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欧洲博士多为工作合同，工资按当地等级标准有所不同，通常享受30天带薪年假以及医疗保险，并且有助于申请当地的永居(绿卡)和移民。
例如 留德华叫兽在德国拿到博士学位后工作半年，即具备申请德国永居的资格。
关于欧洲博士（后）具体工资情况，参见：
汇总 | 全球学术界博士(后)、教职工资福利大PK mp.weixin.qq.com
目录
- PhD and Postdoc Positions in Mathematical Programming at Johannes Kepler University Linz, Austria（奥地利）
- Assistant/Associate Professor Position, Applied Mathematics,Twente (Marc Uetz)（荷兰）
- 14 PhD positions in algorithms and in stochastics (Eindhoven, Amsterdam, Leiden)（荷兰）
- Assistant/Associate Professor Position, Applied Mathematics, Twente（荷兰）
- 2 PhD Positions in Algorithmic Graph Theory (Jens M. Schmidt)
- Full-time PhD position at Telecom SudParis (France)（法国）
- PhD Position at Ecole des Mines de Saint-Etienne ,Gardanne (South of France)（法国）
- 6-Year PostDoc Position in Algorithms at TU Vienna,Austria（奥地利）
- Tenure-Track Faculty Position in Mathematics at the University of Haifa at Oranim College（以色列）
- Tenured Faculty Position at the University of Liverpool:Lecturer in Artificial Intelligence (Konev, Boris)（英国）
- PhD and postdoc position in algorithms at University of Salzburg (Austria)（奥地利）
- PhDs and PostDoc positions in the Netherlands（荷兰）
PhD and Postdoc Positions in Mathematical Programming at Johannes Kepler University Linz, Austria（奥地利）
The Institute of Production and Logistics Management at the Johannes Kepler University Linz, Austria, is inviting applications for PhD and Postdoc positions within FWF and LIT-funded projects in different areas of mathematical programming:
One or two 1- to 1,5-year Postdoc Positions within the project "MOMIP: Multi-Objective Mixed-Integer Programming" (funded by the Austrian Science Fund (FWF))
The project concerns the further development of generic branch-and-bound based methods for bi-objective and three-objective (mixed) integer optimization problems.For further information please contact Prof. Sophie Parragh (sophie.parragh@jku.at).
Starting date: as soon as possible.
2-year PhD Position (30 hours/week) within the LIT-funded project "HEROpt - Solution algorithms for hierarchical optimization problems" (funded by the Linz Institute of Technology (LIT))
The project concerns the development of generic exact solution algorithms for bilevel optimization problems and interdiction problems, as well as algorithms for special classes of optimization problems with a bilevel-type structure, such as competitive facility location problems. For further information please contact Dr. Markus Sinnl
(markus.sinnl@jku.at).
Starting date: August 1, 2020.
3-year PhD position within the FWF-funded project "Hybrid Algorithms for Redesigning MRP"
The project "Hybrid Algorithms for Redesigning MRP" is a joint project with the University of Applied Sciences Upper Austria. The part carried out at JKU mainly concerns the (further) development of two- and multi-stage stochastic optimization models for medium-term production planning and the design and implementation of appropriate optimization algorithms. For further information please contact Prof. Sophie Parragh
(sophie.parragh@jku.at).
Starting date: October 1, 2020.
Candidates interested in one or more of the above positions should have
* PhD/Master?s degree in Operations Research, Industrial Engineering,
Computer Science or a related field
* C++/python/Java/Julia programming skills
* experience with Gurobi or CPLEX
* experience in the implementation of optimization alogrithms
* a background in mathematical programming (especially mixed integer
programming) and optimization
* a strong interest in the respective area of the research project.
The salary follows FWF-rules for doctoral/postdoctoral candidates:https://www.fwf.ac.at/en/research-funding/personnel-costs/
Participation and presentations at scientific conferences are expected and will be funded.
If you are interested in working in a young international research team at one of the nicest campus universities in Austria, only 1 hour and 20 minutes by train from Vienna, please send the following documents
* motivation letter
* detailed CV
* certificates
* list of MSc or PhD courses and grades
* PhD/Master?s thesis (if in another language than English, a three-page
abstract in English)
* reference letter from your supervisor
* list of publications
to plm@jku.at, until May 15, 2020. Please indicate in your motivation letter in which position(s) you are interested.
Applications will be considered until the positions are filled.
The Johannes Kepler University wishes to increase the proportion of academic female faculty and, for this reason, especially welcomes applications by qualified women. If applicants are equally qualified, a woman will be given preference for this position. The university welcomes applications from qualified applicants with physical disabilities. These applications will be given special consideration.
Assistant/Associate Professor Position, Applied Mathematics,Twente (Marc Uetz) （荷兰）
University of Twente
Deptertment of Applied Mathematics
has an opening for 1 new position on the level of assistant or associate professor (f/m).
The position is in any one of the focus areas of the department, which are Computational Science, Data Science & Statistics, and Operations Research.
The position comes with a reduced teaching load in the first few years.
For more details on the position, the department, the university, and how to apply,
visit the online application portal via the following link.
Applications should be received until June 15, 2020.
Marc Uetz
Mathematics of Operations Research, University of Twente
14 PhD positions in algorithms and in stochastics (Eindhoven, Amsterdam, Leiden)（荷兰）
14 PhD Positions in Algorithmics and Stochastics, in the NETWORKS project (the Netherlands)
The NETWORKS project is a collaboration of world-leading researchers from four institutions in The Netherlands: TU Eindhoven<https://www.youtube.com/watch?v=Bxx8oosZf9Q&feature=youtu.be>, University of Amsterdam<https://youtu.be/KIZMIdZ0ljo>, Leiden University<https://www.youtube.com/watch?v=3gDfOvufoQQ> and the Centrum Wiskunde & Informatica (CWI)<https://www.youtube.com/watch?v=XCfI7_rLeho>. Research in NETWORKS focuses on stochastics and algorithmics for network problems. NETWORKS offers a highly stimulating research environment and an extensive training program for PhD students.
Recently NETWORKS was awarded a COFUND grant the Marie Sk?odowska-Curie Actions, funded by the European Commission. The grant allows NETWORKS to expand its activities by opening positions for an additional 14 PhD students. As a NETWORKS-COFUND PhD student you can define your own PhD project in algorithms or stochastics, in collaboration with your NETWORKS supervisors.
Application deadline
31 May 2020
Contract
full time employment contract for 4 years
Salary indication
from 2.325 to 2.972 in 4 years
Location
The Netherlands (Amsterdam, Eindhoven, Leiden)
Are you interested in the stochastics and algorithmics behind network problems And would you like to be part of this project with its many activities? Then go to
On this website you can find an extensive information package about the positions and possible NETWORKS supervisors, and further details about the application procedure. Applying should also be done through the above website.
Assistant/Associate Professor Position, Applied Mathematics, Twente University of Twente（荷兰）
Deptertment of Applied Mathematics has an opening for 1 new position on the level of assistant or associate professor (f/m).
The position is in any one of the focus areas of the department, which are Computational Science, Data Science & Statistics, and Operations Research.
The position comes with a reduced teaching load in the first few years.
For more details on the position, the department, the university, and how to apply,visit the online application portal via the following link.
Applications should be received until June 15, 2020.
Marc Uetz
Mathematics of Operations Research, University of Twente
2 PhD Positions in Algorithmic Graph Theory (Jens M. Schmidt)
We announce openings for up to 2 PhD positions in Algorithmic Graph Theory, each for 2-3 years. The positions begin at the end of 2020 and come with social security and generous travel money. The competitive salary depends on the applicants qualification and is in the range 66%-100% E13 (about 30.000-50.000 Euro/year gross).
The PhD students will join the project "Resilient Broadcasting via Independent Spanning-Trees" and be supervised by Jens M. Schmidt. The research focus will be on algorithmic graph theory for connectivity problems in graphs. As this is at the intersection of discrete mathematics and theoretical computer science, candidates should have an excellent background in structural graph theory and/or efficient
algorithms. Solid English mathematical writing skills and basic teaching experience are desirable.
Applicants should send their application until July 10th by email to jens.schmidt@tu-ilmenau.de as a single PDF-file containing
- curriculum vitae (including a list of publications if there are any)
- a list of courses and grades, and a scan of the diploma
- a summary of the (possibly preliminary) thesis (max. 1 page)
- names and emails of one or two references (including thesis advisor)
Informal inquiries about the positions can be made by writing to the
same email address.
Full-time PhD position at Telecom SudParis (France)（法国）
Telecom SudParis (Graduate school of engineering, France) invites applications for a full-time PhD student position.
This is a 3-year PhD studentship open to candidates of any nationality.
The position involves the design, theoretical analysis and implementation of optimization methods for variable selection in statistics.
We are looking for a highly motivated candidate with a strong background in mathematics and computer science. He/She should have recently completed a master's degree or should be about to complete it. The position should start in September or October 2020.
An application should be sent by email to both contacts reported at the end of this message and should include:
-a CV
-a letter of motivation
-transcripts
-the names and contact information of two references.
Deadline for applications is May 27, 2020.
Telecom SudParis ( [ https://www.telecom-sudparis.eu/en/ | https://www.telecom-sudparis.eu/en/ ] ) is located about 30 km south of Paris. It belongs to the ‘Institut Polytechnique de Paris'( [ https://www.ip-paris.fr/en/home-en/ | https://www.ip-paris.fr/en/home-en/ ] ),
a leading educational institution both in France and internationally.
For questions regarding this position, please contact : Walid Ben-Ameur ( walid.benameur@telecom-sudparis.eu ), and Jos? Neto ( jose.neto@telecom-sudparis.eu )
PhD Position at Ecole des Mines de Saint-Etienne ,Gardanne (South of France)（法国）
A PhD position is available at the Ecole des Mines de Saint-Etienne/UMR
CNRS LIMOS 6158 at Gardanne (in the South of France).
Manufacturing Sciences and Logistics Department (SFL) of Georges Charpak
Provence Campus from Ecole des Mines de Sain-Etienne(https://www.mines-stetienne.fr/en/research/scientific-departments/manufacturing-sciences-logistics-department-sfl/) has a thesis scholarship on an integrated scheduling and transport problem. More precisely, the subject is linked to automated transport in industry 4.0. The idea is to integrate transport,scheduling and storage to improve production.
For more details, you can send an email to yugma@emse.fr
Candidate Profile: Applicants must have a Master's Degree (or equivalent) in Operations Research or equivalent (engineering degree, Applied Mathematics, Computer Science). Applicants should demonstrate programming skills in the following fields: IT development (C / C ++, Java, etc.), data sciences.
Salary around 1200
Keywords: operations research, combinatorial optimization, simulation.
Duration: The position is for three years starting in September/October
2020.
The supervision will be carried out by Prof. Claude Yugma and Prof.
St phane Dauzre-Prs.
To apply, please send the following documents to Yugma@emse.fr: CV,
motivation letter, diploma scan, latest transcripts, and a letter of
recommendation.
Regards,
Claude Yugma
--
Claude Yugma
Professor
Center of Microelectronics in Provence, EMSE-CMP
LIMOS - UMR CNRS 6158
Mines Saint-Etienne
Campus G. Charpak Provence
880 avenue de Mimet
F-13541 Gardanne
France
Tel: +33(0)4 42 61 66 64
Fax: +33(0)4 42 61 65 91
E-mail: Yugma@emse.fr
URL: http://cmp.mines-stetienne.fr/
6-Year PostDoc Position in Algorithms at TU Vienna,Austria（奥地利）
The Algorithms and Complexity Group at TU Wien, Vienna, Austria (https://www.ac.tuwien.ac.at) is offering a 6-year postdoc position in Algorithms.
Requirements:
- Completed doctoral study in Computer Science or a related area
- Excellent Knowledge in the field of algorithms and complexity
- Excellent publications in top-tier conferences and journals
- Very good communication skills and an interest in teaching
- Research experience in at least one of the following areas:
parameterized algorithms and complexity
algorithmic applications of graph decompositions
satisfiability and constraint satisfaction
- A good command of the German language is desirable
We offer:
- A stimulating scientific environment
- Continuing support in personal and academic carrier development
- Outstanding opportunities for collaboration
- Work place in a central location in one of the most liveable cities in the world
*** Application deadline is May 28, 2020 ***
TU Wien is committed to increase female employment in leading scientific positions. Female candidates are explicitly encouraged to apply. Preference will be given when equally qualified.
Applications should be submitted by e-mail to Manuela Reinharter <manuela.reinharter@tuwien.ac.at> and should contain:
- Letter of motivation
- CV
- List of publications
- Short research statement
- Three of the most important publications
- Contact information of three referees
Expected start: 1.10.2020 (negotiable)
The official call can be found in the University Bulletin 8/2020, https://tiss.tuwien.ac.at/mbl/blatt_struktur/anzeigen/10403#p192.4
For informal inquiries, please contact Univ.Prof.Dr. Stefan Szeider <sz@ac.tuwien.ac.at>.
Tenure-Track Faculty Position in Mathematics at the University of Haifa at Oranim College（以色列）
Department of Mathematics-Physics-Computer Science of the University of Haifa at Oranim College invites applications for a tenure-track faculty position in all areas of mathematics, to begin October 1st 2020 or March 1st 2021.
The department seeks individuals with excellent research experience and strong commitment to undergraduate teaching. A Ph.D. in mathematics and postdoctoral experience are required, as well as the ability to teach in Hebrew.
Applications should include a detailed C.V. including a list of publications, a research statement and a teaching statement including teaching experience and students surveys if exist.
Applicants should also arrange for three letters of recommendations, as well as the application, to be sent to the department head by e-mail at:
Dr. Eyal Ackerman
ackerman@sci.haifa.ac.il
There is no fixed deadline, applications will be considered as they arrive
until the position is filled.
Tenured Faculty Position at the University of Liverpool:Lecturer in Artificial Intelligence (Konev, Boris)（英国）
Closing date: 01-Jun-2020 23:30
Hours of Work: Full Time (also can be Job Share, flexible / part time - minimum of 0.5FTE)
Tenure: Permanent
A post for a Lecturer in Artificial Intelligence (AI) is available in the Department of Computer Science, University of Liverpool. The appointment will be based on the academic quality or potential of the candidates. We are looking to appoint an academic with expertise in a core area of Artificial Intelligence; however, exceptional individuals with an excellent track record of research in other areas of Computer Science related to AI will also be considered.
Specific areas of expertise that we would value include, but are not limited to:
- AI in Law;
- Computer Vision;
- Embodied Intelligence;
- Data Science;
- Ethical AI;
- Explainable and Trusted AI;
- Human-robot Interaction;
- Natural Language Processing;
- Security and Privacy of AI;
- Symbolic AI;
- Theory of Machine Learning.
You should have a PhD in Computer Science or a relevant discipline and a strong research track record. You will undertake research and will contribute to teaching in the Department of Computer Science on our undergraduate or postgraduate degree programmes, which include the new MSc in Artificial Intelligence and Data Science.
You will also be encouraged to engage with other internal and external collaborators through initiatives at the Faculty and the University level, for example, through the new University-level research theme on the topic Digital, https://www.liverpool.ac.uk/research/research-themes/digital/.
We value the diversity of our department and welcome applications from all sectors of the community. We recognise that many individuals value flexibility in their work/life balance and we will consider applications to work on a part-time, flexible and job share basis wherever possible (a minimum of 0.5 FTE). We are working to improve the gender balance in the Department of Computer Science, and we particularly welcome applications from women.
Please note that in terms of responsibilities and recognition, the position of a newly appointed lecturer in the UK is comparable to that of an assistant professor in the United States.
The application deadline is June 1st and full details of the position are given on our recruitment website, http://recruit.liverpool.ac.uk/ job reference 018761.
Information about the Department of Computer Science at the University of Liverpool can be found on our webpages, https://www.liverpool.ac.uk/computer-science/.
Informal enquiries to Professor Boris Konev, email: Konev@liverpool.ac.uk<mailto:Konev@liverpool.ac.uk>
PhD and postdoc position in algorithms at University of Salzburg (Austria)（奥地利）
Two positions, one for a PhD student and one for a postdoc, are available in the project "Distributed Algorithms for Fundamental Graph Problems (DiAloG)" led by Assistant Professor Sebastian Forster (https://www.cs.sbg.ac.at/~forster) from the Efficient Algorithms Group at the University of Salzburg, Austria. The main goal in this project is to design new algorithms with theoretical guarantees for fundamental graph problems, like maximum flow and shortest paths, in distributed models of computation such as the CONGEST model.
PHD POSITION:
* The position has a duration of three years with the possibility of extension by another year.
* A strong interest in theory/algorithms/math is required.
* The start date is negotiable.
* Salary according to the funding scheme of the Austrian Science Fund (FWF): 30000 EUR gross/year for 30 hours/week
* Application deadline: To receive full consideration, please send your application by June 14, 2020.
If you are interested in this position, please send your CV, a short letter of motivation, the (tentative) abstract of your Master's thesis, and a transcript of your courses and grades to forster@cs.sbg.ac.at. Please use the same address for informal inquiries as well.
POSTDOC POSITION:
* The position has a duration of one year with the possibility of extension by another year.
* Research experience in efficient graph algorithms is required, but not specifically in the distributed setting.
* The start date is negotiable.
* Salary according to the funding scheme of the Austrian Science Fund (FWF): 54000 EUR gross/year for 40 hours/week
* Application deadline: To receive full consideration, please send your application by June 14, 2020.
If you are interested in this position, please send your CV including a list of publications, a short letter of motivation, and the names of two references to forster@cs.sbg.ac.at. Please use the same address for informal inquiries as well.
PhDs and PostDoc positions in the Netherlands（荷兰）
5 PhD and 6 Postdoc Positions available in the Netherlands.
Optimization for and with Machine Learning (OPTIMAL) OPTIMAL is a Dutch ENW-groot project funded by NWO (2019-2025), offering 5 PhD and 6 PostDoc positions in the Netherlands, starting from September
2020 or later.
Short description of the research project:A key component of machine learning is mathematical optimization,that is used, for example, to train neural networks. The goal of this project is to provide new analysis and tools for optimization problems and algorithms arising in machine learning, but also to use
insights and tools from machine learning to improve optimization methods. This explains the project title 'Optimization for and with machine learning'. The project consists of four connected workpackages. The first two workpackages are related to 'optimization for machine learning'. In the first workpackage we
will investigate why the optimization methods currently used in machine learning are often successful in practice and analyze the limits of their computational tractability. The second workpackage is aimed at enhancing the existing optimization algorithms and developing new ones to obtain more accurate machine learning models in an efficient way. The last two workpackages are related to 'optimization with machine learning'. The third workpackage is aimed at using machine learning to obtain data-centric approximation and optimization algorithms. We will develop algorithms that adapt to the specific data characteristics of the problem instance. The advantage of such data-centric algorithms is more accurate solutions and/or less computation time. In the fourth workpackage we will develop a data-centric optimization modeling approach. In such an approach parts of the resulting optimization model are obtained via machine learning. This data-centric modeling can be used to get more accurate models or can be used in cases where there is no theoretical knowledge available to build the model manually. In addition, we will test our insights on a variety of applications where the consortium members are already involved, including classification problems in the medical sciences, decision problems related to the UN World Food Programme,and routing of shared, self-driving cars.
The institutes and researchers involved in OPTIMAL:
Tilburg University, Tilburg (Dick den Hertog, Etienne de Klerk)
CWI, Amsterdam (Nikhil Bansal, Monique Laurent, Leen Stougie)
Delft University of Technology (Karen Aardal, Leo van Iersel).
List of workpackages WP1:
Performance analysis of optimization methods for machine learning.The optimization model used to train the machine learning model has mathematical properties that could make it hard to solve. However, in practice it can often be solved efficiently with rather simple optimization algorithms. This is an enigmatic feature of machine learning: it often works, but it is not well understood why it works. The goal of this workpackage is to understand the success of these simple optimization methods, and to analyze the limits of its computational tractability. WP2: New optimization methods for machine learning. In this workpackage we will develop new optimization methods for obtaining more accurate machine learning models in a more efficient way. The main objectives in this workpackage will be to investigate and exploit structural properties of data, which can be geometric, algebraic or combinatorial, for the design of dedicated solution approaches. In particular we will investigate the use of polynomial functions in machine learning. The resulting training problem is a so-called polynomial optimization problem that has been extensively studied in the optimization field in recent years. Moreover, we will focus on better optimization methods for classification trees. WP3:Data-centric algorithm design. When we are faced with an optimization problem there are two main alternatives for finding solutions. We can either develop an optimization algorithm for finding a provably best solution, or we can settle for a
high-quality solution that is obtained "fast" through an approximation algorithm. For optimization algorithms we will investigate how machine learning can be used to guide the search to an optimal solution. When approximating, it is a challenge to derive algorithms that are not only guaranteed to perform well in the worst-case sense, as is mainly done today, but more interestingly for data that actually occur. We will develop new theoretical concepts for a beyond-worst-case analysis that incorporates data. In addition, we will develop algorithms that have a guaranteed performance according to the developed theory. WP4: Data-centric modeling. Traditionally, an optimization model is built manually,but this is not always possible as some restrictions do not easily "translate" into mathematical functions. We will investigate how to use machine learning to generate a (part of the) model for a given
problem based on the available data. Hence, this results in optimization models that contain, e.g., a deep learning model or a random forest. The machine learning model is added as a constraint to the manually developed model. In this workpackage we will analyze which machine learning techniques can best be used, and how to solve optimization models that also contain nonlinear functions that result from machine learning.
Submission Guidelines:
To apply for one or more of these PhD or PostDoc positions, the applicant can find more information on the following websites or can request for more information by e-mail:
PhD (WP2) and PD (WP3) position of Nikhil Bansal:
https://www.win.tue.nl/~nikhil/Vacancies.html
PhD (WP4) and PD (WP4) position of Dick den Hertog:
D.denHertog@tilburguniversity.edu
PhD (WP1) and PD (WP1) position of Etienne de Klerk:
https://sites.google.com/site/homepageetiennedeklerk/postdoc-phd-positions-available
PD (WP2) position of Monique Laurent:
https://homepages.cwi.nl/~monique/optimal/
PhD (WP3) and PD (WP2) position of Leen Stougie / Leo van Iersel:
https://leovaniersel.wordpress.com/positions/
Between brackets we have indicated to which workpackage the PhD or
Postdoc position is related.
The deadline for submission is June 7, 2020. (Exception: deadline
for PhD and PD positions of Leen Stougie / Leo van Iersel: June 30,
2020.) However, the positions may be reopened later.
Contact Questions about submissions or workpackages should be
emailed to the corresponding OPTIMAL researcher mentioned above.
General questions on OPTIMAL should be emailed to the project leader
of OPTIMAL: Dick den Hertog (D.denHertog@tilburguniversity.edu).
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