________________________________
----- Messaggio inoltrato da Robert Stelzer <robert.stelzer(a)uni-ulm.de> -----
Data: Fri, 12 May 2023 11:56:42 +0200
Da: Robert Stelzer <robert.stelzer(a)uni-ulm.de>
Oggetto: Open positions at Ulm University
A: Robert Stelzer <robert.stelzer(a)uni-ulm.de>
Dear Colleagues and Friends,
We are currently looking for talented young researchers interested to
work in areas like data science, statistics of stochastic
processes/fields, stochastic analysis, financial mathematics or time
series analysis. Please find at
https://stellenangebote.uni-ulm.de/jobposting/26e266484982098ec5e81494cafa0…
(German version: https://stellenangebote.uni-ulm.de/jobposting/21e19c6645dfea6fc90a926f9b56f… )
the announcement for an open position as a Postdoc or PhD student
(academic employee) at the Institute of Mathematical Finance at Ulm
University starting October 2023 or later.
It would be very kind if you would bring it to the attention of
possible candidates. Thank you very much for your help!
Best Regards,
Robert Stelzer
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
For the Institute of Mathematical Finance we are looking for an
Academic employee (m/f/d)
The institute of Mathematical Finance carries out cutting edge
research in selected areas of statistics, data science, financial
mathematics and stochastic processes collaborating on an international
level. Of particular importance in the research projects is the
combination of challenging mathematics with relevant current questions
from applications.
Within our research projects we are looking for outstanding junior
scientists full of curiosity, enthusiasm for mathematics and its
applications and being interested in further scientific qualification,
e.g. in the form of a PhD or habilitation.
On the postdoctoral level employment on a full position is intended on
the PhD student level on half a position (it is intended to increase
this by the acquisition of additional funding).
Your profile:
* a very good master degree (Postdoc: PhD) in mathematics or a
comparable degree
* interest in research in areas like data science, statistics of
stochastic processes/fields, stochastic analysis, financial
mathematics or time series analysis and appropriate previous experiences
*
interest in didactics and high-quality teaching
* willingness to work on one’s own scientific qualification
*
very good command of English and ability to teach in English
* Commitment, ability to work in teams and interest in
interdisciplinary cooperation
Your responsibilities:
* Contribution to the teaching and supervision duties of the
institute. The formal teaching load is four hours per semester and
week for a full position.
* Participation in the research projects of the institute
* own further scientific qualification (e.g. PhD or habilitation)
Seize the opportunity and join us in shaping the future of the University!
*> Reference no.:* 23066
*> Application deadline:* 09.06.2023
Hiring is done by the Central University Administration.
Your contact for further information:
Prof. Dr. Robert Stelzer, phone +49 731 50-23520
We look forward to your application via our online application portal.
*> Scope:* Fulltime or Part-time 50%
*> Temporary:* in line with qualification aim (Postdoc: initially 2
years, PhD student 3 years)
*> Remuneration:* TV-L EG 13
*> Start:* 01.10.2023 or later
Ulm University with its more than 10,000 students offers varied
professional tasks in a highly innovative research, teaching and work
environment, at the same time facilitating the reconciliation of work
and family in many ways.
https://www.uni-ulm.de/stellenportal
<https://www.uni-ulm.de/stellen-weitere-infos>
We seek to increase the proportion of women in research and teaching
and particularly encourages qualified female scientists to apply for
this position.
As a rule, full-time positions can be split.
Severely disabled applicants with equal aptitude will be given preferential
consideration.
--
+++++++++++++++++++++++++++++++++++++++++
Prof. Dr. Robert Stelzer
Institute of Mathematical Finance
Ulm University
Helmholtzstraße 18
89081 Ulm
Germany
Phone: +49 731 50 23520
Fax: +49 731 50 31096
Email:robert.stelzer@uni-ulm.de
http://www.uni-ulm.de/mawi/finmath/people/stelzer.html
----- Fine messaggio inoltrato. -----
Dear colleagues,
the
Berlin-Oxford International Research Training Group (IRTG) 2544
“Stochastic Analysis in Interaction”
offers 8 PhD positions (75% TVL E 13, about 1900 EUR p.m. after taxes, social security...) for 3 years starting
October 1st, 2023, or soon thereafter.
Funded by the Deutsche Forschungsgemeinschaft (DFG), the IRTG is a joint research initiative of the stochastic analysis groups of FU, HU, TU and WIAS Berlin with its counterpart at the University of Oxford. The advertised positions will be based in Berlin and will offer ample opportunities to interact also with members of the Oxford team, most notably in a 6-months exchange.
Embedded in a truly international environment, the IRTG students will get excellent research training in a structured programme focussing on challenges at the mathematical foundations of Stochastic Analysis as well as on challenges arising from its various applications, e.g., in physics, biology, finance or data science. The combined expertise from the Berlin and Oxford groups will provide a significant breadth in depth and fertile ground for our students' ambitious research ideas.
Successful candidates will have an MSc degree (or equivalent) in Mathematics (or a closely related field), strong knowledge of stochastic analysis, and feel eager to engage in the exchange of ideas with the teams in both Berlin and Oxford.
Deadline for applications is
May 26, 2023.
Please see
https://www.jobs.tu-berlin.de/stellenausschreibungen/165412?language=en
for the official job ad and for instructions how to apply.
Our IRTG webpage
www.math.tu-berlin.de/irtg<http://www.math.tu-berlin.de/irtg>
offers more information on the Berlin-Oxford IRTG 2544.
Kind regards,
Laura Körber
---------- Forwarded message ----------
Date: Fri, 12 May 2023 11:56:42 +0200
From: Robert Stelzer <robert.stelzer(a)uni-ulm.de>
To: Robert Stelzer <robert.stelzer(a)uni-ulm.de>
Subject: Open positions at Ulm University
Dear Colleagues and Friends,
We are currently looking for talented young researchers interested to work
in areas like data science, statistics of stochastic processes/fields,
stochastic analysis, financial mathematics or time series analysis. Please
find at
https://stellenangebote.uni-ulm.de/jobposting/26e266484982098ec5e81494cafa0
6a07e77831d
(German version:
https://stellenangebote.uni-ulm.de/jobposting/21e19c6645dfea6fc90a926f9b56f
c26fc1a7dbf )
the announcement for an open position as a Postdoc or PhD student (academic
employee) at the Institute of Mathematical Finance at Ulm University
starting October 2023 or later.
It would be very kind if you would bring it to the attention of possible
candidates. Thank you very much for your help!
Best Regards,
Robert Stelzer
For the Institute of Mathematical Finance we are looking for an
Academic employee (m/f/d)
The institute of Mathematical Finance carries out cutting edge research in
selected areas of statistics, data science, financial mathematics and
stochastic processes collaborating on an international level. Of particular
importance in the research projects is the combination of challenging
mathematics with relevant current questions from applications.
Within our research projects we are looking for outstanding junior
scientists full of curiosity, enthusiasm for mathematics and its
applications and being interested in further scientific qualification, e.g.
in the form of a PhD or habilitation.
On the postdoctoral level employment on a full position is intended on the
PhD student level on half a position (it is intended to increase this by the
acquisition of additional funding).
YOUR PROFILE:
* a very good master degree (Postdoc: PhD) in mathematics or a comparable
degree
* interest in research in areas like data science, statistics of
stochastic processes/fields, stochastic analysis, financial mathematics
or time series analysis and appropriate previous experiences
* interest in didactics and high-quality teaching
* willingness to work on one’s own scientific qualification
* very good command of English and ability to teach in English
* Commitment, ability to work in teams and interest in interdisciplinary
cooperation
YOUR RESPONSIBILITIES:
* Contribution to the teaching and supervision duties of the institute.
The formal teaching load is four hours per semester and week for a full
position.
* Participation in the research projects of the institute
* own further scientific qualification (e.g. PhD or habilitation)
Seize the opportunity and join us in shaping the future of the University!
> Reference no.:
23066
> Application deadline:
09.06.2023
Hiring is done by the Central University Administration.
Your contact for further information:
Prof. Dr. Robert Stelzer, phone +49 731 50-23520
We look forward to your application via our online application portal.
> Scope:
Fulltime or Part-time 50%
> Temporary:
in line with qualification aim (Postdoc: initially 2 years, PhD student 3
years)
> Remuneration:
TV-L EG 13
> Start:
01.10.2023 or later
Ulm University with its more than 10,000 students offers varied professional
tasks in a highly innovative research, teaching and work environment, at the
same time facilitating the reconciliation of work and family in many ways.
https://www.uni-ulm.de/stellenportal
We seek to increase the proportion of women in research and teaching and
particularly encourages qualified female scientists to apply for this
position.
As a rule, full-time positions can be split.
Severely disabled applicants with equal aptitude will be given preferential
consideration.
--
+++++++++++++++++++++++++++++++++++++++++
Prof. Dr. Robert Stelzer
Institute of Mathematical Finance
Ulm University
Helmholtzstraße 18
89081 Ulm
Germany
Phone: +49 731 50 23520
Fax: +49 731 50 31096
Email: robert.stelzer(a)uni-ulm.de
http://www.uni-ulm.de/mawi/finmath/people/stelzer.html
OWPS's next session will be on Wednesday the 24th of May from 15:00 to 17:00 UTC (Coordinated Universal Time). Our next speaker is:
Justin Salez (Université Paris-Dauphine & PSL)
Title, abstract and the zoom link are below the signature and can be found on the website https://www.owprobability.org/one-world-probability-seminar.
If you are interested in the project, we kindly ask you to share this announcement within your community.
With best wishes,
Alberto Chiarini (Padua) and Adrián González Casanova (Berkeley and México)
-----------------------------------------------------------------------------------------------------------
Talk : Justin Salez (Université Paris-Dauphine & PSL)
Title: A new approach to the cutoff phenomenon
Abstract: The cutoff phenomenon is an abrupt transition from out of equilibrium to equilibrium undergone by certain Markov processes in the limit where the size of the state space tends to infinity. Discovered forty years ago in the context of card shuffling, it has since then been observed in a variety of examples, from random walks on random graphs to high-temperature spin glasses. Nevertheless, a general theory is still missing, and identifying the precise mechanisms that underlie this phase transition remains one of the biggest challenges in the quantitative analysis of finite Markov chains. In the first part of the lecture, I will try to provide a self-contained introduction to this fascinating question. In the second part, I will describe a new approach based on entropy and curvature, which has recently led to a systematic proof of cutoff for a relatively broad class of chains.
Join Zoom Meeting
https://unipd.zoom.us/j/84651983262?pwd=N083WWs3RkIyZ0hHckFtbkEzY0xNZz09
Meeting ID: 846 5198 3262
Passcode: 009403
If you are having trouble with zoom, or if the capacity of the zoom room gets exceeded, you can also access to the Youtube live stream at the channel of the seminar: https://www.youtube.com/channel/UCiLiEQGTp6bZEhuHDM-WNWQ
Dear All,
I am forwarding an advert for a summer school from Stefan Geiss. This may
be of interest for PhD students and early career researchers in stochastic
control and optimal stopping. The registration deadline has passed but
there are a few remaining places available. Interested people should
contact the organiser directly.
Best wishes
Tiziano
-------------------
Dear Tiziano,
although the application period is already closed, I would like to
inform you about the course
MA3: Optimal Stopping and Free-Boundary Problems
Time: 14.-18.08.2023
Lecturer: Goran Peskir (University of Manchester)
Coordinator: Stefan Geiss
Webpage:
https://www.jyu.fi/en/research/summer-and-winter-schools/jss
at the 32nd Jyväskylä Summer School at the University of Jyväskylä
(Finland).
We still have some free places so it would be great if you could spread
the information to potentially interested students and researchers.
In case of interest, they should contact me under
stefan.geiss(a)jyu.fi
as soon as possible directly so that I can manage their inscription.
Kind regards, Stefan Geiss
22nd INTERNATIONAL CONFERENCE
CREDIT 2023
*Social, Sovereign and Geopolitical Risks *
Venice, Italy
21 –22 September 2023
*
*
*GRETA Associati* (Venice, Italy), *CRIF* (Bologna, Italy),*European
Datawarehouse* (Frankfurt, Germany),*European Investment Bank
*(Luxembourg),*European Investment Fund *(Luxembourg) and *Intesa
Sanpaolo *(Milan, Italy) are partners in organasing a Conference to be
held in Venice on September 21-22, 2023.
The CREDIT 2023 conference will bring together academics, practitioners
and PhD students working in various areas of financial and
socio-economic risk with the aim of creating a unique opportunity for
participants to discuss research progress and policy as well as
industry-relevant insights and directions for future research.
The CREDIT 2023 is the*twenty-second *in a series of events dedicated to
various aspects of credit risk and organised under the auspices of: the
*Department of Economics* and *VERA - Venice centre in Economic and Risk
Analytics for public policies - of the Ca’ Foscari University of
Venice*, *ABI - Italian Banking Association*,***AIAF - Associazione
Italiana per l'Analisi Finanziaria* and *AIFIRM - Associazione Italiana
Financial Industry Risk Managers*.
Recent years have seen a series of crises (from health/pandemic to
climate/energy) that have not only put a strain on global mechanisms
previously seen as robust, but have exacerbated existing weaknesses and
so increased vulnerability in new crisis situations. The social impact
of the pandemic was partially mitigated by public interventions but
social conditions then worsened with the soaring costs of energy, raw
materials and inflation more broadly. Social and energy costs, which
inevitably weigh on invidual countries and aggravate already delicate
local situations (e.g., public debts), have led to growing geopolitical
tensions, with global systemic consequences. The CREDIT 2023 conference
will be dedicated to Social, Sovereign and Geopolitical Risks to
discuss, evaluate and address the near- and medium-term macro-financial
impact of persistent crises (“permacrisis”) that can affect the
stability of financial as well as socio-economic systems.
The organizers encourage submissions on any topic within the overall
theme of the conference and in the following areas in particular:
* *Socio-economic Stability: *Future development of income (and
wealth) inequality and social polarization; Risk, inequality and
employment impacts of crises and policies; Gender and skilling
issues will increase or help the transition?;
* *Sovereign Risks: * Sovereign debt with low economic growth; Long
term challenges for fiscal and monetary policies: green
transformation, commodity prices, de-globalization and demographic
trends; Inflation and exchange rate risks; Environmental and social
inter-dependencies; social and environmental preferences and how
these affect the stability and macroeconomic wellbeing of a given
country; Challenges in measuring the ESG ratings of countries and
thus of sovereign debt;
* *Geopolitical Risks:* Global supply chain and de-globalization risks
for finance; Do international energy price discrepancies pose risks
for the competitiveness of EU firms’ and might this have
implications for the real exchange rate to?; Risks stemming from
accelerating deglobalisation; Cyber-risk vulnerabilities of banks
and firms;
* *Energy/Commodity Security:* Energy prices and financial performance
of firms; Inefficiency of energy markets under scarcity; Transition
costs under high energy and resource prices; Volatility of
energy-related asset prices (both brown and green) and implications
for medium and long term investments in energy production
technologies, energy commodity assets and energy infrastructure;
Implications of net zero policies for the prices of real estate
assets, especially for homeowners and households;
* *Long Run Investments and Portfolios:* Stability of asset market
equilibria under low returns; Regulation (-demand) driven asset
prices; Equilibrium asset price levels under structural
transformation and high uncertainty; Net zero pledges and the
possible trade-off between sustainability and returns; Engagement
versus divesting.
The final program will include both submitted and invited papers.
Acceptances received so far from invited speakers include *Elisa
Giuliani* (University of Pisa), *Helen Rey *(London Business School),
*Roberto Rigobon *(MIT Sloan School of Management), and *Moritz
Schularick *(Sciences Po Paris & University of Bonn). The Conference
will also include panel discussions on the major issues at stake with
the views of researchers', practitioners' and policy makers and a
session dedicated to the EU funded project *TranspArEEnS*.
The SCIENTIFIC COMMITTEE for the Conference consists of:
*Moritz Schularick *(Sciences Po Paris & University of Bonn, Programme
Chair)
*Francesca Campolongo* (Joint Research Center, European Commission)
*Rajna Gibson* (University of Geneva & Geneva Finance Research Institute)
*Helmut Kraemer-Eis* (European Investment Fund)
*Jan Pieter Krahnen *(Leibniz Institute for Financial Research SAFE &
Goethe University)
*Steven Ongena *(University of Zurich, Swiss Finance Institute, KU
Leuven, NTNU Business School & CEPR)
*Loriana Pelizzon *(Ca’ Foscari University of Venice, Leibniz Institute
for Financial Research SAFE & Goethe University)
*Roberto Rigobon* (MIT Sloan School of Management)
*Stephen Schaefer *(London Business School)
*Marti Subrahmanyam *(NYU Stern Business School)
*Christoph Trebesch* (Kiel Institute)
CALL FOR PAPERS
Those wishing to present a paper at the Conference should submit by *May
31, 2023 *to the address given below (preferably in electronic format).
Please indicate to whom correspondence should be addressed. Decisions
regarding acceptance will be made by *June 30, 2023*. The final version
of accepted papers must be received by August 31, 2023.
Please send papers to:
GRETA Associati, San Polo, 2605 - 30125 Venice, ITALY
Phone : +39 041 5238178 - e-mail: credit(a)greta.it
More detailed information available on the Conference website:
https://www.greta.it/index.php/it/credit-2023
<#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>
Dear colleagues,
I would like to advertise the call for PhD scholarships at the Department
of Mathematics of University of Pisa:
Deadline: May 29, 2023, 1pm Rome time zone.
We strongly encourage applications of students interested in probability.
The research interests of our probability group here in Pisa include:
stochastic evolutions (e.g. stochastic partial differential equations,
regularization by noise, stochastic fluid dynamics), probabilistic methods
in machine learning (e.g. learning dynamics for neural networks),
variational problems in commutative and non-commutative setting (e.g.
quantum probability, random optimal transport, Malliavin calculus),
stochastic processes for chemical reactions networks (e.g. propagation of
chaos, large deviations). See also our webpage:
https://www.dm.unipi.it/research/probability-and-mathematical-statistics/
Our group carries out (together with Scuola Normale, Firenze and Siena) the
"probability, stochastic analysis and statistics seminar series", usually
on a weekly basis. PhD students can also enjoy study groups and informal
seminars which usually run at University of Pisa or at Scuola Normale
Superiore in Pisa.
The Department of Mathematics has been awarded with the excellence
framework (Dipartimento di eccellenza) for the period 2023-2027. More
information on the PhD program in Mathematics are available here:
https://www.dm.unipi.it/phd/
Do not hesitate to contact me or the other members of the group for further
information.
You find here the official call in Italian
https://dottorato.unipi.it/index.php/it/concorsi-d-ammissione-a-a-2023-2024…
and here the English translation:
https://dottorato.unipi.it/index.php/en/application-process-for-the-academi…
Best regards
Mario Maurelli
SEMINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO
<https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…>
Mercoledi 10 Maggio 2023, alle ore 12.00, presso il Collegio Carlo Alberto,
in Piazza Arbarello 8, Torino, si terrà il seguente seminario:
------------------------------------------------
Speaker: *Regina Liu* (Rutgers University, USA)
Title: *Fusion Learning: Combining Inferences from Diverse Data Sources*
Abstract:
Advanced data collection technology nowadays has often made inferences from
diverse data sources easily accessible. Fusion learning refers to combining
inferences from multiple sources or studies to make a more effective
overall inference than that from any individual source or study alone. We
focus on the tasks: 1) Whether/When to combine inferences? 2) How to
combine inferences efficiently? 3) How to combine inference to enhance an
individual or target study? We present a general framework for
nonparametric and efficient fusion learning for inference on
multi-parameters, which may be correlated. The main tool underlying this
framework is the new notion of depth confidence distribution (depth-CD),
which is developed by combining data depth, bootstrap and confidence
distributions. We show that a depth-CD is an omnibus form of confidence
regions, whose contours of level sets shrink toward the true parameter
value, and thus an all-encompassing inferential tool. The approach is shown
to be efficient, general and robust. It readily applies to heterogeneous
studies with a broad range of complex and irregular settings. This property
also enables the approach to utilize indirect evidence from incomplete
studies to gain efficiency for the overall inference. The approach will be
shown with simulation studies and real applications in aircraft landing
performance tracking and in financial forecasting.
------------------------------------------------
Sarà possibile seguire il seminario anche in streaming:
Join Zoom Meeting
<https://us02web.zoom.us/j/89011414757?pwd=M2xDT3g1cy9kNm50REdoYUEzdU9sdz09>
Il seminario è organizzato dalla "de Castro" Statistics Initiative
www.carloalberto.org/stats
--
Pierpaolo De Blasi
University of Torino & Collegio Carlo Alberto
carloalberto.org/pdeblasi
<https://sites.google.com/a/carloalberto.org/pdeblasi/>