1、PhD position on Speeding up Algorithms with Machine Learning (TU Wien, Vienna, Austria)
There is an opening for afully funded PhD position on the topic of Speeding up Algorithms with Machine Learning (ML) Methods at TU Wien, Vienna, Austria. The PhD student will join Prof. Stefan Szeider’s research group (https://www.ac.tuwien.ac.at) to develop and implement new methods for leveraging Machine Learning algorithms for improving the efficiency of algorithms for hard combinatorial problems.
Possible research topics include:
(i) ML-based algorithm selection and algorithm tuning,
(iii)ML-based problem encodings to SAT/SMT/QBF/ILP solvers.
Applicants are expected to have solid programming skills as well as interest in theoretical computer science. Background in ML and/or discrete algorithms and/or SAT-solving is of advantage.
The successful candidate will be part of the Doctoral Program on Logical Methods in Computer Science (http://logic-cs.at/phd/) and will have all the benefits from this program (including special courses and seminars, guest lectures, soft skill and career training courses, an international cohort of fellow students).
Informal inquiries to Prof. Szeider <sz at ac.tuwien.ac.at> are welcome. The next deadline for applications is September 1st, 2018. Sending applications earlier, with cc to Prof. Szeider, is encouraged.
2、PhD in operation research and data science Opportunity in Paris
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 aunix-like system (e.g. Ubuntu ) and knowledge in database models will be appreciated.
The PhD thesis will take place on 2 locations:
- Paris 13 University - 99, av. Jean-Baptiste Clément - 93430 Villetaneuse
- Padam - 34 boulevard Sebastopol - 75001 Paris
For more information contact:
Emiliano Traversi traversi at http://lipn.univ-paris13.fr
Roberto Wolfler Calvo wolfler at http://lipn.univ-paris13.fr
3、PhD program in Engineering - Operations Research and Logistics（France）
PHD IN OPERATIONS RESEARCH IN COLLABORATION WITH SANOFI
● Name of the company * : SANOFI
● City and zip code * : AMILLY 45200, France
● Name of the partner academic laboratory (so already known): LIFAT Université de Tours .
● Code of the laboratory: EA 6300, ERL CNRS 7002.
● Title of research theme (without any confidential character) * : Optimization of order preparation within the logistics platform by a dynamic approach
● Description of the theme of research (without any confidential character) * : The Amilly Sanofi platform is organized into 4 customer order preparation lines characterized by different dynamics and granularities. The objective of the work is to carry out a planning of the order preparation so as to satisfy the schedules of the delivery trucks; some orders are known from the beginning of the day while others will appear in the order book as the day progresses. The main constraint is that it is necessary to regroup at the end of the factory and in the same truck trailer, the different cartons constituting a single order.
The initial work will focus on improving the replenishment of lines so as to avoid risks due to lack of a type of medication and by optimizing distribution rules and planning at the level of preparation lines.
● Description of job * : The position created for this project is a research engineer position whose work must bring a step back on the organization of the preparation site.
● Date of recruitment * : October the 1 th 2018.
● E-mail addresses to which the applicant should send his/her application * : Humez, Bich-Phuong (SAF) /FR Bich-Phuong.Humez at http://sanofi.com
Et Patrick MAS :Patrick.MAS at sanofi.com.
● Main Research Field * :
● Function * : .Research Engineer.
● Research Profile * : Master / Engineer degree in computer sciences.
Professeur des Universités, Responsable Relations Entreprises
Département Informatique de Polytech Tours
Laboratoire d'Informatique ERL CNRS 7002
64 av. Jean Portalis
Tél : +33 (0)2 47 36 11 26
Fax : +33 (0)2 47 36 14 22
4、PhD studentships in Mathematics at The Open University, UK
PHD STUDENTSHIPS IN MATHEMATICS STARTING ON 1 FEBRUARY 2019
Located in: The Open University, Milton Keynes, UK Closing date:3rd September 2018
Full details: http://www.mathematics.open.ac.uk/phd
Several full-time three-year PhD studentships in Mathematics and Statistics are available, commencing 1 February 2019. Studentships coverfull-time fees, include a stipend (currently £14,777 per annum), plus £1250 annual travel allowance.
Several research projects are available, including projects in Discrete Maths, namely:
* algebraic graph theory,
* permutation patterns, and
* aperiodic order.
For full details see:
Interested persons are strongly encouraged to make informal enquiries
to stem-ms-research at http://open.ac.uk.
Completed application forms, together with a covering letter indicating your suitability and reasons for applying, should be sent to stem-ms-research at http://open.ac.uk to arrive by 5pm on Monday, 3 September 2018.
Application forms are available from
The School of Mathematics and Statistics, situated in the OU campus in Milton Keynes, provides a friendly and flexible working environment for all of its staff and students, and holds a Bronze Athena SWAN award.
We particularly welcome applications from women: the School ensures that every female PhD student is allocated a female member of staff as a point of contact, and organises networking events for female academic staff and PhD students.
Overseas applicants are welcomed but those from a non-European Economic Area country that is not majority English-speaking must hold a Common European Framework of Reference for Languages (CEFR) certificate for English at B2 level or higher at the time of applying.