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Applications are invited for a postdoctoral research fellowship in the Mathematics Department at the London School of Economics and Political Science. The position is funded by the European Research Council (ERC) Starting Grant “Scaling Methods for Discrete and Continuous Optimization” held by László Végh.

The project focuses on problems and methods on the interface between discrete and continuous optimization. A key goal is to further our understanding of strongly polynomial computability, including making progress towards the important open question of finding a strongly polynomial algorithm for linear programming.

Areas of particular interest include: efficient algorithms for linear and convex programming, and the geometry of linear and convex programs; strongly polynomial computability; mean payoff games and tropical linear programming; polynomial-time exact and approximation algorithms for network optimization problems; market equilibrium computation.

Please see a brief summary of the project on the webpage http://personal.lse.ac.uk/veghl/scaleopt.html

The initial appointment is for one year with the possibility of an extension. The starting date is flexible.

If you have any questions, please do not hesitate to send an email to l.vegh@lse.ac.uk .

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The Mathematical Sciences department of the IBM Thomas J. Watson
Research Center invites applications for its 2020/2021 Herman
Goldstine Memorial Postdoctoral Fellowship for research in
mathematical and computer sciences. The fellowship provides scientists
of outstanding ability an opportunity to advance their scholarship as
resident department members at the Research Center. The Research
Center is located in Westchester County, less than an hour north of
New York City.

The department provides an atmosphere in which basic research is
combined with work on practical applications. Our permanent members,
academic visitors, and post-doctoral fellows pursue research in pure
and applied mathematics and in theoretical and exploratory computer
science. Areas of research include: algorithms, artificial
intelligence and machine learning, numerical analysis and scientific
computing, dynamical systems, inverse problems, optimization,
operations research, applied probability, and statistics. Close
interaction with permanent department members is expected and
encouraged, but fellows are free to pursue their own research
interests.

Up to two fellowships will be awarded. Candidates must have received a
Ph.D. degree after September 2015 or should expect to receive one
before the fellowship commences in the second half of 2020 (usually in
September). The fellowship has a period of one year, and may be
extended for another year by mutual agreement. The stipend is expected
to be at least $150,000.

For full details and to apply, please visit:
http://www.research.ibm.com/goldstine/

The deadline for application is January 20, 2020.

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The PhD program of ESSEC Business School has transformed its analytics
and management science concentration into "Operations & Data
Analytics", with one specialization to choose among:

1) Operations Management / Operations Research, or

2) Data Analytics (including statistics, big data, econometry andrisk
management).

The Operations Management / Operations Research research cluster of
ESSEC hosts 9 professors and researchers. The Data Analytics
specialization is composed of 80% of statistics-related courses (and
well separated from the Operations specialization) with Professors of
the IDS Department.

Selected PhD students are automatically funded for 4 years, with a
stipend of 23000 € a year. PhD courses last for 1,5 year, however
research modules start as soon as year 1, with Professors teaching in
the program. In addition to the PhD Thesis, students will graduate with
an Advanced Master in Business Administration Research of ESSEC Business
School, and possibly a French Doctorat. The course program is 100% in
English.

See PhD website: http://www.essec.edu/en/program/phd-en/phd-program/

ESSEC Business School is a leading global business school (ranked #4
worldwide for its Master in Management (Grande Ecole) Program by the
Financial Times).

*Deadlines for applying: January 15 (session 1); May 15 (session
2).*Beware: GMAT or GRE scores are required, together with TOEFL for
English. See details on the admission file in Admissions on the PhD
website. For any question, send an email to: alfandari@essec.edu
/

PhD students interested in Operations Research will have the opportunity
of developing their research projects with Professors:

Laurent Alfandari

Ivana Ljubic

Claudia Archetti

Potential topics for the research include (but are not restricted to):

Applications:

-Optimization of routing problems for last-mile delivery services

-Optimization of supply

-Digital operations

-Sustainable operations

-Assortment problems in marketing

-Network design& telecoms

-Energy production and distribution planning

Methods and models:

-Integer Linear or Non-Linear Programming

-Decomposition methods (Benders decomposition, Branch-and-Price,
Branch-and-Cut)

-Robust optimization

-Bi-level optimization

-Approximation and heuristic algorithms

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Even if the announcement is only in German, English applications are more than welcome.


Announcement
Die Universität Klagenfurt schreibt folgende Stelle zur Besetzung aus:

Universitätsassistentin / Universitätsassistent

an der Fakultät für Wirtschaftswissenschaften, Institut für Produktions-, Energie- und Umweltmanagement, Abteilung für Produktionsmanagement und Logistik (Univ.-Prof. Mag. Dr. Margaretha Gansterer) im Beschäftigungsausmaß von 100 % (40 Wochenstunden; Uni-KV: B 1; www.aau.at/uni-kv). Das monatliche Mindestentgelt für diese Verwendung beträgt € 2.864,50 brutto (14 x jährlich) und kann sich durch die Anrechnung tätigkeitsspezifischer Vorerfahrungen auf max. € 3.396,-- brutto (B1 lit. a) erhöhen. Voraussichtlicher Beginn des auf vier Jahre befristeten Angestelltenverhältnisses ist der 1. März 2020.

Area of responsibility
Die selbstständige Forschung mit dem Ziel der Abfassung einer Dissertation im Bereich Betriebswirtschaftslehre und dem Schwerpunkt in Produktion, Logistik oder Supply Chain Management mit quantitativer Ausrichtung.
Mitarbeit in Forschungsprojekten (national und international)
Publikations- und Vortragstätigkeit (national und international)
Durchführung von Lehrveranstaltungen, Prüfungstätigkeit (Mitwirkung und Abhaltung) sowie Betreuung von Studierenden
Mitwirkung an Organisations- und Verwaltungsaufgaben und an Qualitätssicherungsmaßnahmen
Mitwirkung am Ausbau der internationalen wissenschaftlichen Kontakte des Institutes für Produktions-, Energie- und Umweltmanagement sowie in der Öffentlichkeitsarbeit
Requirements


Abgeschlossenes Diplom- oder Masterstudium im Fach Betriebswirtschaftslehre, Operations Research oder einem fachnahen Gebieten an einer in- oder ausländischen Hochschule
Nachgewiesene Fachkenntnisse im Bereich Produktion, Logistik oder Supply Chain Management
Nachgewiesene Methodenkenntnisse der quantitativen, entscheidungsorientierten Betriebswirtschaftslehre insbesondere Optimierung, Simulation oder Business Analytics
Fließende Deutsch-, oder Englischkenntnisse in Wort und Schrift (vergleichbar mit Sprachniveau C1)


Der Nachweis für die Erfüllung aller Voraussetzungen für die Einstellung muss bis spätestens 15. Jänner 2020 vorliegen.



Desired skills
Grunderfahrungen im universitären Lehr- und Forschungsbetrieb
Vorerfahrungen in der Anwendung von quantitativen Forschungsmethoden
Ausgewiesenes Interesse an Forschung im Bereich der Betriebswirtschaftslehre insbesondere im Bereich Produktion, Logistik oder Supply Chain Management, vorzugsweise ersichtlich aus ersten wissenschaftlichen Arbeiten
Internationale Erfahrungen (z.B. im Rahmen von Studium, Ausbildung, Berufstätigkeit oder Projektkooperationen)
Gute Software- bzw. Programmierkenntnisse
Soziale und kommunikative Kompetenz, Teamfähigkeit
Additional information
Diese Stelle dient der fachlichen und wissenschaftlichen Bildung von AbsolventInnen eines Master- bzw. Diplomstudiums mit dem Ziel des Abschlusses eines Doktorats-/Ph.D.-Studiums. Bewerbungen von Personen, die bereits über ein facheinschlägiges Doktorat bzw. einen facheinschlägigen Ph.D. verfügen, können daher nicht berücksichtigt werden.

Die Universität Klagenfurt legt im Rahmen ihrer Personalpolitik Wert auf Antidiskriminierung, Chancengleichheit und Diversität.

Menschen mit Behinderungen oder chronischen Erkrankungen, die die geforderten Qualifikationskriterien erfüllen, werden ausdrücklich zur Bewerbung aufgefordert.

Allgemeine Informationen finden BewerberInnen unter www.aau.at/jobs/information. Als Ansprechpartnerin für Fragen zur Stellenausschreibung steht Frau Univ.-Prof. Dr. Margaretha Gansterer (margaretha.gansterer@aau.at bzw. telefonisch unter +43 463 2700 4079) gerne zur Verfügung.

Bei Interesse bewerben Sie sich bis 15. Jänner 2020 mit den üblichen Unterlagen (Motivationsschreiben, Lebenslauf, Kopien der akademischen Abschlüsse, Auflistung der absolvierten Kurse, Nachweis einer selbstständig verfassten Arbeit (z.B. Bachelor- oder Masterarbeit) über den „Für diese Stelle bewerben“-Button am Ende dieser Ausschreibung.

Es besteht kein Anspruch auf Abgeltung von Reise- und Aufenthaltskosten, die aus Anlass des Aufnahmeverfahrens entstehen.

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PhD-Position in Mathematical Optimization, SFB/CRC 1410 "Hybrid
Societies", TU Chemnitz

Starting: March 1, 2020
Duration: 46 month (until Dezember 31,2023
Salary level: TV-L 13, 75%
Application closing date: January 12, 2020
Official Announcement:https://www.tu-chemnitz.de/verwaltung/personal/stellen/SFB_18_Si.php
Research Group: Algorithmic and Discrete Mathematics (Christoph Helmberg), Department of Mathematics

Research in the CRC 1410 Hybrid Societies pertains to the interaction
with Embodied Digital Technologies (EDTs) as artificial bodies moving in
real or virtual environments (www.hybrid-societies.org
). Interdisciplinary research in the
CRC is guided by two leading questions to ultimately ensure smooth and
efficient encounters between humans and embodied technologies in hybrid
societies: What is required so that humans can coordinate with EDTs as
smoothly as with conspecifics? How to design EDTs to meet these
requirements? Cooperating researchers from psychology, engineering,
computer science, human movement science, linguistics and gesture
studies, sociology, law studies, physics, and mathematics scientifically
inquire the interaction of humans with EDTs from the level of single
actions up to the attribution of intentionality.

Within the project "Mathematical Methods to Extract Information from
High-dimensional Data" this position will focus on developing graph
partitioning approaches for locating metastable states within a Markov
model of time series transitions on a discretized state space. Jointly
with two further mathematical researchers who concentrate on
stochastic/statistical and on function approximation techniques, the
successful applicant will interact closely with other CRC members on
analyzing the time series data generated in experiments to explore the
possibilities of autonomous systems to recognize human intentions and
reactions. The mathematical research topic of this position will be new
semidefinite approaches for optimizing spectral graph parametes related
to graph partitioning.

Researchers in the CRC Hybrid Societies contribute to the CRC’s joint
research activities and actively participate, for instance, in research
colloquia, lecture series, and workshops. The doctoral position includes
the enrollment in the CRC's doctoral program.

Requirements:

* University degree (Master/Diploma or equivalent) in Mathematics,
Computer Science, or a similar background
* Basic knowledge of discrete and/or convex optimization will be of
advantage
* Experience with and a strong interest in programming (e,g, in C++)
is a plus
* Strong motivation for contributing to science in interdisciplinary
collaboration
* Fluent in English (both written and spoken)

Application procedure:

Applicants should send their complete application documents including a
motivation letter (1 page) with a brief description of personal
qualifications and research interests, a tabular curriculum vitae,
copies of degree certificates and academic transcripts, a publication
list if applicable, and abstracts of Bachelor- and Master-/diploma
theses (1-2 pages) preferably as a single pdf-file via email (stating:
*“CRC1410_E01_admath”*) to helmberg at mathematik.tu-chemnitz.de
. The closing date for
applications is *January 12th 2020*. Please, do not include links in
electronic applications. Please, send copies only. Original documents
will not be returned.

Address:
Chemnitz University of Technology
Faculty of Mathematics
Professorship of Algorithmic and Discrete Mathematics
Prof. Dr. Christoph Helmberg
09107 Chemnitz
helmberg at mathematik.tu-chemnitz.de

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The Department of Mathematics at LSE has openings for PhD students,
including in the areas of Discrete Mathematics, Operations Research
and Analytics, and Game Theory. We are seeking exceptionally talented
and motivated students with a strong mathematical background and
interest in combinatorics, discrete random structures, mathematical
foundations of operations research, discrete optimisation, algorithms,
mathematical and algorithmic game theory, and related areas.

For further information about the PhD programme, application
procedures, and faculty please see
http://www.lse.ac.uk/study-at-lse/Graduate/Degree-programmes-2020/MPhilPhD-Mathematics

Applicants will automatically be considered for LSE funding covering
fees and paying GBP 18,000/year (approximately EUR 21,000 or USD
23,000) for up to 4 years. The award of these scholarships is
competitive, based on academic performance (typically in an MSc or
equivalent) and suitability of the proposed research. The first (of
two) application deadline for funding is 10 January 2020; by this time
a complete application with references must have been submitted.

Prospective applicants are encouraged to contact the following
department faculty members, well in advance of the deadline, to
discuss their qualifications and research interests before submitting
a formal application:

Discrete Mathematics: Prof Jozef Skokan
Operations Research: Dr Giacomo Zambelli
Game Theory: Prof Olivier Gossner

It is fine if you wish to write to several of us (and/or our
colleagues), but then please do so in a single email.

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The Department of Computer Science, Faculty of Science at University of Copenhagen (DIKU), Denmark, seeks applications for a Tenure-track Assistant Professorship within algorithms.

The Algorithms and Complexity Section at DIKU is headed by Professor Mikkel Thorup. The group is prolific at the topmost conferences like SODA, STOC, and FOCS, e.g., with 6 papers accepted for SODA’20. Adding to the excitement, we have the center Basic Algorithms Research Copenhagen (BARC) which also involves the IT University of Copenhagen. The aim is to attract top talent from around the world to an ambitious, creative, collaborative, and fun environment. Using the power of mathematics, we strive to create fundamental breakthroughs in algorithmic thinking. While the focus of BARC is algorithms theory, we do have a track record of surprising algorithmic discoveries leading to major industrial applications.

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We are the Department of Data Science and Knowledge Engineering (DKE) at Maastricht University, the Netherlands: an international community of ~50 researchers at various stages of their career, embedded in the Faculty of Science and Engineering (FSE). Our department has nearly 30 years’ experience with research and teaching in the fields of Artificial Intelligence, Computer Science and Applied Mathematics. To strengthen our team, we are looking for an assistant professor who will work on Optimization.

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We are looking for a candidate for a one-year non-renewable postdoctoral position over a joint DigiCosme-funded project between the Laboratoire d'Informatique de l'Ecole Polytechnique (LIX) and the Laboratoire des Signaux et Systemes a Centrale-Supelec (L2S), both on the plateau de Saclay, France (a 1h commuter train ride from Paris).

The project is titled "SparseWars. Episode II: Parsimony Battles". The broad topic is compressed sensing. We want to find out whether (and how) random projections can help solve recovery problems faster, in the framework of basis pursuit and sparse coding.

An approximate estimation of the net monthly salary is 2200EUR/month. The
recruitment has to be finalized by 31st dec 2019.

All queries to be directed to leoliberti at gmail.com
In order to apply, send a single PDF containing: (i) academic (long) CV with list of publications; (ii) motivation letter. Make sure you mention your academic website with downloadable publications in your CV/motivation letter.

Matthieu Kowalski, LS2
Leo Liberti, CNRS LIX

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Applicants are invited for a postdoctoral position as part of a research project within the department of Electrical Engineering and Computer Science at Khalifa University of Science and Technology, Abu Dhabi, UAE.

Job Description:

The project aims to consider continuous/discrete optimization problems, particularly those arising in Machine Learning, under the framework of robust optimization, where the input data is given with some uncertainty. The goal is exploit the structure of these optimization problems in order to develop efficient algorithms for finding near-optimal solutions under the worst-case choice the input can assume from the uncertainty set. Experience with optimization software and programming languages such as C++, Python, Matlab, Gurobi is strongly recommended, as part of this project will focus on providing efficient implementations of the developed algorithms.

Required Qualifications:

- Ph.D. in Theoretical Computer Science, Operations Research, or equivalent
- Strong mathematical background in areas like continuous/discrete optimization and
- Solid programming skills (e.g. C++, Python, Matlab, Gurobi)
- Familiarity with Machine Learning algorithms is highly preferred.

The position will be for a duration of 1 year, starting as early as possible. Interested applicants are encouraged to send a CV by December 30th, 2019 to Khaled Elbassioni (khaled.elbassioni@ku.ac.ae).




Khaled ElBassioni
Professor
Electrical and Computer Engineering

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A PhD or Postdoc position is available in the "Discrete Mathematics
Group" at TU Berlin, supported by the newly established DFG-NCN
project "Order and Geometry". This is a joint project between the
groups of Stefan Felsner in Berlin and the group of Piotr Micek in
Krakow. The research within the project ranges from coloring problems
to encodings mostly in relation to graphs and orders defined in a
geometric setting. For a more detailed description see
(http://page.math.tu-berlin.de/~felsner/o+g-short.pdf).

Candidates should have an excellent academic degree in mathematics,
computer science or a related area, and must have very good knowledge
in discrete mathematics. Communication skills and solid English
writing skills are expected. Special knowledge in combinatorial geometry or
combinatorics of partially ordered sets are desirable.

Besides its many cultural attractions, Berlin offers a strong
scientific landscape including three major universities, the MATH+
cluster promoted by the German Excellence Initiative, and the DFG
research training group "Facets of Complexity" these offer
opportunities for joint research and support for PhD students and
postdocs (e.g., meetings, lecture series, summer schools etc.).

Applicants should send their application as *a single pdf* file containing:
- cover and motivation letter
- curriculum vitae
- copies of diplomas
- summary of thesis (max. 2 pages)
- names and contact details of one or two referees (including thesis advisor)

by December 20, 2019

to
Prof. Dr. Stefan Felsner
felsner@math.tu-berlin.de
http://page.math.tu-berlin.de/~felsner/

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Funding is available for a PhD position at Rutgers Business School (Newark and New Brunswick) on the Ph.D. in Management Program, specializing in Operations Research, to start in September 2020. See https://www.business.rutgers.edu/phd/operations-research for more details of the program.

The successful applicant will work with Thomas Lidbetter (https://www.business.rutgers.edu/faculty/thomas-lidbetter) on the NSF funded project, Continuous Search and Patrolling on Networks (abstract given here: https://nsf.gov/awardsearch/showAward?AWD_ID=1935826&HistoricalAwards=false). The project will use game theory, graph theory and other operations research techniques to study search and patrolling problems on networks.

Applicants should have a strong quantitative background, and will have completed an undergraduate and/or Master?s degree in mathematics, computer science or a related discipline before commencing the program.

Candidates should send an email with CV attached directly to Thomas Lidbetter at tlidbetter@business.rutgers.edu by December 20th 2019. Following an informal selection process, the successful applicant will be required to formally apply for a place on the program through Rutgers Business School by February 1st 2020.

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Applicants are invited for a postdoctoral research fellow at the
Mathematics Institute at the University of Warwick to work with Dr. Hong
Liu as part of the UKRI Future Leaders Fellowship project “Embeddings in
Sparse Graphs”.

Deadline for application: 18 Dec 2019.

This is a fixed term contract for 2 years. The preferred starting date is
between 1 February to 1 October, 2020. The exact starting date is
negotiable. There is no teaching requirement. The annual salary starts at
Grade 6: £30,942. Additional funding is available for travel and other
expenses.

The application should include the following documents: CV, list of
publications, research statement and 3 letters of recommendation. All
applicants should ensure that their 3 referees send their references by
email to Alison Glendinning (Departmental Secretary, Department of
Mathematics, University of Warwick) by email to MathematicsPA@warwick.ac.uk

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The Department of Industrial and Systems Engineering at the University of
Wisconsin-Madison invites applications to its PhD program, due December 15.

PhD students in ISyE conduct research in methodological areas such as
mathematical optimization, operations research, data analytics, and human
factors engineering, and in applications such as healthcare, production and
transportation systems, under the guidance of our world-class faculty
members . Research and teaching
assistantships are available to support all PhD students in ISyE. There is
strong demand for our PhD graduates in academia, industry, and the public
sector.

More information about the department and the PhD program is available here
<
https://www.engr.wisc.edu/department/industrial-systems-engineering/academics-2/master-of-science-phd-in-industrial-systems-engineering/
>.

See here <
https://guide.wisc.edu/graduate/industrial-systems-engineering/industrial-engineering-phd/#admissionstext
> for application instructions.

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The Department of Industrial Engineering and Operations Research at
Columbia University invites applications to its PhD program.

Candidates with interest in the theory and/or practice of optimization will
have the opportunity to work with the IEOR faculty members
, whose
research interests go from discrete to continuous optimization, to
applications in finance, revenue management, healthcare, and machine
learning, among others. Graduates from the program have gone on to careers
in academia, research, and industry. The department provides academic and
funding support for its students.

The deadline for application is December, 15th.

See here for more information about
the program and here for
the application process.

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We are seeking candidates for a 2-year post-doctoral fellowship
position to work at the Institute of Computing, University of
Campinas, Unicamp, Campinas, SP, Brazil. This fellowship is part of a
Project, entitled ``Investigation of hard problems from the
algorithmic and structural standpoints'', funded by the São Paulo
Research Foundation (Fapesp).

Goals.
Development of approximation algorithms and exact solution methods for
packing problems, mainly for two- and three-dimensional versions.
Obtain new or better approximation factors for variants or improved
models and algorithms for packing problems.

Specifications.
The candidate must have a Ph.D. in Computer Science, Operations
Research, Applied Mathematics or in a related field. The candidate
must have finished the Ph.D. less than seven years before the
beginning of the PD fellowship. The candidate should demonstrate a
solid background in the design and analysis of algorithms,
approximation algorithms, integer programming, heuristics, and
meta-heuristics. The candidate is expected to interact with other
members of the project, including masters and Ph.D. students and
professors.

Fellowship:
The post-doctoral fellowship includes a monthly stipend of R$ 7.373,10
(about USD 1,750 and EUR 1,580), access to the health-care system of
Unicamp, and research contingency funds (15% of the annual value of
the fellowship, each year). For more details, check out Fapesp’s
webpage http://www.fapesp.br/en/5427.

How to Apply:
The candidate must send by email until December 15, 2019, the
following documents:

* Curriculum vitae with a list of publications, and previous experience.
* A motivation letter for the application.
* Contact of an earlier supervisor that can give a recommendation.

All documents must be sent by email to Flávio K. Miyazawa at fkm@ic.unicamp.br.

More information
* Institute of Computing, Unicamp
www.ic.unicamp.br/en
* University of Campinas (Unicamp)
https://en.wikipedia.org/wiki/University_of_Campinas
www.unicamp.br/index.php/english
* The city of Campinas
Campinas, the most surprising city in Brazil
https://youtu.be/nool_9y02vE

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Mathematical Models and Algorithms for Allocating Scarce Airport Resources (OR-MASTER) is a Programme Grant funded by the Engineering and Physical Science Research Council, UK (EPSRC) involving Lancaster University and University of Leicester. At Lancaster, OR-MASTER will be undertaken by the Centre for Transport and Logistics (CENTRAL). Professor Konstantinos G. Zografos at Lancaster University is the Principal Investigator and overall Programme Director.Professors Kevin Glazebrook (Lancaster) and Edmund Burke (University of Leicester) are the two Programme Co-Investigators.

OR-MASTER will develop new mathematical models and algorithms for solving complex, large-scale airport resource allocation problems. To achieve our objectives we seek to recruit three world-leading post-doctoral researchers (x1 Senior Research Associate x1, x2 Research Associate) with ambition, potential and determination. The RAs may also have the opportunity to work in other projects undertaken by CENTRAL.

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Mathematical Models and Algorithms for Allocating Scarce Airport Resources (OR-MASTER) is a Programme Grant funded by the Engineering and Physical Science Research Council, UK (EPSRC) involving Lancaster University and University of Leicester. At Lancaster, OR-MASTER will be undertaken by the Centre for Transport and Logistics (CENTRAL). Professor Konstantinos G. Zografos at Lancaster University is the Principal Investigator and overall Programme Director.Professors Kevin Glazebrook (Lancaster) and Edmund Burke (University of Leicester) are the two Programme Co-Investigators.

OR-MASTER will develop new mathematical models and algorithms for solving complex, large-scale airport resource allocation problems. To achieve our objectives we seek to recruit three world-leading post-doctoral researchers (Research Associates) with ambition, potential and determination. The RAs may also have the opportunity to work in other projects undertaken by CENTRAL.

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The University of Southampton is seeking a motivated candidate with experience in Operational Research to work as a Research Fellow on a research project with the National Grid Electricity Transmission (NGET), the owner of the high-voltage electricity transmission network in England and Wales. The Research Fellow will be a member of the Operational Research group within the School of Mathematical Sciences, University of Southampton, and of CORMSIS, the Centre for Operational Research, Management Sciences and Information Systems, one of the largest and strongest groups of Operational Research/Management Science researchers in the UK.

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The School of Mathematics in the University of Edinburgh wishes
to appoint five WHITTAKER RESEARCH FELLOWSHIPS. We are seeking
outstanding candidates to enhance the current strengths of the School,
to connect existing areas of expertise within the School, or to pursue
connections with application areas. The fellowships are each
for three years and feature a 10% teaching duty.

The School intends to appoint at least one fellowship in each of its
themes: Optimization, Operational Research and Statistics (OORS);
Applied and Computational Mathematics (ACM); Analysis and Probability (AP);
Structure & Symmetry (SS – featuring Algebra, Geometry, Mathematical
Physics, Topology). Applications that sit between or beyond these
themes or are based in Mathematical Sciences Education (MSE) are
also welcome.

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Applications are invited for a Postdoctoral Research position at Universidad Adolfo Ib??ez (Santiago, Chile) to work on the development of optimization methods for large-scale project management and applications in strategic mine planning. Applicants with strong computational skills and an interest in optimization and natural resource management are encouraged to apply. Applicants should have obtained their Ph.D. no earlier than 2014.

This two-year position has a broad research mandate, with possible focus areas ranging from the methodological (general decomposition methods, cutting-planes, constraint programming, or others), to more applied computational work in mining with our many industrial partners. Though no previous experience in scheduling or mining is required, post-holders will be expected to dominate these fields during the course of the position and be able to work both independently, and as part of a multi-disciplinary team comprised of optimizers, mining engineers, computer scientists, programmers, and others.

The position comes with the opportunity to develop a research or professional career in a high-impact industry, work with real data and ongoing mining projects throughout the world, develop large-scale optimization technologies in the cloud, and be part of an international network of research and industrial collaborators in the United States and Australia. Willingness to travel during the post-doc position is a plus.

The post is available from October 1st, 2019, or a mutually agreed date. Based in Santiago, Chile, at the Universidad Adolfo Ib??ez, Pe?alolen Campus, the position has a starting salary of USD $40,000 before taxes.

Please enclose with your application your CV, a research statement, and three references to which recommendation letters can be solicited.

The position will remain open until a suitable candidate is found.

Informal enquiries are encouraged; please contact Professors Eduardo Moreno or Marcos Goycoolea by email at eduardo.moreno@uai.cl and marcos.goycoolea@uai.cl.

--
Eduardo Moreno, Ph.D.
Professor - Research Director
Faculty of Engineering and Science
Universidad Adolfo Iba?ez

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This is an exciting opportunity for an ambitious graduate with the ability and confidence to embed academic knowledge in the areas of data science, machine learning and optimisation, into the innovative software platform of 365 Response Ltd. In particular, the focus is on developing new tools to improve transport flow and resource utilisation across health and care to improve quality of care for service users and efficiency for providers.
The University of Manchester and 365 Response Ltd, are looking to recruit a Research Associate to undertake this KTP project.

The position will provide you with a unique opportunity to lead the transfer of knowledge from the University of Manchester through to the health & care industry, the development of novel algorithms that tackle transportation problems in health & care and their implementation in 365 Response software platform. In addition to your salary, you will have access to a budget of £5,000 for professional development and training.
You will be required to have a recently-obtained 2:1 degree (or equivalent) and a PhD in a subject related to data science, machine learning and/or mathematical optimisation (e.g., Computer Science, Physics, Engineering, Applied Mathematics, Business Analytics, Operations Research, Business Engineering, Data Science, Data Analytics, Artificial Intelligence, etc.),

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Here is an opening for a research fellow position in Pisa, concerned with mixed-integer non-linear programming (MINLP) problems.

To apply, follow the instructions at this link:

https://www.unipi.it/ateneo/bandi/assegni/2019/inf/07112019/index.htm

Deadline: 7 November 2019, 13:00 (Rome, Italy time)

About the research:

We are looking for an enthusiastic research fellow to join us, studying mathematical optimization problems that combine both discrete and (continuous) nonlinear elements.
It is well-known that the algorithmic approaches for Mixed-Integer Linear Programming (MILP) and Non-Linear (continuous) Programming (NLP) taken alone
are not sufficient to tackle this class of problems. Indeed, the underlying mathematical structure combines non-convexities of the discrete elements with nonlinear functions.
This is very significant from a practical point of view, in that it allows to more accurately model the complex structures that are required by real applications, ranging from energy, telecommunication to transportation and logistics, fostering an interplay between industry and academia.
Currently, there are several theoretical, algorithmic and computational challenges in MINLP, that have now clearly caught the attention of all major optimization societies.

The position is funded for 2 years.
Please circulate to potentially interested people.

Contact:
Laura Galli
Senior Assistant Professor of Optimisation
Department of Computer Science
University of Pisa
Largo B. Pontecorvo, 3
56127, Pisa
T: +39 (0)50 2212715

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The University of Exeter’s College of Engineering, Mathematics and Physical Sciences is inviting applications for a fully-funded PhD studentship to commence in February 2020 or as soon as possible thereafter. For eligible students the studentship will cover UK/EU/International tuition fees plus an annual tax-free stipend of at least £15,009 for 3.5 years full-time, or pro rata for part-time study. The student would be based in the College of Engineering, Mathematics and Physical Sciences at the Streatham Campus in Exeter.

Project Description:
Mathematical optimisation problems arising from real-world applications typically consist of many interconnecting components, i.e. a fleet of vehicles at a delivery depot, crew and aircraft in airline operations and the numerous, semi-autonomous power stations supplying the electricity grid. These interconnections introduce structure that can be exploited through the use of decomposition techniques. A popular decomposition technique used to exploit such structure is Benders’ decomposition.

Recently, a general Benders’ decomposition framework has been made available within the mathematical and constraint programming solver SCIP (scip.zib.de). This framework provides the functionality to solve many real-world optimisation problems, specifically mixed integer programs and convex quadratic programs. However, there are still many problem classes that are not fully supported, such as convex and non-convex mixed integer non-linear problems. The goal of this project is to extend the Benders’ decomposition framework in SCIP to handle a wider range of problem classes. This will involve the development of novel solution algorithms that can be applied to general problems instances.

This project requires a high competency in mathematics and software design and development. You will become part of the SCIP Development Team (scip.zib.de) and contribute to the growth of this highly regarded general purpose solver. Knowledge of discrete optimisation, operations research and linear programming is a bonus.

How to apply:
In the application process you will be asked to upload several documents.
• CV
• Letter of application (outlining your academic interests, prior research experience and reasons for wishing to undertake the project).
• Transcript(s) giving full details of subjects studied and grades/marks obtained (this should be an interim transcript if you are still studying)
• Two references from referees familiar with your academic work. If your referees prefer, they can email the reference direct to stemm-pgr-admissions@exeter.ac.uk quoting the studentship reference number.
• If you are not a national of a majority English-speaking country you will need to submit evidence of your proficiency in English.

The closing date for applications is midnight on 1st November 2019. Interviews will be held on the University of Exeter Streatham Campus the week commencing 18th November 2019.

If you have any general enquiries about the application process please email stemm-pgr-admissions@exeter.ac.uk or phone +44 (0)1392 722730 or +44 (0)1392 725150. Project-specific queries should be directed to Dr Stephen J. Maher s.j.maher@exeter.ac.uk.

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We are looking for a highly motivated candidate for a PhD in operations research and data science. The PhD is in collaboration with Padam (www.padam.io), a company working on a turnkey platform and developing simulation tools for on-demand transportation systems.


At the interface of 2 hot and trend topics, the project will be oriented on the following aspects:

- The design of exact and heuristics algorithms for routing problems to efficiently tackle instance of the company

- The use of original data science and probabilistic methods to improve routing decisions


To achieve this goal, the candidate will have to suggest novel algorithms combining advanced optimization techniques (e.g. mathematical programming models, hyper- and meta- heuristics) with robust and data-driven optimization techniques.


Applicants should have (or be about to finish) a relevant master degree. Good knowledge of operations research techniques (integer linear programming, graphs etc.) and data science/machine learning tools are strongly recommended. The applicant should also have good programming skills in any programming language. Expertise in working with a unix-like system (e.g. ubuntu) and knowledge in database models will be appreciated.


The PhD thesis will take place in 2 locations:
- Paris XIII University - 99, av. Jean-Baptiste Clément - 93430 Villetaneuse
- Padam - 34 boulevard Sebastopol - 75001 Paris

For more information contact:
Emiliano Traversi traversi@lipn.univ-paris13.fr
Roberto Wolfler Calvo wolfler@lipn.univ-paris13.fr