Cari colleghi,
vi segnalo che il Dipartimento di Matematica dell'Università di Padova
ha bandito un posto di ricercatore di tipo B nel settore MAT/06.
Il bando è disponibile alla pagina
http://www.math.unipd.it/it/news/?id=1898
La scadenza per la presentazione delle domande è il 25 agosto 2016.
Marco Ferrante
ricevo e inoltro:
---------- Forwarded message ----------
From: <giuliani(a)mat.uniroma3.it>
Date: Tue, Feb 21, 2017 at 2:16 PM
Subject: Two postdoc positions in Roma Tre
To: giuliani(a)mat.uniroma3.it
Dear Colleague,
I would like to draw your attention to two 2-years postdoc position
in mathematical physics within the project "Universality in Condensed
Matter and Statistical Mechanics",
funded by an ERC Consolidator Grant (PI: Alessandro Giuliani).
Interested candidates should have a strong background in the mathematics
of quantum or classical statistical mechanics. The successful applicant
will be expected to work on problems related to scaling limits in 2D
systems at the critical point, broken phases in systems with continuous
symmetry, quantum transport in interacting systems.
The appointments are for two years, starting in September 2017 or earlier
(we invite applications by March 22, 2017; the call will remain open until
the two positions are filled). The position is based at the Department of
Mathematics of the University of Roma Tre. It comes with no teaching duties
and with traveling funds to attend conferences and workshops.
A full description of the project and the position, including details
about how to apply can be found on the web page of the project:
http://www.mat.uniroma3.it/users/giuliani/public_html/erc_CoG/index.html
I would be grateful if you could bring this advertisement to any
interested candidate.
Thank you in advance,
With best regards,
Alessandro Giuliani
Carissimi,
il giorno martedi' 28 febbraio alle ore 15 presso il Dipartimento di
Matematica dell'Universita' di Padova, via Trieste 63, sala Riunioni VII piano,
la dott.ssa Maren Diane Schmeck dell'Universita' di Colonia terra' un seminario
dal titolo
ELECTRICITY PRICE MODELING WITH STOCHASTIC TIME CHANGE
(joint with SVETLANA BOROVKOVA (VU AMSTERDAM))
ABSTRACT. In this paper, we develop a novel approach to electricity price
modeling, based on the powerful technique of stochastic time change. This
technique allows us to incorporate the characteristic features of electricity
prices (such as seasonal volatility, time varying mean reversion and seasonally
occurring price spikes) into the model in an elegant and economically
justifiable way. The stochastic time change introduces stochastic as well as
deterministic (e.g., seasonal) features in the price process? volatility and in
the jump component. We specify the base process as a mean reverting jump
diffusion and the time change as an absolutely continuous stochastic process
with seasonal component. The activity rate of the stochastic time change can be
related to the factors that influence supply and demand. Here we use the
temperature as a proxy for the demand and hence, as the driving factor of the
stochastic time change, and show that this choice leads to realistic price
paths. We derive properties of the resulting price process and develop the
model calibration procedure. We calibrate the model to the historical EEX power
prices and apply it to generating realistic price paths by Monte Carlo
simulations. We show that the simulated price process matches the
distributional characteristics of the observed electricity prices in periods of
both high and low demand.
Cordiali saluti a tutti
Tiziano
--------------------------------------------------------------------------
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: Sun, 26 Feb 2017 18:35:01 +0100
From: Giulia Di Nunno <giulian(a)math.uio.no>
To: Tiziano Vargiolu <vargiolu(a)math.unipd.it>
Cc: Giulia Di Nunno <giulian(a)math.uio.no>
Subject: Fwd: Postdoc-position in Stochastic Analysis at the University of Oslo
Dear Tiziano,could you please help circulate this info.
Thank you in advance,
Giulia
Begin forwarded message:
From: Bernt ?ksendal <oksendal(a)math.uio.no>
Subject: Postdoc-position in Stochastic Analysis at the University of
Oslo
Date: 21 February 2017 at 12:15:46 GMT+1
Dear All;
The new postdoc position in stochastic analysis at the University of
Oslo has just been announced.
The deadline is 31 March 2017. For more information see
https://www.jobbnorge.no/ledige-stillinger/stilling/134569/postdoctoral-res
earch-fellowship-in-stochastic-analysis
Please help to distribute this to anyone interested :-)
Best wishes,
Bernt
Professor Emeritus Bernt ?ksendal
Department of Mathematics, University of Oslo,
Box 1053 Blindern, N-0316 Oslo,
Norway.
Home
page: http://www.mn.uio.no/math/english/people/aca/oksendal/index.html
Email: oksendal(a)math.uio.no
Stochastic Analysis Day 2017
The Stochastic Analysis Day 2017 will take place on Monday, February 27
at the Department of Mathematics of the University of Pisa.
Speakers:
* J.C. Alfonso Lopez (Braunschweig)
* L.Bianchi (Berlin)
* T. Funaki (Tokyo)
* C. Geldhauser (Pisa)
* H. Hatzikirou (Braunschweig)
*M. Maurelli (Berlin)
More information can be found on the website
http://www.dm.unipi.it/pages/romito/SPASS/workshop/20170227/
Registration is not obligatory, but highly recommended for
organizational purposes. To register, please contact the organizers.
Dear all,
I am reaching out to you because at ARPM (the company for which I work) we
are looking to add new resources for our Advanced Risk and Portfolio
Management program.
Would you mind circulating the message below to interested and qualified
candidates?
Thank you,
Elisa Appolloni
***
*The firm*
ARPM – Advanced Risk and Portfolio Management <https://www.arpm.co/> is a
privately held research institution, directed by Attilio Meucci, based in
New York City with virtual offices world-wide. ARPM’s mission is to set and
disseminate the standards for advanced quantitative risk management and
portfolio management across the financial industry: asset management,
banking, and insurance.
*The opportunity *
ARPM is looking for a new researcher-in-training for a minimum period of 6
months, indefinitely extensible. The successful candidate will review and
code practical case studies and theoretical examples in quantitative
finance, contributing to the ARPM Lab
<https://www.arpm.co/lab/books.php?action=page&id=14>. The successful
candidate will work full-time, remotely, constantly communicating via
multi-media with the other members of ARPM.
The ARPM researcher-in-training position represents a great opportunity for
candidates with strong academic background, who wish to apply to real
problems in finance the rigorous, research-oriented approach acquired in
their schooling.
*The progression*
ARPM emphasizes the constant intellectual growth of its resources. For the
first 6 months the researcher-in- training will be focused on specific
projects. At the end of this period (s)he will conduct a presentation on
the topics covered.
Then, (s)he will start broadening his/her scope, attending the
presentations of their peers and seniors, working on broader projects, and
acquiring hands-on- knowledge of all the topics of the ARPM Lab
<https://www.arpm.co/lab/books.php?action=page&id=14>. The approximate time
required to attain the required level of familiarity with the ARPM Lab
<https://www.arpm.co/lab/books.php?action=page&id=14> is: two years for a
recent master’s graduate; one year for a recent PhD graduate.
When ready, the researcher-in-training will be tested on all such topics
with an exam. If successful, (s)he will conclude his/her training period,
attaining the title of ARPM researcher. The ARPM researcher will then
engage in highly quantitative projects with ARPM clients, becoming a profit
center.
*The candidate*
[image: arrow_20]Master’s degree in mathematics, physics, engineering,
computer science, statistics, data science, quantitative economics.
[image: arrow_20]PhD in hard sciences or master’s degree in quantitative
finance is a plus.
[image: arrow_20]Very strong command of foundational mathematics, including
multivariate calculus and linear algebra.
[image: arrow_20]Good knowledge of statistics and probability.
[image: arrow_20]Proficiency in MATLAB, Python, or similar programming
languages.
[image: arrow_20]Good command of English.
*Compensation*
Competitive
For more information, please visit arpm.co <https://www.arpm.co/> and/or
contact us at info(a)arpm.co <info(a)arpm.co?Subject=job%20Post>
--
*ARPM <http://www.arpm.co/>** - Advanced Risk and Portfolio Management**®*
Thursday 2nd March from 12.00 to 13.00
LUISS
room 207
viale Romania 32
00197 Roma.
Speaker: Rama Cont (Imperial College and CNRS)
Title: Fire sales, price-mediated contagion and systemic risk
--
Sara Biagini, Professor of Mathematical Finance
Department of Economics and Finance
LUISS Guido Carli
Address: viale Romania, 32 - 00197 Roma
Web: http://sites.google.com/site/sarabiagini/
*Mini course announcement*
Prof. Simone Mattia Scotti [ LPMA, Université Paris Diderot ] will give a
mini course on
*Real markets, microstructure, clusters and Hawkes with a Branching process
point of view*, according with the following time table:
21st of March (2017) : Room I 1430-1730
23rd of March (2017) : Room M 1530-1730
24th of March (2017) : Room M 1430-1730
all the lessons will take place at the Dept. of Computer Science - UniVr
Strada le Grazie, 15 - Verona
Ca' Vignal
located here
https://goo.gl/maps/Yx2JU
*Abstract and structure of the course*
The analysis of real financial markets, along with the study of related
economic time series, represents an increasing field of research and
development of effective applications, from the stochastic processes point
of views, as well as from the statistic and computational sides of the moon.
In this mini-course, we first recall the classical framework behind the
modern and mathematically rigorous, theory of finance, starting from the
treatment of continuous-path stochastic processes.
Then, we focus on the microstructure of market data, discussing both limit
and market orders, along with correlated liquidity problems.
In a second part, we will specialize our analysis on a particular feature
of financial markets, namely the existence of jumps' cluster. It is worth
to mention that the latter has been highlighted in recent literature in
microstructure, showing to have a deep impact on real markets and
representing a main research axis in the field.
>From a mathematical point-of-view, we will first introduce point processes
and then
Hawkes processes. We will show that the self-exciting structure of Hawkes
processes can easily explain some features exhibited by financial data,
e.g. the cluster effects.
In the third part, we will introduce the branching processes (CBI) showing
that they can be seen as a natural extension (marked versions) of Hawkes
processes.
We will show that this class of models has very nice properties from
computational as well as from analytical point of view, particularly by
exploiting the Dawson-Li representation.
Moreover, we will point out some unexpected features of the aforementioned
approaches, such, e.g., the persistency of low interest rates and negative
risk premium in electricity markets.
A detailed bibliograpy will be given during the course.
___________
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 <+39%20045%20802%207968>
Dept. Math University of Trento
V. Sommarive, 14 - 38123 Povo - Italy
Tel : +39 0461 281686 <+39%200461%20281686>
*Mini course announcement*
Prof. Adrian Zalinescu [ Universitatea Alexandru Ioan Cuza - Iaşi, Romania ]
will give a mini course on *Introduction to Stochastic Partial Di
fferential Equations* (with applications to Finance, Biology, etc.),
according with the following calendar
13 - 20 - 27 of March (2017)
time table: from 1430 to 1730
all the lessons will take place at the Dept. of Computer Science - UniVr
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. *Gaussian measure theory*
Random vectors and Bochner integral. Some elements of probability in in
nite-dimensional
spaces are considered, with emphasis on the integration of random vectors
with values in
separable Banach-spaces and in operator spaces.
Gaussian measures. We introduce cylindrical Gaussian random variables and
Hilbert-spacevalued Gaussian random variables and then de ne cylindrical
Wiener processes and Q-Wiener processes (i.e. with the covariance given by
the trace-class operator Q) in a natural way. Stochastic integral and Ito's
formula. The stochastic integral is constructed with respect
to a cylindrical Wiener process, then with respect to a Q-Wiener process,
by extending the
integral of elementary processes. Some properties of the stochastic
integral are given, including Ito's formula.
2. *Stochastic Di erential Equations*
Semigroup Theory. In this section we review the fundamentals of semigroup
theory.
Stochastic Convolutions and Linear SPDEs. We derive existence and
uniqueness of di erent
types of solutions for linear SDEs driven by generators of C0-semigroups.
The method is based on the study of the stochastic convolution. Solutions
by Variational Method. The purpose is to study solutions of nonlinear
SPDEs, which are seen as evolution equations in a Gelfand triplet, under
assumptions of compact embedding or monotone coe cients.
3. *Applications*
Along the abstract study of SDEs in in nite-dimensional spaces, various
examples of SPDEs
with applications in physics, biology and mathematical finance will be
given.
A detailed bibliograpy will be given during the course.
___________
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