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18th of December 2015
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Vacancies

 

A job advertisement on the website of the VvS+OR is free. Please submit your job advertisement via e-mail to our webmaster () or fill out the following form: click here. The standard format for an advertisement or an announcement is a text up to 650 characters, including an hyperlink to the full text on the website of the client. Your ad will be placed within 3 working days and remain on the site for at least 3 months. The announcement or advertisement will also be send at least once with the VvS+OR mailing list. If the format is a problem, please contact the .

 

Job Advertisements:

 

  • Currently there is one cross-departmental vacancy (at the level of the Management School) advertised:
     
    A2119 - Chair in Healthcare Management
    Salary: Professorial minimum £63,836 
    Closing date: 13 Dec 2017
    More information: https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A2119 
     
    Vacancies in the Department of Management Science can be found at https://hr-jobs.lancs.ac.uk/vacancies.aspx?type=6&cat=274 .
     
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    Medical/Clinical Statistician - London We are recruiting for many medical/clinical statisticians in London, UK. Ideally applicants should have experience in handling Real World/Patient Data. Additionally, Candidates should have previous experience with SAS / R / Stata. I'm keen on speaking with individuals of various abilities and experience. Please email me on Scott.Upward@yoh.com

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    PhD student Modelling food safety at Wageningen University & Research, Biometris: You will design new statistical safety assessment methodology, as an alternative to current regulatory risk assessment procedures. You will apply multivariate statistical modelling for the assessment of the safety of novel potato varieties based on transcriptomics and metabolomics data. The methodology will be based on comparing broad-spectrum ?omics measurements for the potato variety to be tested with measurements for classically bred varieties using new and optimized statistical methods. The candidate will work in the Biometris department of Wageningen University & Research, and there will be collaboration with the department of Plant Breeding and the RIKILT Institute for Food Safety. Requirements: You have an MSc in statistics, mathematics, quantitative biology or any other direction with a strong quantitative component. You have good programming skills. You like to work in the area between biology and (multivariate) statistics. You can work in multi-disciplinary teams and have good oral and written communication skills. See https://www.academictransfer.com/employer/WUR/vacancy/42949/lang/en/

     

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    The Department of Mathematical Sciences at the University of Bath is a leading UK department in both research and teaching, with a large, diverse, and vibrant academic staff, and a culture of inter-? and intra-?‐disciplinary collaboration. We host the successful EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa) which bolsters the department?s recruitment of talented doctoral students. In a concerted effort to enhance and broaden our strength in Statistics and related fields, we are seeking ambitious people with an outstanding track record of independent research of international standing who will build on existing departmental strengths, or expand our research into new areas of statistics and data science. We particularly welcome applications in genetics and evolution, public health, operational research, machine learning, and uncertainty quantification. An additional position in Applied Mathematics complements this effort. Professor(s):http://www.bath.ac.uk/jobs/Vacancy.aspx?ref=SF5136 Lecturer/SL/Reader (Assistant/Associate Professor) http://www.bath.ac.uk/jobs/Vacancy.aspx?ref=SF5137 There is also a related Applied Mathematics Lecturer position at http://www.bath.ac.uk/jobs/Vacancy.aspx?ref=SF5138 The deadline for application is the 16th October. Best Wishes Ilaria Prosdocimi

     

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    Vacancy: VUmc is looking for a statistician
    The department of Epidemiology and Biostatistics of VU University Medical Center (VUmc) is looking for a statistician to join their team. The statistician will conduct methodological research, advice medical researchers on the appropriate statistical methods for their research and take part in the educational activities of the department. Application deadline is 10 October 2017. For details, see: https://www.werkenbijvumc.nl/vacatures/statisticus/

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    In the framework of an ITN Marie Curie, in collaboration with Philips Eindhoven, we are looking for an early stage researcher in the field of machine learning / statistics for health informatics:
    - ESR2 - Scalability of data analytics

    The Candidate will be located at Leuven, but there is an intensive program of secondments on locations abroad (including Fudan university (China), Philips Eindhoven (Netherlands) & University of Macerata (Italy). For more information and the procedure for application, we refer to http://ricerca.unimc.it/en/heart There are also other interesting vacancies on e.g. data processing.
    Deadline for application 14/10

    We are welcoming candidates with a technical background on statistics or machine learning and with a high interest in the development of an engineering application.

     

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    An opportunity has arisen for a talented statistician with an interest in methodology development to join Dr Paul Newcombe's group at the MRC Biostatistics Unit, Cambridge University. In a recent trend "meta-GWAS", comprising tens of thousands of people, have boosted the power of genetic association studies. However, the availability of many correlated genetic variants as well as the logistics of sharing data on such a large scale presents analytical challenges and typically variants are only analysed one-at-a-time. This complicates interpretation and the ability of "fine-mapping" efforts to identify a small set of variants for functional follow-up. The proposed initial project will focus on developing novel statistical methods to extract better inference from the increasing wealth of publicly available meta-GWAS results. Methods will be developed and tested using real life datasets, in particular a collaboration with Dr Zsofia Kote-Jarai's group at the Institute of Cancer Research (Sutton) to explore genetic drivers of prostate cancer risk. This post offers an exciting opportunity to work alongside and build collaborative relationships with world-leading researchers, while addressing cutting-edge research questions in rich and real datasets. There will be opportunities to lead projects as well as publish papers as a first author in high quality peer-reviewed journals.

    Dr Paul Newcombe's group was formed with the broad aim of developing statistical methods for the analysis of genomic data to improve understanding of common diseases and disease traits in humans. In addition to the proposed project above, there is scope for work on a range of other topics and the post holder will be encouraged to develop other research interests relevant to the goals of the group. For more information about Dr Paul Newcombe's research see: https://www.mrc-bsu.cam.ac.uk/people/in-alphabetical-order/n-to-s/paul-newcombe/. The MRC Biostatistics Unit (https://www.mrc-bsu.cam.ac.uk), located in Cambridge and now part of the University, undertakes research on statistical methods and their application to the design, analysis and interpretation of biomedical studies, to advance understanding of the cause, natural history and treatment of disease, and to evaluate public health strategies. It is the largest grouping of statisticians in Europe and offers an excellent environment in which to develop a career.

    By the time they take up the appointment, the successful applicant will have a PhD (or equivalent) in a strongly quantitative subject, ideally statistics. Experience of Bayesian methodology and, in particular, approaches to variable selection/sparse regression would be desirable. An understanding of genomics would be advantageous but not essential; full training will be given on the basic concepts necessary to the post. Most important are an inquisitive mind and the desire to develop and apply statistical methodology to questions of substantive biological importance and disease relevance. The successful applicant will be supported in their career development with a range of formal courses and on-the-job training.

    This post is a fixed-term 3 year training programme.

    To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

    Please ensure that you upload a covering letter and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

    The closing date for applications is Wednesday 25th October 2017. Interviews are likely to be held on Monday 6th November 2017.

    For an informal discussion about this post please contact paul.newcombe@mrc-bsu.cam.ac.uk

    Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

    Please quote reference SL13272 on your application and in any correspondence about this vacancy.

    The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

    See also http://www.jobs.cam.ac.uk/job/14941/

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    The Department of Epidemiology and Biostatistics of the Netherlands Cancer Institute in Amsterdam is looking for a statistician with a mathematical background who has the ambition to pursue a PhD in Biostatistics and develop new biostatistical methods for application in cancer research. Start date is on or before Jan 1, 2018. Application deadline is Sep 20, 2017. For details, see https://www.nki.nl/working-at-the-nki/phd-student-biostatistics

     

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    Tenure Track Assistant Professor positions at Delft Institute of Applied Mathematics. Candidates with background in statistics and / or probability theory are encouraged to apply!  For more information on the research groups in statistics and probability theory, see https://www.tudelft.nl/en/eemcs/the-faculty/departments/applied-mathematics/statistics/

    https://www.tudelft.nl/en/eemcs/the-faculty/departments/applied-mathematics/applied-probability/

    https://vacature.beta.tudelft.nl/vacaturesite/permalink/598109/?lang=en

     

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    Postdoc in statistics/machine learning (4 years, full-time)

    As part of the Consolidator Grant project (PI: Jelte Wicherts) Innovative Methods for Psychology: Reproducible, Open, Valid, and Efficient (IMPROVE)
financed by the European Research Council (ERC), we are looking for a Postdoc in statistics/machine learning (4 years, full-time)

     

    Project description

    With numerous failures to replicate, common misreporting of results, widespread failure to publish non- significant results or to share data, and considerable potential bias due the flexibility of analyses of data and researcher’s tendency to exploit that flexibility, psychological science is said to experience a crisis of confidence. The goal of this postdoc project is to counter the biasing effects of common explorations of data (p-hacking) by developing new statistical and machine-learning approaches to analyse data from psychological research.

     

    Responsibilities

    The postdoc will be expected to:

    Develop, refine, and disseminate state-of-the-art methods to analyse psychological data using differential privacy and related holdout sample methods Contribute to education on methodology and statistics Supervise PhD students Publish articles in peer-reviewed journals Cooperate in an international network of researchers Visit international conferences Write grant proposals

     

    Job requirements and qualifications

    Expertise in statistics, machine learning, differential privacy, and holdout sample methods Fascination for reproducibility and replicability and an interest in psychological research Ambition to improve rigor of the social and behavioral sciences A (nearly completed) PhD-degree in data science, econometrics, psychometrics, sociometrics, machine learning, (bio)informatics, or (applied) statistics A promising early career track record in statistics/machine learning as evidenced by (inter)national peer review publications. Social skills to engage in an (inter)national network of collaborators

     

    Terms of employment
    Tilburg University is among the top of the Dutch employers and has an excellent policy concerning terms of employment. The collective employment terms and conditions for Dutch universities will apply. The appointment  in the position of researcher (UFO profile researcher 3) at Tilburg University begins with a period of 12 months. Continuation of the appointment with another 36 months will be based on performance evaluation.

     

    Depending on the candidates’ experience, the full-time salary for the postdoc position on a full-time basis ranges between € 3475 and € 4757 gross per month based on scale 11 of the Collective Labour Agreement (CAO) Dutch Universities (not included are various allowances). Researchers from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary. The university will apply for such an allowance on their behalf. The university offers very good fringe benefits, such as an options model for terms and conditions of employment and excellent reimbursement of moving expenses.

     

    Applications and information

    Additional information about Tilburg University and the Department of Methodology and Statistics (MTO) can be retrieved from: www.tilburguniversity.edu. Information on the meta-research center can be found on http://metaresearch.nl.  Specific information about the vacancy can be obtained from prof. dr. J. M. Wicherts, tel. +31-13-4663215, email: . Applications, including a curriculum vitae and a letter of motivation should be sent before June 25, 2017 Hans-Georg van Liempd MSc, Managing Director Tilburg School of Social and Behavioral Sciences, Tilburg University (only by using the link below). Preferred start date is 1 september 2017 at the latest. The interviews will take place beginning of July 2017.

     

    Tilburg School of Social and Behavioral Sciences

    Tilburg School of Social and Behavioral Sciences (TSB) is a modern, specialized university. The teaching and research of the Tilburg School of Social and Behavioral Sciences are organized around the themes of Health, Organization, and Relations between State, Citizen, and Society. The Schools inspiring working environment challenges its workers to realize their ambitions; involvement and cooperation are essential to achieve this.

    Tilburg School of Social and Behavioral Sciences

     

    Department of Methodology and Statistics

    The Department of Methodology and Statistics is responsible for the teaching and the research in the area of methodology and statistics for the social and behavioral sciences. The department is a member of the national graduate school Interuniversity Graduate School for Psychometrics and Sociometrics (IOPS) and houses the successful Meta-Research Center that aims to improve the rigor of social and behavioural science through innovative research.

     

    Recruitment code
    Tilburg University applies the recruitmentcode of the Dutch Association for Personnel Management & Organization Development (NVP).

     

    Disclaimer
    The text of this vacancy advertisement is copyright-protected property of Tilburg University. Use, distribution and further disclosure of the advertisement without express permission from Tilburg University is not allowed, and this applies explicitly to use by recruitment and selection agencies which do not act directly on the instructions of Tilburg University. Responses resulting from recruitment by non-contractors of Tilburg Universities will not be handled.

     
     
     
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    PhD program in Statistics and Mathematical Finance (University of Milano-Bicocca) is available at the PhD web site: http://www.unimib.it/go/243995352

    Deadline for application is on the 3rd of July (12.00 a.m. Italian local time)

    The PhD  program offers two curricula: 
    1) Statistics; 
    2) Mathematical Finance.

    Seven grants (annual amount of 16.238 euros) are available, three of which are reserved for students with non-Italian master degrees.

    Course will be held in English by highly qualified  Italian and non-Italian professors.

    For further information visit the PhD web site
    (http://www.dismeq.unimib.it/en/dottorato-di-ricerca/)

    or contact:

    Giorgio Vittadini (
    <mailto:) PhD program coordinator
    Andrea Ongaro (
    <mailto:)  Curriculum in Statistics coordinator
    Fabio Bellini (
    <mailto:) Curriculum in Mathematical Finance coordinator
    Nicoletta Alghisi (
    <mailto:)  Secretariat

     

     

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    The School of Mathematics, University of Edinburgh is recruiting new lecturers in *Applied Probability* with applications deadline at *5pm GMT on the 20th June 2017*. See 
    http://www.maths.ed.ac.uk/school-of-mathematics/jobs/lectureships-in-applied-probability 

    The University of Edinburgh will make a substantial number of appointments in the Mathematical Sciences as part of an ambitious plan for the School of Mathematics, which includes expansion into part of the new £40M Bayes’ Centre.

    For further details and to apply please see the University of Edinburgh's jobs website:
    https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=039913

    A full CV, research statement and teaching statement must be submitted with your application. In addition we require details of four referees, three to comment on your research and one on your teaching.

    Salary Scale: £39,324 - £46,924 per annum.

    Applications close at 5pm (GMT) on 20th June 2017.

     

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    *Associate Professor in Experimental Soft Condensed Matter**
    Department of Physics, Graduate School of Science, The University of Tokyo***


    The Department of Physics, Graduate School of Science, The University of Tokyoinvites applications for a tenured faculty position of Associate Professor in experimental soft condensed matter starting at the earliest convenience after April 1, 2018.An Associate Professor in The University of Tokyo is an independent member of the faculty with the freedom to organize his/her own laboratory. We seek outstanding researchers in experimental soft condensed matter which is an interdisciplinary research field of soft material, non-equilibrium statistical mechanics, and biological physics. These areas include: non-equilibrium behavior of soft matter, non-equilibrium phase transitions, stochastic thermodynamics, active matter, hydrodynamics and statistical mechanics of driven/active systems, and physical approach to biological systems.

    The successful candidate should have a Ph.D. degree or equivalent, a strong research background, and teaching ability at the graduate school level in soft condensed matter physics. The candidate is expected to demonstrate his/her research ability and excellence, to develop an independent research program at an international level and to teach both undergraduate and graduate courses in Physics. We are committed to promoting the highest standards in scientific research and teaching irrespective of background and are interested in receiving applications from a broad range of candidates. The deadline for applications is August 18, 2017.

    Applicants are required to prepare the following documents: (1) curriculum vitae, (2) list of publications, (3) copies of up to five publications, (4) statement of research achievements (up to 2 pages), (5) research plan (up to 2 pages) and (6) two person’s name, address, and e-mail address who agreed with writing reference letters if the personnel committee decided to assess.


    For more details see http://www.s.u-tokyo.ac.jp/en/recruit/?id=820

    The University of. Tokyo actively promotes gender-equal participation and contributes to the formation of a gender-equal society.


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    a PhD position in applied probability at INRIA, Bordeaux. The topic is
    Stochastic control and resource allocation in large-scale distributed systems

    For more information about the position, please see here
     

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    Two postdoc positions funded by my newly awarded ERC Advanced Grant entitled
    Active and Driven Systems: Nonequilibrium Statistical Physics (ADSNeSP)

    One position is for 3 years, the other for up to 5 years. These roles
    will allow significant independence within the overall scope of the
    programme. Both appointees will be based in my group in DAMTP (Cambridge).

    For more details see http://www.jobs.cam.ac.uk/job/13678/

    The University of Cambridge values diversity and is committed to
    equality of opportunity. The Department would particularly welcome
    applications from women, since women are, and have historically been,
    underrepresented on our research staff.

     

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    POSTDOCTORAL POSITIONS IN MATHEMATICAL PHYSICS / PROBABILITY
    AT HELSINKI UNIVERSITY

    The Mathematical Physics group at the University of Helsinki
    (http://mathstat.helsinki.fi/mathphys/) is looking for postdocs in the following fields:

    -Rigorous Statistical Mechanics and Renormalization Group
    -Singular Stochastic PDE’s
    -Conformal Field Theory and Liouville Quantum Gravity

    The positions are funded through the European Research Council (ERC) Advanced Grant
    “Quantum Fields and Probability” and they are available from September 2017 on.

    Further information: 

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    We have an open one-year postdoc position in statistics at the University of Amsterdam, in the context of the project “Foundations of nonparametric Bayes procedures”. For more information, interested potential candidates can send an email to .
     

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    • We are looking for a highly motivated student to candidate to the PhD

    Program SEVAB (http://www.sevab.ups-tlse.fr/en/index.php
    <http://www.sevab.ups-tlse.fr/en/index.php>). Students with  background in
    physics or mathematics motivated to work in ethology/collective behavior
    are strongly encouraged to apply. All people interested may contact us for
    further information and concerning the procedure to apply for PhD grant.


    Thesis Project Title : Propagation of information and collective decision
    making


    Propagation of information within groups is fundamental to share
    group-living benefits. Information sharing may occur in different
    behavioural contexts, such as food searching and predator avoidance, as
    found in insect swarms, bird flocks or mammal herds. Social cohesion
    relies on information diffusion, and the speed and efficiency of
    collective decisions. The framework of complex systems and
    self-organization aims to account for collective properties of groups.
    Mathematical models using simple mathematical rules and interactions at a
    local scale allow reproducing collective properties. The emerging
    collective decision, on which relies socio-spatial cohesion, depends upon
    the capacity of individual decision to influence neighbours and
    propagation at the group level. However identifying the influential
    neighbours, which are individuals are responding to and on which
    information relies the decision making is a major challenge. The project
    aims at quantifying and modeling the propagation of information and
    decision-making in groups of vertebrates. The behaviour of groups will be
    studied using already collected data on sheep, where departures of
    individuals were experimentally triggered within grazing and almost steady
    groups. The objective is to decipher, after the departure of one
    individual, which are the individuals that are influenced (followers)
    first and then the subsequent behavioural changes of other neighbours.
    Data analysis will be conducted using tools of complex systems, in
    particular of complex networks. This project, at the interface
    biology-mathematics, will allow accounting for what is observed in several
    animal species where vision if one major sensory modality of
    communication. The modeling work could assess the properties of
    propagation of information such as speed and spatial features. This would
    allow contemplating the adaptive consequences of decision making and the
    social factors which affect them.

    REFERENCES:
    Ginelli F*, Peruani F*, Pillot MH, Chaté H, Théraulaz G & Bon R 2015.
    Intermittent collective dynamics emerge from conflicting imperatives in
    sheep herds. PNAS 112: 12729–12734.
    Toulet S, Gautrais J, Bon R & Peruani F 2015. Imitation Combined with a
    Characteristic Stimulus Duration Results in Robust Collective
    Decision-Making. PLoS ONE 10: e0140188.

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    The University of Oslo (Norway) has a funded PhD position in the area of methodology and statistics, see https://www.jobbnorge.no/ledige-stillinger/stilling/136979/phd-candidate. For more information you can send an e-mail to Johan Braeken, at .

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  • The Department for Epidemiology (EPID) at the Helmholtz Centre for Infection Research (HZI) in Braunschweig, headed by Professor Dr. med. Gérard Krause, is looking for a
  • Statistician (PhD Student)

 

  • The Department for Epidemiology has about 40 employees. Our research focusses on occurrence, transmission and the prevention of infectious diseases in the human population. Within the German National Cohort (NAKO Gesundheitsstudie, http://nako.de/informationen-auf-englisch), we represent the topic of immunology and infection. We are also active in DZIF (German Center for Infection Research; www.dzif.de/en) particularly in the “Translational Infrastructure Epidemiology” (www.dzif.de/en/infrastructures/epidemiology). In addition, we have close co-operations within and outside of the HZI, such as Hannover Medical School, the Robert Koch Institute, WHO and the European Centre for Disease Prevention and Control (ECDC). Furthermore, we run the PhD Programme “Epidemiology” (www.helmholtz-hzi.de/phdepi).
  • Read more or visit the website

 

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  • The Department for Epidemiology (EPID) at Helmholtz-Zentrum für Infektionsforschung (HZI) in Braunschweig, headed by Professor Dr. med. Gérard Krause, is looking for a 

 

  • Statistician (Postdoc) 

 

  • The Department for Epidemiology has about 40 employees. Our research focusses on occurrence, transmission and the prevention of infectious diseases in the human population. Within the German National Cohort (NAKO Gesundheitsstudie, http://nako.de/informationen-auf-englisch), we represent the topic of immunology and infection. We are also active in DZIF (German Center for Infection Research; www.dzif.de/en) particularly in the “Translational Infrastructure Epidemiology” (www.dzif.de/en/infrastructures/epidemiology). In addition, we have close co-operations within and outside of the HZI, such as Hannover Medical School, the Robert Koch Institute, WHO and the European Centre for Disease Prevention and Control (ECDC). Furthermore, we run the PhD Programme “Epidemiology” (www.helmholtz-hzi.de/phdepi).
  • Read more or visit the website.

 

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  • TILBURG UNIVERSITY - CentER and Department of Econometrics & OR

    Applications are invited for a

    Ph.D. student (AiO) position in mathematical statistics.

    The research area is nonparametric statistics including, in particular, statistics of extreme values, empirical likelihood, and empirical and quantile processes. The main part of the research is to develop new statistical procedures and to establish the relevant theorems.

     

    The position is for three years. Apart from conducting research that leads to a Ph.D. thesis and publications, the successful candidate will teach for a limited part of the time. She/he will be appointed at CentER, the research institute of the Tilburg School of Economics and Management; see www.center.nl, where you find links to the Department, School and University as well.

     

    Required is education at the (research) master’s level or equivalent, meaning (preferably) five years of relevant university education directed towards a research career.

    More information can be obtained from prof.dr. J.H.J. Einmahl,

    email: , phone: +31 13 4668208.

    Applications including a curriculum vitae and copies of some written work (like a master’s thesis) should be sent to him by email not later than February 3, 2017.

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  • Docent Statistiek 1,0 fte
    Departement Econometrie & OR
    Tilburg School of Economics and Management 
     

    Functie
    Voor het departement Econometrie & OR zijn wij op zoek naar een Docent Statistiek. De taken van de gezochte docent bestaan uit het verzorgen en coördineren van statistiekonderwijs in onze premasteropleiding, maar ook in de bacheloropleiding Bedrijfseconomie. Dit onderwijs wordt voornamelijk in het Nederlands gegeven. Daarnaast vormt de uitvoering van een aantal digitaliseringsprojecten binnen ons statistiekonderwijs een belangrijk onderdeel van de taak.

    Profiel
    Wij zoeken een enthousiaste collega die een academische opleiding heeft genoten in de wiskunde, statistiek of econometrie. Ervaring in het geven van onderwijs is een vereiste. Indien u nog niet in het bezit bent van het certificaat Basis Kwalificatie Onderwijs (BKO) dan wordt er van u verwacht dat u dat behaalt. U bent in staat om onderwijs voor grote groepen in het Nederlands te verzorgen en om een team van docenten aan te sturen.

    Arbeidsvoorwaarden
    Naast een aantrekkelijk pakket secundaire arbeidsvoorwaarden (Tilburg University behoort tot de meest gewaardeerde werkgevers in de non-profit sector) en een attractieve, internationale werksfeer, bieden wij u een tijdelijk dienstverband voor vier jaar met een proeftijd van een jaar. Het salaris is afhankelijk van opleiding en ervaring en bedraagt maximaal € 4028,- bruto per maand (salarisschaal 10) bij een fulltime aanstelling, conform UFO profiel Docent 4. Bij ruimere ervaring behoort een hogere inschaling tot de mogelijkheden. De CAO Nederlandse Universiteiten is van toepassing.

    Informatie en sollicitatie
    Telefonisch of per e-mail kunt u informatie inwinnen over zowel de faculteit, het departement als de functie bij mevrouw dr. Marieke Quant (tel.: 013-4662345, e-mail: ).

    Uw sollicitatie, vergezeld van een motivatiebrief en curriculum vitae, dient uiterlijk 16 januari 2017 binnen te zijn.Sollicitaties kunnen alleen online (https://tiu.nu/7941ingestuurd worden.

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  • Post-doctoral positions at Tel Aviv University:
     
  • The School of Mathematical Sciences at Tel Aviv University invites applications for post-doctoral fellowships in Probability Theory and Statistical Mechanics. Our group includes Prof. Asaf NachmiasRon PeledBoris Tsirelson and Sasha Sodin and keeps close ties with the analysis and combinatorics groups in the school. The position starts on October 1, 2017 and its duration is for 2 years with an option for renewal. Shorter durations or other starting dates can be considered.  Applicants should complete their Ph.D. degree by September 30, 2017.

    Post-doctoral fellowships are research positions and do not carry teaching responsibilities.

    Candidates should e-mail the following application materials to Ms. Nurit Liberman at  with cc to Prof. Ron Peled at :
  • CV
  • List of publications
  • Research statement
  • Three letters of recommendation

    The deadline for applications is January 15, 2017. Applications received after the deadline will be considered if positions remain open.
    The positions are also announced on the MathJobs website: https://www.mathjobs.org/jobs/jobs/9660
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  • On behalf of Hugo Duminil-Copin

    Postdoctoral position in Probability and Mathematical Physics 

    Principal Investigator : Hugo DUMINIL-COPIN

    Duration: 2 years


    IHES offers a 2-year postdoctoral position in Probability and Mathematical Physics beginning September 2017 and funded by the IDEX Chair of Pr Duminil-Copin. 
    All candidates with background in Probability or Mathematical Physics, and interested in working on the mathematical and physical aspects of Statistical Physics andProbability Theory, are encouraged to apply. 

    Contract details
    The IHES scientific environment provides superb conditions for research in mathematics and theoretical physics. The position will be covered by a competitive package funded by the IDEX chair that will include family housing in IHES residence apartments, and free access to the cafeteria for lunch.­ Some funding will also be available to participate in scientific events related to the project.

     

    Applications should be sent online and include the application form duly completed, a CV, a list of publications, a description of research project and future plans as well as 2 letters of recommendation to be sent to ­­­ ­ ­ 

     

    Apply now­­Deadline: 23 November 2016
    Contact
    : ­ ­ ­

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  • Tilburg School of Economics and Management has a position available for: Tenure Track Assistant and/or Associate Professor

 

Candidates in all areas of Econometrics, Applied (Micro-) Economics, Statistics, Data Science/Big Data, or a related field will be given serious consideration.

 

An assistant professorship is a tenure track position for six years. The position offers ample opportunities to do research as it carries a light teaching load (approximately one course per semester). After at most five years, a tenure decision is made.

Associate professor positions are tenured positions.

 

The assistant/associate professor is appointed at the Department of Econometrics and OR at the Tilburg School of Economics and Management.

Tilburg offers competitive European salaries. Moreover, researchers from outside the Netherlands can apply for tax-free allowance equal to 30% of their taxable salary. The University also offers a generous pension scheme. The School will provide assistance in finding suitable accommodation and in other relevant relocation issues.

 

Information about the Department of Econometrics and OR at the Tilburg School of Economics and Management can be found at:https://www.tilburguniversity.edu/about/schools/economics-and-management/organization/departments/eor.htm

 

Applications and accompanying documents should be submitted electronically, using this website: https://mystudy.uvt.nl/it10.jm_home?teller=-1&pdep=ETRIE

Applications should be submitted no later than December 4, 2016. They should include a curriculum vitae, copies of written work, two reference letters (appraising the applicant's research potential) and, if applicable, teaching evaluations.


For further questions, you can contact the Recruitment Team at telephone: +31 13 466 2430 or e-mail: 

  • Interviews with the most promising candidates will be scheduled at the Allied Social Science Associations meetings in Chicago, January 6-8, 2017, or at another mutually convenient time and place.

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  • The doctoral program in Statistics (Statistics and Probability) of the
    Institute of Mathematics and Statistics, University of São Paulo,
    Brazil, has 3 fellowships for full time PhD students. 
    These are full fellowships for a period of 48 months, starting
    from February 2017. These positions are focused on research in
    probability theory and inference in stochastic processes with emphasis
    on stochastic modeling of neuron biological data.
     
    The attached document contains links and further details.
 
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  • The department of Medical Statistics and Bioinformatics of Leiden University Medical Center has two open positions as Assistant Professor in Biostatistics (tenured). For more information, see https://goo.gl/GPMpXj

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  • A PhD position is available at the University of Amsterdam, jointly at the Korteweg-de Vries Institute for Mathematics and the Amsterdam Business School.

    Students with a MSc degree in (Applied) Mathematics, Operations Research, or Econometrics are invited to apply.

     

    More information: Michel Mandjes, +31(0) 20 525 5164; Marc Solomon, +31(0)20 525 4221; Arnoud den Boer, +31(0)20 525 2497.

     

    Project: Adaptive modeling in data-driven decision problems.

     

    Description:

    In the current information age where all sorts of data are abundantly available, business decisions are increasingly based on mathematical models and data instead of intuition and experience. This trend is reflected in the operations management literature, which has seen an explosive growth in research on how to learn optimal decisions from data as efficiently as possible. Insights from this research are increasingly and successfully being applied in practice, in a wide variety of fields and branches.

    Scientific research on how to efficiently learn from data has received a certain level of maturity, but several important questions on the mathematical modeling aspect have thus far been neglected. In particular, the question of how to select a proper mathematical model in a data-driven optimization context has received little or no attention. Model selection is a subfield of statistics and information theory; in these fields a model is good if it gives a good description or prediction of the data. But in decision problems, the quality of a model should not be judged by `goodness-of-fit’ or predictive power, but solely by its ability to produce good decisions.

    A model produces good decisions when it hits the right balance between simplicity and complexity. That means that it achieves a good trade-off between modeling errors (arising from simplifying modeling assumptions), statistical errors (which are typically larger for more complex and realistic models), and optimization errors (complex, realistic models may not allow for exact computation of the optimal decision, resulting in additional errors). It would be tremendously useful to have a generic model selection method that identifies which model achieves this optimal trade-off.

    Such a method should in particularly be able to handle the realistic, dynamic situation, where data is not something static but rather a continuously incoming stream. By continuously adapting the mathematical model upon which decisions are based, the complexity of the model is allowed to grow with the size of the data, such that at all decision moments the right balance is achieved between simplicity and complexity. This departs from the state-of-the-art in the scientific literature, where models are kept fixed throughout the time horizon, which negatively affects the quality of decisions in the short run (if overly complex models are used) or the long run (if models are too simplistic).

    The goals of this research project are to

    - develop and analyze model-selection methods for dynamic, data-driven decision problems;

    - apply them  to practical business optimization problems in pricing and revenue management.

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YEQT workshop

Eurandom
11th of December 2017 - 15th of December 2017 Read more...

Extreme TiDE

Mekelweg 4, 2628 CD Delft
11th of December 2017 - 11th of December 2017 Read more...

Fitting phase-type scale mixtures to heavy-tailed risks

F3.20, Korteweg - de Vries Institute for Mathematics, Science Park
14th of December 2017 - 14th of December 2017 Read more...




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