curve model, set in Heath-Jarrow-Morton
framework, with time-changed L ?evy as driving processes. This class of
process was introduced in finance by Carr and Wu (2004) for pricing of
equity derivatives. However, recently, empirical studies, as Leippold
and Str?mberg (2014), suggest the application of time-changed L ?evy
process to interest rate financial products. In particular, L ?evy
processes generate very flexible return innovation distribution and take
into account potential discontinuities in Libor dynamics. On the other
hand, the time change and the dependence between the L ?evy process and
the random time introduce ?stochastic volatility? and ?stochastic skew?
in the model, in order to reproduce the term structure of the volatility
smile of caps and swaptions. This paper is inspired by the work of
Eberlein and Raible (1999) on L ?evy models, generalized in Crepey et
al. (2014) to a multiple curve setting. To the best of our knowledge, no
previous works present a theoretically consistent no-arbitrage framework
for pricing interest rate derivatives with time-changed L ?evy process.
Moreover we apply these flexible processes to a multiple-curve post
crisis set-up. First of all, we build a term structures for zero coupon
bonds and Libor forward rate and we derive sufficient conditions to
ensure the absence of arbitrage. Moreover the pricing of interest rate
derivatives, as caps and swaptions, is developed using the Fourier
transform method. Finally different choices for the construction of the
driving process are examined and compared.
Il seminario si terra' presso la sede di Prometeia a Bologna in Via
Marconi 43.
--
Disclaimer: http://www.prometeia.it/disclaimer
SPRING SCHOOL IN FINANCE 2016
March 10-12, 2016
University of Bologna, Italy
https://events.unibo.it/ssf2016
A three day Spring School in Financial Mathematics will be held in Bologna
on March 10-12, 2016.
The School is open to both practitioners and people from the academic world
and intends to provide two crash courses on Credit and Counterparty risk
given by
* St?phane Cr?pey (University of Evry)
* Andrea Pallavicini (Banca IMI, Milan - Imperial College, London)
For further information and registration, see:
https://events.unibo.it/ssf2016/registration
Barbara Giovannini
Tutor C.A.F. Finanza Matematica
Dipartimento di Matematica
Piazza di Porta San Donato, 5
40126 Bologna
A tutti gli interessati.
Elisabetta
---------- Forwarded message ----------
From: Ron Peled <peledron(a)post.tau.ac.il>
Date: 24 November 2015 at 08:26
Subject: Post-doctoral positions in Probability and Statistical Mechanics
at Tel Aviv University
To:
Dear colleagues,
We would appreciate if you could bring the following announcement of
post-doctoral positions at Tel Aviv University to the attention of relevant
applicants.
The School of Mathematical Sciences at Tel Aviv University invites
applications for post-doctoral fellowships in Probability Theory and
Statistical Mechanics. Our group includes Prof. Asaf Nachmias
<http://www.math.tau.ac.il/~asafnach/>, Ron Peled
<http://www.math.tau.ac.il/%7Epeledron/>, Boris Tsirelson
<http://www.tau.ac.il/%7Etsirel/> and Sasha Sodin
<http://www.math.tau.ac.il/~sashas1/> and keeps close ties with the
analysis and combinatorics groups in the school. The position starts on
October 1, 2016 and its duration is for 2 years with an option for renewal.
Shorter durations or other starting dates can be considered. Applicants
should complete their Ph.D. degree by September 30, 2016.
Post-doctoral fellowships are research positions and do not carry teaching
responsibilities.
Candidates should e-mail the following application materials to Ms. Nurit
Liberman at nuritl(a)tauex.tau.ac.il with cc to Prof. Ron Peled at
peledron(a)post.tau.ac.il:
- CV
- List of publications
- Research statement
- Three letters of recommendation
The deadline for applications is January 15, 2016. Applications received
after the deadline will be considered if positions remain open.
The positions are also announced on the MathJobs website:
https://www.mathjobs.org/jobs/jobs/8089
Thank you very much,
Ron
With apologies for crossposting.
-------- Original Message --------
Subject: PhD position in statistics of extremes
From: Juan-Juan Cai <J.J.Cai(a)tudelft.nl>
We are now recruiting a phd student for the project “Probabilistic forecasts of extreme weather utilizing advanced methods from extreme value theory”.
Might you help to forward this to some candidates who might be interested? Thank you very much!
For information about this position, see the end of the email or click here http://recruitment2.tudelft.nl/vacatures/index.php?lang=en&id=564779&type=a .
Best,
juan
Duration of contract 4 years
Salary scale €2125 to €2717 per month gross
Job description
The research project “Probabilistic forecasts of extreme weather utilizing advanced methods from extreme value theory” is funded by STW and is a collaboration between the statistics section, Delft University of Technology and the R&D Weather and Climate Modelling department of the Royal Netherlands Meteorological Institute (KNMI).
There is an urgent need for statistically sound prediction methods for extreme weather, which often has a strongly disruptive societal impact. The PhD candidate will develop advanced statistical post-processing methods to estimate the probability of extreme weather, utilizing large meteorological data sets and extreme value theory, and will verify these newly developed methods. It is expected that the new statistical models will be used by several partners, including KNMI, to improve their short-term forecasts and warnings of extreme weather. The PhD candidate will work in close collaboration with colleagues from KNMI and communicate regularly with the partners on project progress. The student will be supervised by Prof. G. Jongbloed (TU Delft), Dr. J. Cai (TU Delft) and Dr. M.J. Schmeits (KNMI).
The position includes modest teaching duties. The candidate is expected to finish his/her project with a PhD thesis and disseminate the results through publications in peer-reviewed journals and presentations at international conferences.
Requirements
The candidate possesses an MSc degree in mathematics (specialisation statistics or probability theory) or econometrics, preferably with a strong curriculum in extreme value theory. Some experience with handling and analysing large data sets would also be advantageous. (S)he must be highly motivated and interested in meteorology and have some experience in (statistical) programming (e.g. in R). In addition, we require very good communication skills and fluent spoken and written English.
How to apply
Applications should include a letter of application emphasising your specific interest in and qualifications for this position, a detailed CV, a publication list if applicable and contact details of at least two references. Additionally, a transcript of the course programmes attended and the grades obtained is required. Please e-mail your application by 15 December 2015 to Mrs. P.T.M. van den Bergh, Hr-eemcs(a)tudelft.nl . When applying for this position, please refer to vacancy number EWI2015-42.
Information
For more information about this position, please contact Dr. J. Cai ( J.J.Cai(a)tudelft.nl ) or Prof. G. Jongbloed ( G.Jongbloed(a)tudelft.nl ).