Lund University Mathematikcentrum is looking for a postdoctoral
researcher to join the fluid dynamics group.
The group currently consists of G. Brüll
<https://gabrielebruell.wordpress.com/>, C. Geldhauser
<https://cgeldhauser.de/>, S. Pasquali
<https://sites.google.com/view/spasquali/home>, E. Wahlen
<https://www.maths.lu.se/staff/erik-wahlen/> and J. Weber, conducting
research in nonlinear dispersive equations, point vortices, and 3D water
waves with vorticity. We offer an active research environment and
opportunities for career development in our young, dynamic and diverse
group of scholars.
The researcher should contribute to the third-party funded project
"Stochastic Models of Turbulence" of C. Geldhauser and potentially other
research projects, e.g. the ERC project 3DWATERWAVES
<https://www.maths.lu.se/staff/erik-wahlen/research/mathematical-aspects-of-…>
of E. Wahlen. If the applicant wishes, some teaching may also be
included in the work duties. To contribute to above projects, it would
be desirable that the candidate has experience in *fluid dynamics /
nonlinear PDEs, fractional heat kernel estimates, statistical physics or
stochastic analysis*.
The position is primarily thought a full-time employment of 1-2 years,
but deviations and part-time employments are possible. The period of
employment depends on the preferences of the applicant and governmental
regulations, which have several parameters, such as the date of the PhD,
parental care/sick leave times.
Interested individuals are invited to fill in this form
<https://forms.gle/HY7UMTnQi2JKnSX99> and send the following documents
as 1 pdf file to carina.geldhauser(a)math.lth.se.
* CV
* a link to your professional homepage or equivalent (e.g. MathSciNet
or arxiv author link, EWM profile)
* list of publications with links to the arxiv preprints or other
openly available versions of the papers
* a brief description (max 1/2 page) of your mathematical background,
your interests and where you see yourself 3 years from now.
A first screening of applications will take place in Mid-August.
Dear Colleagues,
a parallel session within the AMASES Annual Conference (https://www.amases.org/annual-conference-2021-home/ <https://www.amases.org/annual-conference-2021-home/>) entitled "Networks, Big Data, and Artificial Intelligence in Economics, Finance, and Social Sciences" will take place on September 15, 2021 in virtual mode using the Zoom platform.
The session focuses on the emerging multidisciplinary study of the interconnections in finance and social science, which brings with it the necessity to deal with the growing amount of data available. A special emphasis is given to the latest advances in artificial intelligence and machine learning, which are expected to have a disruptive impact in economic, financial, and social data modeling. The stream intends to foster the dialogue between academics, regulators, and practitioners.
Theoretical and empirical papers are welcome. Topics include but are not limited to:
- contagion in social, economic, and financial networks
- network modeling of financial time-series
- big data approach to financial, economic, and social modeling
- artificial intelligence and machine learning in social, economic, and financial systems
It is a great pleasure to invite you to submit an extended abstract. The deadline for submission is August 31st, 2021. The abstract submission Web page for AMASES 2021 is: https://easychair.org/conferences/?conf=amases2021 <https://easychair.org/conferences/?conf=amases2021>
As specified in the guidelines for abstract submission of the AMASES conference (please see https://www.amases.org/annual-conference-2021-abstract/ <https://www.amases.org/annual-conference-2021-abstract/>), the title of the session and the name of the organizers have to be provided at the end of the abstract itself. Moreover, please also send a pdf copy of the abstract to the organizers of this parallel session (see below for the email address).
Please refer to the official web page of the conference for further details on the submission.
Important dates:
August 31, 2021: deadline for abstract submission
September 6, 2021: notification of acceptance
September 15, 2021: parallel session
For information, please contact:
Fabrizio Lillo (fabrizio.lillo(a)unibo.it <mailto:fabrizio.lillo@unibo.it>)
Michele Tumminello (michele.tumminello(a)unipa.it <mailto:michele.tumminello@unipa.it>)
Piero Mazzarisi (piero.mazzarisi(a)sns.it <mailto:piero.mazzarisi@sns.it>)
Best regards,
Fabrizio Lillo, Michele Tumminello, and Piero Mazzarisi
Dear all,
we are pleased to inform you that the web conference
The Mathematics of Subjective Probability
will be held on 1, 2 and 3 september. Here attached you can find the detailed program of the conference.
Attendance is of course free and unrestricted and the details on how to connect on-line will be published shortly on the conference website
https://www.msp2021.campus.unimib.it/home
Gianluca Cassese, Pietro Rigo, Barbara Vantaggi
Hi all,
The application period of Complex Systems tenure track positions was extended till the 2/August/2021 because of the technical break of the application system. If you have already applied the position, you can modify your application until that day.
More information below and here:
https://tuni.rekrytointi.com/paikat/?o=A_RJ&jgid=1&jid=1064
Best regards,
Juho Kanniainen
From: "Juho Kanniainen (TAU)" <juho.kanniainen(a)tuni.fi>
Date: Sunday 13. June 2021 at 20.47
To: "random(a)fields.dm.unipi.it" <random(a)fields.dm.unipi.it>
Subject: Tenure track position/Complex Systems/Finland/DL 23.6.2021
Hi,
Tampere University (Finland) has an open tenure position in Complex Systems in Tampere (Dept of Computing Sciences):
https://tuni.rekrytointi.com/paikat/?o=A_RJ&jgid=1&jid=1064
We are looking for a computationally orientated candidate with expertise at least in one of the complex systems topics, especially in complex adaptive systems or complex networks. Candidate’s research can be exploratory and data-driven and/or model-based with various application areas, such as social sciences, computer science, economics, health, biology, or climate research. Applicants are encouraged to pursue an ambitious yet realistic research plan, emphasizing methodological, applied, and multidisciplinary aspects of their research.
If you find this position interesting, don’t hesitate to apply for it! You may also share information on this position to potential candidates.
Kind regards,
Juho Kanniainen
--
Juho Kanniainen
Professor, PhD
Tampere University
Computing Sciences/Statistical Data Analytics
Group for Financial Computing and Data Analytics<https://www.tuni.fi/en/research/financial-computing-and-data-analytics>
Mobile: +358 40 707 4532
E-mail: juho.kanniainen(a)tuni.fi<mailto:juho.kanniainen@tuni.fi>
www.sites.google.com/site/juhokanniainen<http://www.sites.google.com/site/juhokanniainen>
Coordinator of BigDataFinance EU Program
www.bigdatafinance.eu<http://www.bigdatafinance.eu>
Cari colleghi,
dal Dipartimento di Matematica e Geoscienze dell'Università di Trieste, verrà richiesto a breve un posto di ricercatore in MAT/06 (rtdA oppure rtdB); c'è qualcuno potenzialmente interessato? Saluti.
Claudio Asci
Dear All:
- The Department of Economics of the Ca 'Foscari University of Venice has
announced a public selection for a one-year research grant entitled "*Combining
optimization metaheuristics and artificial intelligence to design
quasi-real-time trading strategies*";
- Application deadline: 23 July 2021, 12:00 (Italian time);
- Call can be downloaded from the page *https://www.unive.it/data/17967/
<https://www.unive.it/data/17967/>*;
- The main objective of the project is to develop and implement a
decision-making system for financial trading combining metaheuristics for
optimization with Machine Learning and Deep Learning techniques.
Best regards,
Marco Corazza
--
Marco Corazza, Ph.D.
Department of Economics - Ca' Foscari University of Venice
San Giobbe, Cannaregio 873 - 30121 Venezia, Italy
Mobile: (+39) 366 602-9134
Phone: (+39) 041 234-6921
Fax: (+39) 041 234-7444
E-mail: corazza(a)unive.it
Editor-in-Chief: Mathematical Methods in Economics and Finance -
www.unive.it/m2ef
--
<<[S]e siamo in grado di replicare un derivato, siamo anche in grado di
determinare il suo valore relativo.>> M. Rubinstein (1999): "Derivati.
Futures, opzioni e strategie dinamiche". Il Sole 24 Ore [pag. 72].
A tutti gli interessati
ricordiamo che il *23 Luglio 2021* scadono i termini per presentare le
domande di partecipazione alla terza edizione del corso in "Trasferimento
delle Tecnologie Matematiche per l’Innovazione" organizzato dallo Sportello
Matematico per l'Innovazione e le Imprese
<http://www.sportellomatematico.it/>.
Il corso si svolgerà in modalità online durante il periodo *da lunedì 6
Settembre a venerdì 17 Settembre 2021*.
Il corso è rivolto principalmente a neolaureati in *Scienze Matematiche* e
*F**isiche*,* Ingegneria*,* Economia*,* Informatica* e *Statistica*, con l’
*obiettivo* di formare la figura professionale dell’*Esperto in
Trasferimento delle Scienze e Tecnologie Matematiche per l’Innovazione* (in
breve: Traduttore Tecnologico).
Tale figura nasce per facilitare la comunicazione e promuovere
collaborazioni tra imprese e centri di ricerca. Grazie alla sua formazione
interdisciplinare, il *Traduttore Tecnologico* può dialogare sia con
imprese che con Centri di Ricerca specializzati in Tecnologie Matematiche.
Facilita l'incontro tra i bisogni tecnologici delle PMI e le competenze
nelle Scienze e Tecnologie Matematiche disponibili nel sistema della
ricerca pubblica e privata. Promuove un numero crescente di collaborazioni
per apportare benefici tangibili alle imprese.
*Modalità di presentazione** delle domande*
Per procedere con la domanda di partecipazione, è sufficiente compilare il
form online a questo link
<https://www.sportellomatematico.it/SMII/limesurvey/index.php/729819?lang=it>
entro
il *23 Luglio 2021*, allegando un proprio CV aggiornato ed una lettera
motivazionale di autopresentazione.
Per informazioni: www.corsotraduttoretecnologico.it
Grazie in anticipo per la collaborazione,
Il Team dello Sportello Matematico
*CONTENUTI DEL CORSO*
*Tecnologie Matematiche:* cosa sono, come vengono applicate nelle imprese,
tendenze del mercato della Ricerca e Innovazione, Prototipazione Virtuale e
Digital Twinning.
*Trasferimento Tecnologico:* contesto italiano ed internazionale, settori
industriali, esperienze di successo e strategie di comunicazione.
*Gestione dell'Innovazione:* concetti, fonti, forme, modelli ed ecosistemi
dell'innovazione, Open Innovation e rapporto con la Proprietà Intellettuale
*Sistemi di Supporto alle Decisioni e Ricerca Operativa:* abilitare il
potenziale delle Tecnologie Matematiche nel Management.
*Attori e Strutture Organizzative:* Best practices, il ruolo dello
Sportello Matematico in Italia ed in Europa.
*SBOCCHI E OPPORTUNITÀ PROFESSIONALI*
Area *Ricerca e Innovazione* presso imprese manifatturiere e di servizi
*Trasferimento Tecnologico* e *Valorizzazione della Ricerca* presso
Università e Centri di Ricerca
Partecipazione a *Progetti Europei* su Tecnologie Matematiche per
l’Innovazione
Maurizio Ceseri
Sportello Matematico per l'Industria Italiana
Istituto per le Applicazioni del Calcolo (IAC-CNR)
via dei Taurini 19, 00185 Roma (Italy)
Tel: (+39) 0649937369
Website: sportellomatematico.it
ricevo e inoltro
m.
-------- Forwarded Message --------
Subject: Postdoc Position
Date: Mon, 12 Jul 2021 12:04:38 +0100
From: Xue-Mei Li <xuemei.hairer(a)googlemail.com>
To: Xue-Mei Li <xuemei.hairer(a)googlemail.com>
Dear friends and colleagues,
We will soon advertise at jobs.ac.uk <http://jobs.ac.uk> a three year
postdoctoral position,
in the department of mathematics, at Imperial college London,
to work with me on a project on
`Multi-Scale Stochastic Dynamics with Fractional Noise'.
The earliest starting date is September and no later than
first of January 2022, details to follow.
Potential candidates are welcome to contact me directly.
For articles related to the project please check my homepage:
https://www.imperial.ac.uk/people/xue-mei.lihttp://www.xuemei.org
With best wishes and many thanks.
Xue-Mei
Professor Xue-Mei Li
Imperial College London
Dear All,
I forward the following announcement regarding a PhD position in
Mathematical Finance and Actuarial Mathematics at Bielefeld University.
Best wishes,
Giorgio Ferrari
%%%%%%%%%%%%%%%%%%
The Faculty of Business Administration and Economics / Center for
Mathematical Economics (IMW) is looking for a Ph.D. candidate in the
areas Mathematical Finance and Actuarial Mathematics.
The successful applicant is expected to participate in teaching
activities and in the Collaborative Research Center 1283 "Taming
Uncertainty".
The employment is designed to encourage further academic qualification
(enrollment and active participation in the Bielefeld Graduate School of
Economics and Management is required for this position).
Further information can be found at
https://uni-bielefeld.hr4you.org/job/view/645/research-position-doctoral?pa…
We are looking forward to receiving your application. For full
consideration, your application should be received via either email (a
single PDF document is required) sent to imw(a)uni-bielefeld.de or post
(see postal address). Please mark your application with the
identification code: Wiss21735. Please note that the possibility of
privacy breaches and unauthorized access by third parties cannot be
excluded when communicating via unencrypted e-mail.
*application deadline: 29.07.2021*
Contact:
Juniorprof. Dr. Max Nendel
+49 521 106-4917
max.nendel(a)uni-bielefeld.de
Postal Address:
Universität Bielefeld
IMW
Bettina Buiwitt-Robson
Postfach 10 01 31
Bielefeld University has received a number of awards for its
achievements as an equal-opportunity employer and has been recognized as
a family-friendly university. The university welcomes applications from
women. This is particularly true with regard both to academic and
technical posts as well as positions in information technology as well
as the skilled crafts and trades. Applications are handled according to
the provisions of the state statutes on equal opportunity. Applications
from suitably qualified handicapped and severely handicapped persons are
explicitly encouraged. At Bielefeld University on request positions can
be carried out with reduced working hours as long as this does not
conflict with official needs.
Dear colleagues,
we are happy to announce the following online talk:
Speaker: *Dario Trevisan* (Università di Pisa)
Title: *On Minimal Spanning Trees for Random Euclidean Bipartite Graphs*
Abstract: The minimum spanning tree (MST) problem is a combinatorial
optimization problem with many applications, well beyond its historical
introduction for network design. The study of its random instances on
Euclidean models, e.g., on complete graphs obtained by sampling i.i.d.
uniform points on a d-dimensional cube, is classical, with many limit
results as the number of the points grows. In this talk, I will present two
new results for its bipartite counterpart, i.e., with an additional
colouring (red/blue) of the points and allowing connections only between
different colours. First, we prove that the maximum vertex degree of the
MST grows logarithmically, in contrast with the non-bipartite case, where a
uniform bound holds, depending on d only -- a fact crucially used in many
classical results. Despite this difference, we then argue that the cost of
the MST, suitably normalized, converge a.s. to a limiting constant that can
be represented as a series of integrals, thus extending a result of Avram
and Bertsimas to the bipartite case and confirming a conjecture by Riva,
Malatesta and Caracciolo. Joint work with M. Correddu, Università di Pisa.
Date and time: *Monday July 12, 17:30-18:30 (Rome time zone)*
*Zoom link:*
https://us02web.zoom.us/j/5772228296
This is a talk of the *(PMS)^2: Pavia-Milano Seminar series on Probability
and Mathematical Statistics* organized jointly by the universities
Milano-Bicocca, Pavia, Milano-Politecnico and Milano-Statale. For more
information see the dedicated webpage:
https://paviamilanoseminars.wordpress.com/
Participation is free and welcome!
Best regards
The organizers (Mario Maurelli, Carlo Orrieri, Maurizia Rossi, Margherita
Zanella)
Ricevo ed inoltro
__________________________________________________
Open Assistant position (PostDoc) for 1 year
Graz University of Technology, Austria
Institute of Discrete Mathematics
Working Groups Structure Theory and Stochastics
& Noncommutative Structures
(Wolfgang Woess & Franz Lehner)
Scheduled to start on September 15, 2021.
Requirements: PhD in Mathematics or Technical Mathematics,
awarded before the beginning of the engagement.
Desired qualifications: scientific interest in the fields
of Stochastic Processes (random walks), Graph Theory,
Geometric Group Theory and Noncommutative Probability,
possibly combining those topics. Readiness to collaborate
in research projects in these areas.
Workload 40 hours/week.
Collaboration in the teaching and examination activities
of the institute is required, in particular for
Mathematics in the Engineering sciences, in German (!).
Application deadline: August 4, 2021.
For details + how to apply, see
https://www.math.tugraz.at/~woess/position
Wolfgang Woess
Institut fuer Diskrete Mathematik,
Technische Universitaet Graz,
Steyrergasse 30, A-8010 Graz, Austria
email: woess(a)TUGraz.at
http://www.math.TUGraz.at/~woess
<http://www.math.tugraz.at/~woess>
Dear colleagues,
I would like to inform you about a 1-year position as Research Technician at BCAM, Bilbao. The position is intended as research training period for graduated student before to start a PhD program. The research is focused on physical and mathematical modelling of wildfire propagation.
The application form and details on the requested profile are available at the link:
http://www.bcamath.org/en/research/job/ic2021-07-research-technician-in-sta… <http://www.bcamath.org/en/research/job/ic2021-07-research-technician-in-sta…>
Unfortunately, because of administrative issues, the deadline is very close on the 21st of July 2021 at 14:00 CET.
For any questions, please get in contact with me at: gpagnini(a)bcamath.org <mailto:gpagnini@bcamath.org>
Feel free to share the announcement with any possible candidate.
Thank you very much.
Regards,
Gianni
—
Gianni Pagnini
Ikerbasque Research Associate
BCAM - Basque Center for Applied Mathematics
Alameda de Mazarredo, 14
E-48009 Bilbao, Basque Country - Spain
Tel. +34 946 567 842
gpagnini(a)bcamath.org | www.bcamath.org/gpagnini
( matematika mugaz bestalde )
Dear colleagues,
On July Thursday 8 at 14:00, prof. Elena Pulvirenti (TU Delft) will give a virtual seminar “in Florence”, to which you are all invited. You can find title and abstract below.
Title: Metastability for the dilute Curie-Weiss model with Glauber dynamics
Abstract: We analyse the metastable behaviour of the dilute Curie–Weiss model subject
to a Glauber dynamics. The model is a random version of a mean-field Ising model,
where the coupling coefficients are replaced by i.i.d. random coefficients, e.g.
Bernoulli random variables with fixed parameter p. This model can be also viewed
as an Ising model on the Erdos–Renyi random graph with edge probability p.
The system is a Markov chain where spins flip according to a Metropolis dynamics
at inverse temperature \beta. We compute the average time the system takes to reach
the stable phase when it starts from a certain probability distribution on the metastable
state (called the last-exit biased distribution), in the regime where the system size goes
to infinity, the inverse temperature is larger than 1 and the magnetic field is positive and
small enough. We obtain asymptotic bounds on the probability of the event that the
mean metastable hitting time is approximated by that of the Curie–Weiss model.
The proof uses the potential theoretic approach to metastability and concentration
of measure inequalities. This is a joint collaboration with Anton Bovier (Bonn) and
Saeda Marello (Bonn).
The seminar will be on Zoom. You can find the information to join below.
Time: Jul 8, 2021 02:00 PM Rome
Join Zoom Meeting
https://us02web.zoom.us/j/86877056843?pwd=VnRCYktqZUV2M05GTDMwdWRhQ2VBdz09
Meeting ID: 868 7705 6843
Passcode: 909528
If you know of someone who might be interested and is not subscribed to the random mailing list, please do not hesitate to forward this announcement to them.
Kind regards,
Gianmarco
----------------------------------------------------------------------
Gianmarco Bet (he/him)
Junior researcher
https://gianmarco.bet
Phone: (+39) 055 2751491
Department of Mathematics and Informatics "U. Dini"
University of Florence
Viale Morgagni, 65
50134 Firenze, Italy
Office 64
----------------------------------------------------------------------
Dear Colleagues,
please forward this job announcement to potential candidates.
We are looking for a data scientist and forecasting expert to join our team on "data innovation for migration and demography".
This is a 3+3 contract at the European Commission - Joint Research Centre, Ispra (IT), with highly competitive salary.
If you want to make the difference and impact the policy making cycle, apply by 28-Jul-2021 (Job# 2021-IPR-E6-FGIV-017868) here: https://lnkd.in/dWu5hBE
The successful candidate, as a member of a team of researchers and analysts, will be requested to:
* Contribute to early warning, situational awareness and forecast of migration patterns using traditional and innovative data sources as well as big data
* Contribute to the research activity on innovative data for migration, by collecting and analysing these data but also working on the related methodological challenges of integrating these data with official statistics;
* Collaborate with academic institutions and networks, Eurostat and other statistical offices, international organisations and data producers.
The ideal candidate shall have:
* A Ph.D. (doctoral degree) in data science, computer science, statistics or a related quantitative analysis discipline, or a minimum of five years professional experience after university studies, with a focus on data for policy;
* Experience in the domain of migration and/or mobility;
* Hands-on experience with data analytics, scientific programming tools (R and Python), large volumes of unstructured data, modelling and capability to transform data into information by extracting relevant insights, trends and patterns;
* Experience in machine learning and forecasting methods.
* Demonstrated experience in working with policy makers will be an asset;
* Flexibility, openness and collaborative attitude is required;
* Ability to work both autonomously and in team, result orientation, resilience to work under pressure;
* Capacity to communicate well and represent the Unit in EU policy-related events.
Looking forward to receive your application !
Stefano M. Iacus
Project Officer
[1571651612864]
European Commission
Joint Research Centre
Demography, Migration and Governance
Office: 26B 00/40
Via Enrico Fermi 2749
I-21027 Ispra / Italy
Tel +39 0332 78.6088
Fax +39 0332 78.9045
[1571651625394]
DISCLAIMER: The views expressed are purely those of the writer and may not in any circumstances be regarded as stating an official position of the European Commission.
Ricevo ed inoltro con piacere.
Saluti
Alessandra
---------- Forwarded message ---------
Da: Stefan Grosskinsky <s.w.grosskinsky(a)tudelft.nl>
Date: lun 5 lug 2021 alle ore 11:35
Subject: PhD/Postdoc position in Interacting Particle Systems, Augsburg
To: <Stefan.Grosskinsky(a)math.uni-augsburg.de>
Dear colleagues,
I am advertising a PhD or PostDoc position at Augsburg, Germany, to start
in October this year. It would be great if you can forward the announcement
below to suitable candidates. Please excuse if you have already received
this via another channel.
Thanks a lot and best wishes
Stefan Grosskinsky
We are inviting applications for a research associate position from October
1st, to support the new research group on Interacting Particle Systems of
Stefan Grosskinsky at the University of Augsburg, Germany. For technical
reasons the position is initially fixed for one year, but can be extended
to 3 years. The position is suitable for PhD or Postdoc, and includes a
modest amount of teaching. The official announcement in German can be found
here:
https://www.uni-augsburg.de/de/jobs-und-karriere/stellenangebote/2021/06/22…
Possible research topics include: Phase transitions and large-scale
dynamics in stochastic particle systems, condensation and aggregation
phenomena, hydrodynamic scaling limits, metastability, rare event
simulation; stochastic modelling of complex systems in economy, biology or
physics; for more details see
https://stefangrosskinsky.wordpress.com/
I am very happy to answer any questions, please get in touch preferably
before the end of July.
Stefan.Grosskinsky(a)math.uni-augsburg.de
Please send applications as PDF, which should include a CV, relevant
qualifications, research interests and contact details of two references.
Best wishes
Stefan Grosskinsky
--
Dr Stefan Grosskinsky
Associate Professor
DIAM, TU Delftstefangrosskinsky.wordpress.com
--
*************************************************
Prof. Alessandra Faggionato
http://www1.mat.uniroma1.it/~faggionato/
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
Office 5, Phone (0039) 06 49913252
*************************************************
Dear all,
it's a pleasure to announce the forthcoming seminar by Giorgio Ferrari,
which will be held in room 2BC30 of the Mathematics Department (Torre
Archimede) of the University of Padova and online, via Zoom, next week.
Here are the details:
* Date and time: 7 July, 14.30 pm
* Title: Multidimensional singular control and related Skorokhod problem:
sufficient conditions for the characterization of optimal controls
* Abstract: Singular stochastic control problems naturally arise in
applications and are intimately related to variational inequalities and
free-boundary problems. A key difficulty in the analysis of singular
stochastic control problems in multiple dimensions concerns the
characterization of an optimal policy, being the latter typically related
to the construction of a stochastic process with reflecting boundary
conditions. In this talk we show how to construct the optimal control for a
class of singular stochastic control problems as the unique solution to a
related Skorokhod reflection problem. The considered optimization problems
concern the minimization of a discounted cost functional over an infinite
time-horizon through a process of bounded variation affecting an
Itô-diffusion. The setting is multidimensional, the dynamics of the state
and the costs are convex, the volatility matrix can be constant or linear
in the state. We prove that the optimal control acts only when the
underlying diffusion attempts to exit the so-called waiting region, and
that the direction of this action is prescribed by the derivative of the
value function. Our approach is based on the study of a suitable
monotonicity property of the derivative of the value function through its
interpretation as the value of an optimal stopping game. Such a
monotonicity allows to construct nearly optimal policies which reflect the
underlying diffusion at the boundary of approximating waiting regions. The
limit of this approximation scheme then provides the desired
characterization. Our result applies to a relevant class of
linear-quadratic models, among others. Furthermore, it allows to construct
the optimal control in degenerate and non degenerate settings considered in
the literature, where this important aspect was only partially addressed.
The talk is based on a joint work with Jodi Dianetti.
* Zoom link: please visit the webpage
https://www.math.unipd.it/news/multidimensional-singular-control-and-relate…
Thanks for your attention and see you soon in Padova,
Giorgia Callegaro
--
Giorgia Callegaro
Associate Professor
Department of Mathematics - University of Padova
Via Trieste 63 , I-35121 Padova - ITALY
Tel: +39-0498271481 Fax: +39-0498271499
E-Mail: gcallega(a)math.unipd.it
<https://webmail.math.unipd.it/horde3/imp/message.php?mailbox=Sent&index=598#>
Personal web-page: https://sites.google.com/site/giogiocallegaro/Home
Dear All,
I am forwarding the announcement below, which may be of interest to young
researchers in the applied probability community.
Best wishes
Tiziano
*-------------------------3 POSTDOCTORAL FELLOWSHIPS IN MODELING AND
ENGINEERING RISK AND COMPLEXITY (MERC) AVAILABLE AT THE SSM-SCHOOL FOR
ADVANCED STUDIES OF THE UNIVERSITY OF NAPLES (Call no. MERC_021_01)*
The call for applications for three postdoctoral fellowships in Modeling
and Engineering Risk and Complexity iat the SSM-School for Advanced Studies
of the University of Naples is now available at:
http://www.ssm.unina.it/en/postdoctoral-fellowships-calls-and-procedures/
The research programme will focus on the development of new methodological
approaches for the study, management and control of complex systems, the
design and engineering of resilient systems and the analysis and management
of risks (natural, anthropogenic, industrial and na-tech) and cascading
effects. The programme focuses on the integrated description and
management of phenomena affecting complex systems and the risks to which
they are exposed, in different application domains, through the use of
methods for mathematical, stochastic, computational and data-driven
modelling.
The programme should be characterised by a strongly multi- and
inter-disciplinary approach, based on the theory of dynamical systems and
control, the study of complex systems, infrastructures and networks, the
theory of reliability for the modelling of uncertainty, the analysis and
management of risks deriving from natural and anthropic phenomena on
complex and interdependent systems and the study of their emerging
properties and domino and cascade effects.
The candidate's activity should lie in at least one of the following three
multidisciplinary research areas
(i) modelling, analysis and control of non-linear, uncertain, complex and
multi-agent systems
(ii) stochastic modelling and reliability theory
(iii) Modelling and analysis of natural, Na-Tech, man-made and industrial
hazards.
The winners will carry out their research at the Scuola Superiore
Meridionale of the Università degli Studi di Napoli Federico II in close
collaboration with the research groups already involved in the activities
of the PhD students active there. They will also be required to engage in
the teaching and tutoring activities of the School, by either giving
courses at PhD level or undergraduate level for the students of the School.
Each fellowship is 1 year long (renewable up to 3 years) with a yearly
gross salary of EUR 35,000.
*Deadline for applications: 31st July 2021 at 2pm CET.*
For any further information you can check the related PhD program website
at
http://www.ssm.unina.it/en/modeling-and-engineering-risk-eng-and-complexity…
or contact us via email at merc(a)unina.it <https://mailto:merc@unina.it>
*** Apologize for cross-posting ***
On *July 14 at 17:00, Matteo Brachetta* (Department of Mathematics, Politecnico
di Milano
<https://scholar.google.com/citations?view_op=view_org&hl=it&org=39070900387…>)
will give a virtual seminar “in Insubria & Bicocca”, to which you are all
invited. You can find the title and abstract below.
Title: *Optimal Public Debt Management*
Abstract:
Public debt management is one of the most relevant topics in Economics,
especially after economic crises due to wars, pandemics or economic
recession. We discuss a class of debt management problems in a stochastic
environment model. We propose a model for the Debt-to-GDP ratio where the
government interventions (via fiscal policies) affect the public debt and
the GDP growth rate at the same time. We allow for a stochastic interest
rate on debt and possible correlation with the GDP growth rate. Indeed,
both the interest rate and the GDP growth depend on a stochastic factor,
which may represent any relevant macroeconomic variable, such as economic
conditions. Moreover, shocks on debt and GDP can be correlated. We tackle
the problem of a government whose goal is to determine the fiscal policy
(quantity of surplus or deficit) in order to minimize a general functional
cost. We prove that the value function is a viscosity solution to the
Hamilton-Jacobi-Bellman equation and provide a Verification Theorem based
on classical solutions. Then we discuss two applications, namely debt
reduction and debt smoothing, providing explicit results.
The seminar will be on *Zoom*. You can find the information to join below.
Speaker: Matteo Brachetta
Topic: Optimal Public Debt Management
Time: July 14, 2021, 17:00 Rome
Where: Zoom
Link:
https://us02web.zoom.us/j/84293514055?pwd=eFJSQitDTzZ0QUtsMUUzSlh0ZW43Zz09
ID riunione: 842 9351 4055
Passcode: jB3XTr
After the talk, you are all invited to remain in the meeting for an
informal aperitif and chat.
Please forward to anyone interested.
Kind regards,
Emanuela Rosazza Gianin and Elisa Mastrogiacomo
Dear Colleagues,
a research fellowship is available at the Department of Statistics of the University of Bologna. Candidates must submit a reasearch project on one of the following topics: Stochastic differential equations, Copulas, Optimal transport, Multivariate dependence, Conditional expectations and their asymptotic behavior, Dynamic models (with time or space-time evolution) in economics, Computational and statistical methods for asset pricing and risk management, Interval analysis and multi-dimensional copulas, Application of special functions to probabilistic and financial models, Rough volatility models, Financial instruments for investment valuation.
Deadline for application: July 7th 2021
Details and call for applications can be found at
https://bandi.unibo.it/ricerca/assegni-ricerca?id_bando=53471
Best Regards
Sabrina Mulinacci
Dear colleagues,
the Technical University of Vienna <https://www.tuwien.at/en/> is
advertising a *tenure-track* *position in probability* (main focus:
probabilistic methods in mathematical physics and related areas). The
(earliest) starting date is March 1^st , 2022. The successful candidate
will become member of the Mathematical Stochastics group, that I have
been heading since 2020.
I would be grateful if you could forward this message to any suitable
candidates (the application deadline is *September 9th, 2021*).
Applications can be submitted online via this link
<https://jobs.tuwien.ac.at/Job/153800>.
Candidates are encouraged to contact me
<https://toninellifabio.wixsite.com/homepage>
(fabio.toninelli(a)tuwien.ac.at) directly for any question related to this
position.
With best wishes and many thanks
Fabio Toninelli
--
Prof. Dr. Fabio Toninelli
Technical University of Vienna
Institut für Stochastik und Wirtschaftsmathematik
Wiedner Hauptstrasse 8-10, 1040 Wien, Austria
Office: 6th floor, green area. tel: +43-1-58801-10570
https://toninellifabio.wixsite.com/homepage
Dear All,
we would like to inform you that *2 research grants (type B)* are
available in the *Department of Statistical Sciences **at the
**University of Padua*.
*Deadline for application*: July 28th 2021
The Department will select innovative and excellent research projects
proposed by young independent scholars within the framework of the
Project of Excellence “Statistical methods and models for complex data”
in the scientific sectors of interest to the Department of Statistical
Sciences.
The selection is open to PhD graduates who have completed suitable and
documented academic and professional experience and that have carried
out at least one year of post-doctoral research activity.
Details can be found at:
https://www.stat.unipd.it/bando-2-assegni-di-ricerca-tipo-b-selection-annou…
Best regards,
--
Ufficio Ricerca Dipartimento di Scienze Statistiche
Università degli Studi di Padova
Via Cesare Battisti 241 - 35121 Padova
tel. +39 049 8274125 / +39 049 8274167
www.stat.unipd.it
Dear Colleagues,
We would like to invite you to the following Probability seminar
that will take place on July 9 at 14.30 by the zoom platform.
________________________________________________________
Speaker: Wioletta Ruszel (University of Utrecht)
Title: Local central limit theorem and potential kernel estimates for a
class of symmetric heavy-tailed random variables.
09 JULY (Friday) - 14:30 zoom link: TBA
available on the webpage https://www.math.unipd.it/~bianchi/seminari/ )
Abstract: In this talk we will discuss stable local limit theorems and
potential kernel estimates. In particular we consider a class of
heavy-tailed random variables on Z in the domain of attraction of an
-stable random variable of index \alpha \in (0, 2) satisfying a certain
expansion of their characteristic function expansion. Our results include
sharp convergence rates for the local (stable) central limit theorem, a
detailed expansion of the characteristic function of a long-range random
walk with transition and detailed asymptotic estimates of the discrete
potential kernel. This is joint work with Leandro Chiarini (UU) and Milton
Jara (IMPA) and is based on arXiv.com/2101.01609.
--
Alessandra Bianchi
Dip. di Matematica
Università di Padova
Via Trieste, 63 - 35121 Padova, Italy
phone: +39 049 827 14 06
fax: +39 049 827 14 28
e-mail: bianchi(a)math.unipd.it
http://www.math.unipd.it/~bianchi/
* Apologise for cross-posting *
Dear Colleagues,
I would like to inform you that a post-doc in Statistics is available in the Department of Statistics, Computer Science, Applications at the University of Florence, under the supervision of Prof. Monia Lupparelli and Prof. Francesco C. Stingo.
Deadline for application: July 12th 2021
Starting date: November 1st 2021
Research topic: Bayesian model search for profile undirected graphical models
The research project aims to develop a graphical modelling approach to study the effect that a risk factor may have on a set of random variables and on their joint dependence structure. This issue could be partially addressed by using chain graph or multiple graph models: the first method ignores how the dependence structure may vary under different profiles defined by the external factor, the second does not account for the effect of the factor on single variables. The research should develop a class of profile graphical models to fill the gap between the existent graphical approaches. As far as inference is concerned, model selection represents a crucial aspect since compatibility constraints for the model identifiability need to be considered. The idea is to implement Bayesian stochastic search approaches for the selection and inference of discrete profile graphs, both for moderate and high dimensional data. The proposed methodology will be applied to biomedical data.
Details can be found at
https://bandi.miur.it/bandi.php/public/fellowship/id_fellow/192962 <https://bandi.miur.it/bandi.php/public/fellowship/id_fellow/192962>
and
https://titulus.unifi.it/albo/viewer?view=files%2F004108400-UNFICLE-701729a… <https://titulus.unifi.it/albo/viewer?view=files/004108400-UNFICLE-701729a1-…>
Best Regards,
Monia Lupparelli
-----------------------------------------
Monia Lupparelli, PhD
Department of Statistics, Computer Science, Applications
University of Florence
Viale Morgagni 59, 50134 Florence, IT
Phone +39 055 2751579
Cari colleghi,
insieme ad altri ricercatori da molti anni sviluppiamo un editor di testi scientifici (e non) che si chiama TeXmacs (www.texmacs.org) e che permette di scrivere articoli, preparare presentazioni, etc.. rimpiazzando l'uso dei vari sistemi basati su TeX con un'interfaccia più sintetica e moderna. TeXmacs non è basato su TeX ma può esportare i documenti in vari formati, tra cui HTML, PDF o appunto (La)TeX.
Il software è libero, parte del progetto GNU (per chi conosce questa iniziativa e i suoi scopi) e compatibile con Mac, Windows e i vari sistemi Linux. È un sistema che per molti di noi è diventato uno strumento di uso quotidiano, sia nella didattica (sopratutto in questo periodo di insegnamento a distanza) che nella ricerca e nella produzione di documentazione scientifica: articoli, tesi, libri.
Da poco abbiamo rilasciato la versione 2.1 che rappresenta il consolidamento del nostro lavoro dell'ultimo decennio e all'occasione cerchiamo di fare un po' di pubblicità all'iniziativa per favorirne la diffusione. In particolare abbiamo prodotto un corto video di presentazione (~4 min) che riassume le caratteristiche salienti del sistema:
https://www.youtube.com/watch?v=H46ON2FB30U
In rete trovate anche varie risorse di informazione: un sito web dove scaricare il programma, un forum e delle liste di diffusione. Per maggiori dettagli faccio seguire il messaggio ufficiale in inglese.
Sperando che questa iniziativa possa essere di interesse e utile,
vi porgo cordiali saluti,
Massimiliano Gubinelli
--------------------------------------------------------------------
Dear colleague,
We are happy to announce the release of GNU TeXmacs 2.1,
a free scientific office suite that you may download from
https://www.texmacs.org
The core of the system is a what-you-see-is-what-you-get
structured text editor with support for mathematical formulas.
For a short overview, you may watch the following video (3 min 40):
https://www.youtube.com/watch?v=H46ON2FB30U
TeXmacs is unique in its ability to produce documents with
the highest typographical quality using a user friendly interface.
The software also comes with an integrated presentation tool,
a picture editor, version control, a bibliography tool,
interfaces to various mathematical computation systems,
and much more... GNU TeXmacs is not based on TeX/LaTeX,
but comes with high quality converters from and to LaTeX,
as well as Html/MathML/MathJax.
In order to get started with TeXmacs, we recommend that
you watch one or more of our introductory videos:
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The software provides integrated documentation and a manual
that can be downloaded from
https://www.texmacs.org/tmweb/help/book.en.html
A new book about TeXmacs is available here:
https://www.scypress.com/book_info.html
For further questions, don't hesitate to ask on one of
our mailing lists or on the TeXmacs forum.
With our best regards,
The TeXmacs team