Inoltro a tutti gli interessati il seguente annuncio (la posizione è quella
attualmente occupata da Wolfgang Woess).
********************************************************************************
Full professor "Discrete Mathematics and Probability", TU Graz
TU Graz is looking to appoint a tenured full professor of Discrete
Mathematics and Probability, starting October 2022. We are looking for a
highly qualified individual of international standing who has an excellent
research profile and is committed to represent the intersection of
Discrete Mathematics and Probability in both teaching and research.
For more information please see the web apge
https://www.tugraz.at/go/professorships-vacancies. Applications must be
sent to the email address bewerbungen.mpug(a)tugraz.at no later than March
31, 2021.
---------------------------------------------------------------------
Johannes Wallner Tel (+43) 316 873 8440
Institut fuer Geometrie der TU Graz,
Kopernikusgasse 24, 8010 Graz.
j.wallner(a)tugraz.at http://www.geometrie.tugraz.at/wallner
--------------------------------- ------------------------------------
WEBINARS IN STATISTICS @ COLLEGIO CARLO ALBERTO
<https://www.carloalberto.org/events/category/seminars/seminars-in-statistic…>
Joint initiative with
MIDAS COMPLEX MODELING RESEARCH NETWORK <http://midas.mat.uc.cl/network>
Giovedi 17 Dicembre 2020, alle ore 17:00, si terrà il seguente webinar:
------------------------------------------------
Speaker: *David Rossell *(Universitat Pompeu Fabra, Barcelona, Spain)
Title: *Approximate Laplace approximation*
Zoom link:
https://us02web.zoom.us/j/84312531120?pwd=VVJraStLVkR2M0w0ZXZnU3M0MFp2UT09
<https://us02web.zoom.us/j/88252069649?pwd=V2Z3b1UrZVVWNWZ4OXhydUtIakxpUT09>
Meeting ID: 843 1253 1120
Passcode: 105560
Abstract:
Bayesian model selection requires an integration exercise in order to
assign posterior model probabilities to each candidate model. The
computation becomes cumbersome when the integral has no closed-form,
particularly when the sample size is large, or the number of models is
large. We present a simple yet powerful idea based on the Laplace
approximation (LA) to an integral. LA uses a quadratic Taylor expansion at
the mode of the integrand and is typically quite accurate, but requires
cumbersome likelihood evaluations (for large n) an optimization (for large
p). We propose the approximate Laplace approximation (ALA), which uses an
Taylor expansion at the null parameter value. ALA brings very significant
speed-ups by avoiding optimizations altogether, and evaluating likelihoods
via sufficient statistics. ALA is an approximate inference method equipped
with strong model selection properties in the family of non-linear GLMs,
attaining comparable rates to exact computation. When (inevitably) the
model is misspecified the ALA rates can actually be faster than for exact
computation, depending on the type of misspecification. We show examples in
non-linear Gaussian regression with non-local priors, for which no
closed-form integral exists, as well as non-linear logistic, Poisson and
survival regression.
------------------------------------------------
Il webinar è organizzato dalla "de Castro" Statistics Initiative
www.carloalberto.org/stats
in collaborazione con il Collegio Carlo Alberto e rientra nel Complex Data
Modeling Research Network
midas.mat.uc.cl/network
Cordiali saluti,
Pierpaolo De Blasi
---
University of Torino & Collegio Carlo Alberto
carloalberto.org/pdeblasi
<https://sites.google.com/a/carloalberto.org/pdeblasi/>
Dear colleagues,
I’d like to draw your attention to the following open positions (one PhD and one Post-Doc) in Berlin. Please, feel free to forward this announcement to anyone who might be interested.
"The Weierstrass Institute in Berlin (WIAS) invites applications for a two positions, one at post-doctoral level and one for a PhD student. Both positions are in the newly founded Leibniz Junior Research Group “Probabilistic Methods for Dynamic Communication Networks” (Head: Dr. B. Jahnel); the positions are available immediately.
The successful candidates will perform rigorous probabilistic and analytic mathematical work on dynamical spatial random geometric systems as models for future telecommunication networks, in collaboration with other group members and partners at WIAS, in industry and in academia. The research results shall be published in scientific journals and technical reports, and presented at conferences.
The applicants must at a minimum hold a master’s degree in mathematics or related fields with high emphasis on probability. For the post-doctoral position a PhD in mathematics should be completed or very close to completion. Knowledge in statistical physics, interacting particle systems, or stochastic geometry will be important.
Please direct scientific queries to Dr. B. Jahnel (Jahnel(a)wias-berlin.de <mailto:Jahnel@wias-berlin.de>).
The appointment is initially limited for 24 months. The work schedule is 39 hours per week, and the salary is according to the German TVoeD scale.
Please see the following links for more information and in order to apply: https://short.sg/j/8332092 <https://short.sg/j/8332092> (post-doc) and https://short.sg/j/8331747 <https://short.sg/j/8331747> (PhD).
Please note that the deadline for applications is 31 December.”
Best wishes,
Luisa Andreis
Post-Doc researcher
WIAS-Weierstrass Institute
Mohrenstrasse 39, 10117 Berlin, Germany
Personal webpage: https://sites.google.com/view/luisaandreis/home <https://sites.google.com/view/luisaandreis/home>
Email: andreis(a)wias-berlin.de
Diffondo su richiesta del collega Bernardo D'Auria un annuncio di posti per:
Assistant Professor positions (tenure-track) in the Department of
Statistics,
Universidad Carlos III de Madrid
scadenza: 28 febbraio 2021
per dettagli: http://halweb.uc3m.es/seminarios/conv-tenure-track.pdf
Cordiali saluti
=============================================
Antonio Di Crescenzo
Dipartimento di Matematica
Università degli Studi di Salerno
Via Giovanni Paolo II, n. 132
<https://maps.google.com/?q=Via+Giovanni+Paolo+II,+n.+132+%0D%0A84084+Fiscia…>
84084 Fisciano (SA)
Italy
Tel. +39-089-963349
E-mail(1): adicrescenzo(a)unisa.it
E-mail(2): adicresc(a)gmail.com
Web: http://www.unisa.it/docenti/antoniodicrescenzo/index
Skype: antoniodicrescenzo
=============================================
Segnalo con piacere questa opportunità di postdoc a Bath.
Vittoria
---------- Forwarded message ---------
Da: Daniel Kious <dk746(a)bath.ac.uk>
Date: lun 14 dic 2020 alle ore 23:11
Subject: Postdoctoral position in Probability at the University of Bath
To: d.kious(a)bath.ac.uk <
IMCEAEMAIL-+20d+2Ekious+40bath+2Eac+2Euk(a)gbrp265.prod.outlook.com>
Dear Colleagues and Friends,
I would greatly appreciate if you could bring the following announcement to
the attention of the relevant applicants.
A postdoctoral position in Probability is open at the University of Bath.
The position is for two years, starting 1 July 2021, and the successful
applicant will work with Dr Daniel Kious, on topics related to random walks
and random environments. Please, find the full announcement at the end of
this email.
Applications are open and the deadline is 11 January 2021, see:
https://www.bath.ac.uk/jobs/CC8004
In order to have the best chances, the applicants should provide the
following:
-an updated CV;
-a list of publications;
-a short research statement;
-the names of two referees who agreed to write a letter of support, and one
of them must be the current employer or a past employer.
Best wishes,
Daniel Kious.
-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_
-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_
-
A postdoctoral research position is available in the area of probability to
start 1 July 2021. The position is available for 2 years and is funded by
the EPSRC grant "Random walks in dynamic random environment" of Daniel
Kious.
You will be associated with the probability laboratory (Prob-L@B
<https://www.bath.ac.uk/research-centres/probability-laboratory-at-bath/>)
of the Department of Mathematical Sciences
<https://www.bath.ac.uk/departments/department-of-mathematical-sciences/>
at the University of Bath. Prob-L@B is one of the largest probability group
in the UK and benefits from a very active and collaborative team, with
expertise covering many areas of Probability, cultivating a high-level and
friendly atmosphere. The successful applicant will be expected not only to
work on the project, but also to interact with the other members of
Prob-L@B.
The area of research will be centred on the mathematical analysis of random
walks in random environment or dynamic random environment, reinforced
random walks or other processes with reinforcement, percolation, spin
systems.
The ideal candidate is expected to have a strong background in discrete
probability theory, and have (or expect to obtain shortly) a PhD in
Probability, or related areas.
Our campus is surrounded by beautiful countryside, and the City of Bath
with its historic charm and social activity only a short distance away
creates an excellent environment in which to work. We encourage all staff
to learn, develop new skills and progress their careers throughout their
employment with us and believe our staff
<https://www.bath.ac.uk/jobs/display.aspx?id=1091&pid=221#section3> are
vital in creating the University’s inclusive and innovative community. We
are committed to providing a family friendly workplace
<https://www.bath.ac.uk/campaigns/family-friendly-workplace/> and our staff
have access to a number of services that promote wellbeing
<https://www.bath.ac.uk/topics/wellbeing/> and improve work-life balance.
We recognise the commitment, achievements and talents of our workforce
through our offering of initiatives and benefits
<https://www.bath.ac.uk/professional-services/pay-and-reward>, including
(but not limited to):
- Generous employer pension contributions
- 39 days holiday (annual leave, discretionary days and bank holidays)
- A flexible working environment
- A commitment to personal and professional development
- Ofsted outstanding rated onsite nursery
- Salary exchange scheme (cycle to work)
- Onsite private and NHS dentist, onsite medical centre
- Employee discount scheme
We aim to be an inclusive university, where *difference is celebrated*,
respected and encouraged. We truly believe that diversity of experience,
perspectives, and backgrounds leads to a better environment for our
employees and students, creating a learning environment and
organisational *culture
that enhances **health and wellbeing*
<https://www.bath.ac.uk/topics/wellbeing/> across our community. We are
very proud to have recently received Ambassadors for Autism certification
<https://www.bath.ac.uk/announcements/university-receives-ambassadors-for-au…>
and are an accredited Disability Confident Leader; committed to building
disability confidence and supporting disabled staff
<http://www.bath.ac.uk/hr/working/disability-support/index.html>.
-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_
-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_
-
Dr Daniel Kious
University of Bath - Prob-L@b
email: d.kious(a)bath.ac.uk
Office: 6 West 1.23
Phone: 01225 38 6186
********************************
Vittoria Silvestri
Assistant Professor
Department of Mathematics
University "La Sapienza"
Piazzale Aldo Moro, 5
00185 - Rome
********************************
---------- Forwarded message ----------
Date: Mon, 14 Dec 2020 00:41:25 +0100
From: Pelizzari Cristian <cristian.pelizzari(a)unibs.it>
To: Tiziano Vargiolu <vargiolu(a)math.unipd.it>
Subject: Webinar of Prof. Hinz at UNIBS, Department of Economics and Management
Ciao Tiziano,
ti chiedo la cortesia di diffondere questo avviso di seminario ai tuoi
canali. Ho gi? spedito questa e-mail al Segretario Generale dell'A.M.A.S.E.S..
Mi scuso per la scadenza ravvicinata.
Grazie e a presto,
Cristian
***
Dear Colleagues,
on December 17th, 2020 - 11:30 (CET),
as part of the Research Seminars at the Department of Economics and
Management, University of Brescia, the following webinar will take place:
On Optimal Planning of Double-Spending Attacks
presented by Prof. Juri Hinz, University of Technology Sydney, and organized
by Prof. Paolo Falbo and Prof. Cristian Pelizzari
Abstract
Diverse concepts originating from the blockchain idea have gained
popularity. However, there is concern about stability of such systems. In
this setting, an attempt to spend the digital funds more than once (the
so-called double-spending attack) has been analyzed by several authors. The
present contribution addresses a refinement to this problem under realistic
assumptions.
Live presentation on: Google Meet.
To participate, registration is required by filling out the following form:
https://docs.google.com/forms/d/e/1FAIpQLSd3_vL6Rzi7rNf7FiburuLBjC1cc32oA4U
SHdQDaivS9_cB5w/viewform
Subscribers will be e-mailed the link to the webinar meeting.
***
--
Associate Professor of Mathematical Methods
of Economics, Finance and Actuarial Sciences
Department of Economics and Management
University of Brescia
Contrada S. Chiara, 50
25122 BRESCIA BS
ITALY
E-mail cristian.pelizzari(a)unibs.it
Tel. 0039-030-2988516
Microsoft Teams contact
Informativa sulla Privacy: http://www.unibs.it/node/8155
Forwardo anche questo con piacere...
GPST
> Begin forwarded message:
>
> From: Arnoldo Frigessi <arnoldo.frigessi(a)medisin.uio.no>
> Subject: Two-year Postdoc in Statistics for COVID-19 modelling, Oslo, Norway
> Date: 13 December 2020 at 22.15 GMT+1
> To: DipIMAP <scaliato(a)axp.mat.uniroma2.it>
>
> Two-year Postdoctoral Position in Statistics for COVID-19 modelling, Oslo, Norway
>
> The postdoc will develop new statistical methodology and models to describe and predict the dynamics of the COVID-19 pandemics in Norway and across the Nordic countries. This is part of a new exciting Nordic collaboration project financed by NordForsk with Tom Britton, Stockholm University, Arnoldo Frigessi, Oslo University and Lasse Leskelä, Alto University as co-PIs. If you are selected as postdoc, you will work in close collaboration with the three Nordic teams. We will work on the covid-19 dynamics in space and type, also across the Nordic borders; we will exploit human mobility data in real time described by telecom mobility data; develop methods for probabilistic short term prediction; evaluate and compare alternative interventions. The project has unique access to COVID-19 data streams. There is a possibility to extend the period for an additional year. You can find some more information here: https://nordicmathcovid.cs.aalto.fi
>
> The postdoc will be employed at the Oslo Centre for Biostatistics and Epidemiology, University of Oslo. You have a strong competence in statistical modelling and inference and have excellent skills in coding.
>
> This is a unique project, with multiple opportunities also to develop your own research themes, building your curriculum towards a tenure track/permanent position in a leading university.
>
> To apply, and for more details on the positions, see here: https://www.jobbnorge.no/en/available-jobs/job/196535/2-year-postdoctoral-p…
>
> Deadline: 11th January 2021
>
> We offer
> * Salary up to 55.000 Euro per annum depending on qualifications.
> * A career development programme designed for researchers at the beginning of their career.
> * Health insurance and very attractive "Scandinavian" welfare benefits.
> * A generous pension agreement.
> * Oslo's family-friendly environment with its rich opportunities for culture and outdoor activities.
>
> Arnoldo Frigessi