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Bolsa de Ofertas

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Finalizado

Fecha de cierre

17 Oct, 2023 PhD Position in Electrical Vehicles optimization under uncertainty
21 Jul, 2023 Tenure Track Assistant Position
15 Jun, 2023 Open postdoc position at TU Munich (Germany)
01 Jun, 2023 PhD and Postdoc positions the Research Group "Quantum Information and Quantum Many-Body Physics" at University of Vienna
21 Apr, 2023 Call for expression of interest for various positions in the Math Department-Politecnico di Milano, Italy
16 Apr, 2023 PhD and postdoc at University of Amsterdam (the Netherlands)
15 Apr, 2023 PhD and postdoc at University of Amsterdam (the Netherlands)
14 Apr, 2023 PhD Position at Univ. Leipzig in cooperation with Max Planck IMPRS Graduate School Leipzig
14 Apr, 2023 Two postdoc positions at Chalmers and University of Gothenburg (Sweden)
31 Mar, 2023 Postodoctoral fellowship in network modelling at the University of Southern Denmark
31 Mar, 2023 Ph.D Position in Cryptography between Los Andes (Systems Engineering) and the Cryptography Research Center at Technology Innovation Institute, United Arab Emirates,
29 Mar, 2023 Financial Econometrics DFG PhD Position at TU Dresden (by Ostap Okhrin)
23 Mar, 2023 Opening position of Assistant Professor in Probability Theory at Chalmers (Sweden)
21 Mar, 2023 University Assistant (post doc), at the Department of Statistics and Operations Research
17 Mar, 2023 PhD fellowship: Flexible geometry model for corrosion inhibitor particle systems at Fraunhofer Society, Kaiserslautern, Germany
01 Feb, 2020 Open Doctoral/Postdoctoral Position (100%) in Data Science at TU Munich, Germany
31 Jan, 2020 Ph.D. Students / Postdocs in Algorithms at Hasso Plattner Institute Potsdam, GErmany
31 Jan, 2020 PhD studentship in stochastics at U Twente, the Netherlands
31 Jan, 2020 Open position as Postdoctoral Researcher in Bayesian statistical learning at HU Berlin, Germany
31 Jan, 2020 PhD position LMU Munich, Germany
 

OFERTAS

PhD Position in Electrical Vehicles optimization under uncertainty

Fecha 17 Oct, 2023
Información Electric vehicles (EVs) are a rapidly emerging transportation technology that holds great promise for addressing the challenges of fossil fuel dependence and reducing greenhouse gas emissions. These vehicles are powered by electricity stored in rechargeable batteries, offering a clean and sustainable alternative to traditional internal combustion engine vehicles. EVs have gained significant attention in recent years due to advancements in battery technology, which have led to improved driving ranges and reduced charging times. In addition to their environmental benefits, EVs offer lower operating costs and potential grid integration for energy storage and demand response. With supportive government policies, expanding charging infrastructure, and increasing consumer acceptance, electric vehicles are poised to revolutionize the transportation sector and play a crucial role in achieving a sustainable and low-carbon future. Uncertainty arising from factors such as weather conditions, demand fluctuations, international geo-politics, and supply variability poses a considerable obstacle to efficient energy utilization. This PhD proposal aims to address these challenges by developing a data-driven optimization framework for EVs under uncertainty.
Research Objectives
The primary objectives of this research are threefold:
a) To investigate the application of stochastic game theory, stochastic geometric programming, and related optimization methods to understand, model, and enhance network effects within the context of electric vehicle (EV) distributed storage systems.
b) To design optimization algorithms that utilize the uncertain data to optimize incentives for EV owners to participate in the distributed storage system while ensuring the overall efficiency and resilience of the grid.
c) To evaluate the performance of the proposed framework in realistic EVs platforms, considering various uncertainty sources.
Methodology
In this research, we will focus on developing robust and flexible models to represent the uncertain parameters in the energy generation and EV integration (charging and/or discharging). This will involve statistical techniques, machine learning algorithms, and stochastic optimization approaches to capture the uncertainty associated with energy generation, demand, and storage, where the goal is to be able to provide a framework for vehicule-to-grid integration. We will explore methods such as chance constraints, two-stage stochastic optimization, multistage optimization, Markov decision processes, and scenario generation to quantify and represent uncertainty accurately.
We will develop optimization algorithms that can effectively handle the uncertainty in EVs. The algorithms will integrate the uncertain data into mathematical programming models, allowing for the determination of optimal EV storage strategies, and demand response actions.
The following topics will be employed to balance the trade-off between cost, reliability, and environmental sustainability.
Game Theory: Explore how game theory can be applied to model the behavior of EV owners in the context of a distributed storage system under uncertainty. Investigate strategic interactions among the EV owners and how these interactions influence their decision to participate in the system.
Geometric Programming and Optimization Techniques: Develop geometric programming models and optimization algorithms to design and optimize random incentive structures for EV owners. Evaluate how these incentives can maximize system-wide benefits while ensuring fairness among participants.
Machine Learning Techniques: Implement machine learning algorithms to analyze and predict EV owner behavior, simulate network growth, and analyze the emergence and impact of network effects. Use these insights to refine the incentive structures dynamically.
Network Effects: Study the dynamics of network effects in the context of EV distributed storage systems. Understand how network effects can be harnessed to boost system performance and accelerate the adoption of the storage system.
Integration of Approaches: Combine stochastic game theory, stochastic geometric programming, optimization techniques under uncertainty, and machine learning in a unified framework. Investigate how these techniques can complement each other in the design and optimization of a distributed storage system.
Practical Implementation and Validation: Test the proposed models, algorithms, and techniques in real-world settings. Validate their performance using data from actual EV distributed storage systems. Reflect on the practical implications and potential limitations of the proposed research.
To assess the effectiveness of the proposed framework, we will evaluate its performance using real-world EV systems. Case studies will be conducted on representative power grids or microgrids, considering different uncertainty scenarios and system configurations. Performance metrics such as cost minimization, reliability improvement, and carbon footprint reduction will be analyzed to demonstrate the advantages of the proposed approach compared to existing methods.
Expected Contributions
The anticipated contributions of this research include:
a) A comprehensive understanding of uncertainty sources in EV systems and their impact on energy management.
b) Advanced modeling techniques to accurately represent uncertainty in EV together with energy generation, demand, and storage.
c) Development of optimization algorithms that integrate uncertain data into decision-making processes for optimal EV.
d) Practical insights and guidelines for policymakers and energy managers to enhance EV system performance under uncertainty.
Timeline
The proposed research is a part of collaboration between Youree, FrenchTech labeled startup dedicated for vehicule to grid integration technologies, and Laboratoire des Signaux et Systemes
Enlaces Contact:
Prof. Abdel Lisser
CentraleSupelec, L2S
Universit


Tenure Track Assistant Position

Fecha 21 Jul, 2023
Información The Instituto de Matemáticas at the Universidad National Autónoma de México (UNAM) seeks candidates for a full-time tenure-track professor position in algebra, starting on November 16th 2023 or later*, at the branch of the Institute in Oaxaca. The position is part of a program called SIJA that looks for hiring young applicants. So there are the following restrictions: At the moment of starting the position, women should not be older that 39 years old and men should not be older than 37 years old. UNAM is the leading university in México, and among the strongest research math institutions in Latin America. The Institute has more than 90 full time researchers covering many areas of mathematics. More information about the Institute and the university can be found in www.matem.unam.mx. Qualifications include postdoctoral experience (or equivalent), effective communication skills, commitment to teaching excellence, and an active research program in mathematics. Responsibilities include, maintaining a strong research program, teaching one course per semester at the undergraduate or graduate level in a topic of interest to the candidate, and advising students. Applications must include a cover letter, a curriculum vitae, including a list of publications, and a research plan. Evidence of teaching interest and abilities may also be included. Additionally, at least two letters of recommendations must be sent separately. Letters of recommendation should be uploaded to MathJobs by the recommender. Applicants must use the service provided by the AMS at www.mathjobs.org to submit an applications. The documents can be written in English or Spanish. * The starting date is flexible and it also depends on the time needed for the migration paperwork required if the candidate is not Mexican.
Enlaces https://www.mathjobs.org/jobs/list/22567


Open postdoc position at TU Munich (Germany)

Fecha 15 Jun, 2023
Información Dear Colleague,

In my group there is an open postdoc position. The position is quite
flexible regarding area as well as the duration (at least two years
guaranteed, extension most likely possible). More details can be found here:

http://www.multiscale.systems/PDF_files/jobs16.pdf

Best regards,
Christian Kuehn
Enlaces http://www.multiscale.systems/PDF_files/jobs16.pdf


PhD and Postdoc positions the Research Group "Quantum Information and Quantum Many-Body Physics" at University of Vienna

Fecha 01 Jun, 2023
Información PhD and Postdoc positions are available in the Research Group "Quantum Information and Quantum Many-Body Physics", led by Norbert Schuch, at the University of Vienna.

Possible topics range from quantum information and computation to quantum many-body physics, with a focus on tensor networks and related methods.

In particular, possible topics include:
Tensor network theory, classification of phases, mathematics of quantum many-body systems
Tensor network algorithms and simulation methods for quantum many-body systems
Topological order and spin liquids
Quantum Algorithms (in particular for the simulation of many-body problems and for NISQ devices)
Entanglement Theory
Quantum Complexity Theory, Hamiltonian Complexity
More information on the group and topics can be found at https://schuch.univie.ac.at/.

Candidates interested in the above topics or in related areas are encouraged to apply. PhD candidates should have a background in theoretical physics, mathematics, or computer science; skills specific to the chosen research project are not a prerequisite and can be acquired during the course of the PhD. Postdocs should either have demonstrated a background in a related field of research, or otherwise clarify why they would like to change research directions; again, there is the opportunity to acquire specific additional skills as needed.

Applications should be emailed to schuch-office.quantum@univie.ac.at, Subject: "PhD Application" or "Postdoc Application", and contain the following material:

1) For PhD applicants: A comprehensive CV (including certificates & grades from bachelor and master studies), a brief cover letter (max. 1 page), explaining the motivation for joining the group, and the contact data of at least one referee who can provide a letter of recommendation upon request; preferably all in one PDF file.

2) For Postdoc applicants: A comprehensive CV (including a list of publications & talks), relevant certificates and grades, a brief description of future research plans (roughly 1-3 pages), and the contact data of at least two referees who can provide a letter of recommendation upon request; preferably all in one PDF file.

Deadline for initial consideration is June 1st, 2023, but later applications will be considered until the positions are filled; see https://schuch.univie.ac.at/join-us/ to check whether the call is still open.

Starting dates are flexible. For more information, including salaries, benefits, etc., see https://schuch.univie.ac.at/join-us/.
Enlaces https://schuch.univie.ac.at/join-us/


Call for expression of interest for various positions in the Math Department-Politecnico di Milano, Italy

Fecha 21 Apr, 2023
Información Thanks to the award of “Excellence Department” obtained from the Italian Ministery (MUR), the Department of Mathematics, Politecnico di Milano, Italy (www.mate.polimi.it) is seeking expressions of interest for Associate or Full Professor (permanent position) and tenured-track positions, to be covered starting from 2023 by outstanding scientists. Candidates in all areas of pure and applied mathematics will be considered and are invited to submit their files (see below). In particular, candidates with research interests related to the topics below are particularly welcome: - mathematical analysis, functional analysis, PDEs in fluid mechanics, elasticity, fluid-structure interactions - mathematics for quantum mechanics with attention to its analytical, geometrical and probabilistic features - development and analysis of differential models (PDEs) and their numerical implementation, focusing on some applications to sustainable development issues and biomedicine. Some experience in scientific computing, high-performance computing, or the application of scientific machine learning to this class of problems is appreciated. Successful candidates will be expected to contribute to the activities of the Department, in particular by doing: - Research, by developing/defining research projects, attracting funding, and disseminating their results through top-level publications. - Teaching, by offering courses for approximately 120 hrs per year (this translates to 2 courses per year) to students at the undergraduate and graduate level. - Management, by serving in committees and boards of our university. Candidates applying for professorship must have obtained the Italian national habilitation (ASN) for associate/full professor (see http://abilitazione.miur.it/public/index.php for applications), or must already hold an equivalent certified academic position. Salary is conformal to national standards. Taxes reduction may apply for 5 or more years according to the Italian rules. Interested candidates are kindly requested to submit via the link https://www.mate.polimi.it/forms/call_for_interest.php the following material (one single compressed file): - a curriculum vitae (maximum length 5 pages) - a complete list of publications - research statement (maximum length 2 pages) - a short letter explaining their interest in working in Italy and, in particular, at the Department of Mathematics, Politecnico di Milano (maximum length 1 page) Applications to be considered should reach within April 21, 2023, 5 pm (CET time). The official email of the procedure is call-dmat@polimi.it Disclaimer Please note that this is a call for interest only, and not a job vacancy advertisement, and that the Department can decide on its own whether or not to open a position and at which level. The actual selection for a position will be based on a public selection procedure pursuant art. 18, comma 1 and 4, of Italian Law 240/2010 _______________________________________________ St-net mailing list St-net@groups.tu-dresden.de To unsubscribe visit: / Zur Abmeldung besuchen Sie: https://mailman.zih.tu-dresden.de/groups/listinfo/st-net --------------------------------------------------------------------------- Dies ist das ST-NET, der (moderierte) Mail-Verteiler der DMV-Fachgruppe Stochastik e.V. Weitere Informationen finden Sie auf unserer Homepage: http://www.fg-stochastik.de This is ST-NET, the (moderated) mailing list of the DMV-Fachgruppe Stochastik e.V. For further information, please refer to our homepage: http://www.fg-stochastik.de Please note the guidelines for posting at http://www.fg-stochastik.de/beitraege-verschicken.html
Enlaces https://www.mate.polimi.it/forms/call_for_interest.php


PhD and postdoc at University of Amsterdam (the Netherlands)

Fecha 16 Apr, 2023
Información PhD and Postdoc positions at the University of Amsterdam

The Research Centre for Longevity Risk at the University of Amsterdam is inviting applications for two PhD positions and two postdocs.
We are looking for candidates who are willing to apply their knowledge of statistics, economics/econometrics, demography, actuarial science, and related fields to the study of trends, models and consequences of longevity. Successful candidates will be part of a team of UvA researchers at the centre who study developments in survival rates and life expectancy, how these developments are influenced by a variety of factors, and how an increasing life span affects the economy and wider society. This includes the development of mathematical models for demographic trends and medical developments, as well as models for the impact of local socio-economic conditions and the quality of our living environment on how long people live. .

Details about the PhD positions can be found at
https://www.academictransfer.com/en/324631/phd-positions-at-the-research-centre-for-longevity-risk/
or https://vacatures.uva.nl/job-invite/11290/
and details about the postdoc positions are available at
https://www.academictransfer.com/en/324632/postdoc-positions-at-the-research-centre-for-longevity-risk/
or https://vacatures.uva.nl/job-invite/11291/
Enlaces https://www.academictransfer.com/en/324631/phd-positions-at-the-research-centre-for-longevity-risk/
https://vacatures.uva.nl/job-invite/11290/
https://www.academictransfer.com/en/324632/postdoc-positions-at-the-research-centre-for-longevity-risk/
https://vacatures.uva.nl/job-invite/11291/


PhD and postdoc at University of Amsterdam (the Netherlands)

Fecha 15 Apr, 2023
Información The Research Centre for Longevity Risk at the University of Amsterdam is inviting applications for two PhD positions and two postdocs.
We are looking for candidates who are willing to apply their knowledge of statistics, economics/econometrics, demography, actuarial science, and related fields to the study of trends, models and consequences of longevity. Successful candidates will be part of a team of UvA researchers at the centre who study developments in survival rates and life expectancy, how these developments are influenced by a variety of factors, and how an increasing life span affects the economy and wider society. This includes the development of mathematical models for demographic trends and medical developments, as well as models for the impact of local socio-economic conditions and the quality of our living environment on how long people live. .

Details about the PhD positions can be found at
https://www.academictransfer.com/en/324631/phd-positions-at-the-research-centre-for-longevity-risk/
or https://vacatures.uva.nl/job-invite/11290/
and details about the postdoc positions are available at
https://www.academictransfer.com/en/324632/postdoc-positions-at-the-research-centre-for-longevity-risk/
or https://vacatures.uva.nl/job-invite/11291/

Please contact Torsten Kleinow (t.kleinow@uva.nl) if you have any questions.
Enlaces https://www.academictransfer.com/en/324631/phd-positions-at-the-research-centre-for-longevity-risk/https://vacatures.uva.nl/job-invite/11290/https://www.academictransfer.com/en/324632/postdoc-positions-at-the-research-centre-for-longevity-risk/https://vacatures.uva.nl/job-invite/11291/


PhD Position at Univ. Leipzig in cooperation with Max Planck IMPRS Graduate School Leipzig

Fecha 14 Apr, 2023
Información This is a call for applications to a vacant PhD position (50% E13, duration 3+x years) at the Mathematical Institute of Leipzig University (https://www.mathcs.uni-leipzig.de/en) in cooperation with Max Planck IMPRS Graduate School Leipzig, https://www.imprs-mis.mpg.de

Possible research topics may include

-- stochastic (partial) differential equations
-- interacting particle systems
-- optimal transport theory with applications in physics, geometry & data science,


or other related domains featured in the IMPRS research profile.

Applications or inquiries for this position should be sent to
Prof. Dr. Max v. Renesse (https://www.math.uni-leipzig.de/~renesse/),

email renesse@uni-leipzig.de.
Enlaces https://www.mathcs.uni-leipzig.de/en
https://www.imprs-mis.mpg.de
https://www.math.uni-leipzig.de/~renesse/


Two postdoc positions at Chalmers and University of Gothenburg (Sweden)

Fecha 14 Apr, 2023
Información At the Department of Mathematical Sciences at Chalmers and the
University of Gothenburg we have two open postdoc positions:

===

Postdoc position in geometric hydrodynamics

Mentor: Klas Modin, klas.modin@chalmers.se
Project: Geometric numerical hydrodynamics funded by the Swedish
Research Council (VR). The project includes components of differential
geometry, partial differential equations (PDE), and computational
mathematics. Depending on the candidate, there might also be elements of
stochastic analysis and/or statistical mechanics.
Link to announcement and application system:
https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=11586&rmlang=UK

===

Postdoc position in computational mathematics

Mentor: Annika Lang, annika.lang@chalmers.se
Project: Time-evolving stochastic manifolds funded by the European
Research Council (ERC CoG). The project includes components of
stochastic analysis, geometry, partial differential equations (PDE), and
computational mathematics.
Link to announcement and application system:
https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=11595&rmlang=UK

===

Deadline for both positions: April 14, 2023

===

I would be happy if you could forward the announcements to relevant
candidates. Please contact me or Klas Modin if you have any questions.

Best regards,
Annika Lang
Enlaces https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=11595&rmlang=UK

https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=11586&rmlang=UK


Postodoctoral fellowship in network modelling at the University of Southern Denmark

Fecha 31 Mar, 2023
Información We have an exciting new postdoc position within a transdisciplinary project at the University of Denmark, and are looking for ambitious PhD graduates with an interest in complex science and network systems. The postdoc position is for 2 years, with a possible 3rd year extension. The focus of the position is on developing network models that map how everyday psychological symptoms interact through time with a person
Enlaces https://euraxess.ec.europa.eu/jobs/81169

https://www.researchgate.net/job/990959_Postdoctoral_fellowship_in_depression_and_network_modelling


Ph.D Position in Cryptography between Los Andes (Systems Engineering) and the Cryptography Research Center at Technology Innovation Institute, United Arab Emirates,

Fecha 31 Mar, 2023
Información Description:We are looking for bright and motivated Ph.D. students to work in cryptography. Thecandidate will join a research project developed between the Systems and ComputingEngineering Department at Universidad de los Andes, Bogot
Enlaces


Financial Econometrics DFG PhD Position at TU Dresden (by Ostap Okhrin)

Fecha 29 Mar, 2023
Información At the "Friedrich List" Faculty of Transport and Traffic Sciences, Institute of Transport and Economics, the Chair of Econometrics and Statistics, esp. in the Transport Sector offers a position as


Research Associate (m/f/x)


(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)starting as soon as possible. The position comprises 75% of the fulltime weekly hours and is limited to 3 years.


The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz-WissZeitVG). The position offers the chance to obtain further academic qualification (e.g. PhD).Tasks: Research work to fulfill below-listed objectives. Own research activities as well as publications in international journals are explicitly desired and expected.


The following goals are to be advanced within the framework of a DFG project:
Enlaces https://tu-dresden.de/bu/verkehr/ivw/osv/die-professur/news/news/wanted-research-associate-dfg


Opening position of Assistant Professor in Probability Theory at Chalmers (Sweden)

Fecha 23 Mar, 2023
Información Dear Colleagues,
Sorry for cross-posting!
This is to inform you that Chalmers University of Technology in
Gothenburg, Sweden, has just announced a position of Assistant Professor
in Probability Theory.

Please, draw attention of your colleagues who may be interested in applying.
Al the best!
Sergei
Enlaces See the details here:https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=p11464


University Assistant (post doc), at the Department of Statistics and Operations Research

Fecha 21 Mar, 2023
Información Good command of English, and Computer Skills.Application documents:Letter of motivation, academic CV, list of publications, list of courses given/evidence of teaching activities, list of talks given, description of research interest, contact details of people that could provide a letter of referenceResearch fields:Main research field Special research fields Importance Economics Economic statistics MUST Applications including a letter of motivation (German or English) should be submitted via the Job Center to the University of Vienna (http://jobcenter.univie.ac.at) no later than 21.03.2023, mentioning reference number 13847.For further information please contact P
Enlaces http://jobcenter.univie.ac.at


PhD fellowship: Flexible geometry model for corrosion inhibitor particle systems at Fraunhofer Society, Kaiserslautern, Germany

Fecha 17 Mar, 2023
Información Von: Katja Schladitz
-----

PhD fellowship: Flexible geometry model for corrosion inhibitor particle
systems

The Image Processing department of the Fraunhofer Institute for
Industrial Mathematics in Kaiserslautern is looking for a highly
motivated Ph.D. student who develops a Flexible geometry model for
environmentally friendly corrosion inhibitor particle systems.

Coatings that actively counteract corrosion have been used for a long
time, do however often still contain toxic chromates. Structural
optimization based on stochastic germ-grain models can help to find
environmentally friendly alternatives. The challenge is to model the
high variability and the interaction of several structural components
and to extract the needed structural information from 3D images.

For more information please refer to:

https://jobs.fraunhofer.de/job/Kaiserslautern-%C2%BBPhD-grant-Flexible-geometry-model-for-corrosion-inhibitor-particle-systems%C2%AB-67663/880907801/
Enlaces https://jobs.fraunhofer.de/job/Kaiserslautern-%C2%BBPhD-grant-Flexible-geometry-model-for-corrosion-inhibitor-particle-systems%C2%AB-67663/880907801/


Open Doctoral/Postdoctoral Position (100%) in Data Science at TU Munich, Germany

Fecha 01 Feb, 2020
Información Von: Drton, Mathias
-----

Betreff: For the St-Net

Open Doctoral/Postdoctoral Position (100%) in Data Science at TUM

The Department of Mathematics at the Technical University of Munich (TUM) is establishing the TUM Data Innovation Hub (TUM-DI-HUB) as a platform to connect research and teaching in data science to practice and cooperation with partners from industry. The TUM-DI-HUB will bundle, coordinate, and subsequently expand the existing activities of the Department of Mathematics in the field of data science. Its activities will include (a) research conducted in the framework of the newly established Munich Data Science Institute), (b) teaching in the Master of Mathematics in Data Science program, (c) the TUM Data Innovation Lab?s (TUM-DI-LAB) student research experiences, and (d) the department?s consulting services.

In the context of the TUM-DI-HUB, we are announcing the opening of a position for a

Doctoral or PostDoctoral Researcher

to provide the expertise required for the planned expansion of the consulting services and assist with coordination of the TUM-DI-HUB. The position is to be started no later than April 1, 2020, and will be co-supervised by Professors Mathias Drton (Mathematical Statistics) and Massimo Fornasier (Applied Analysis and Numerics).

Ideal candidates have the following profile:

- Doctoral/PostDoc candidate, trained in mathematics, mathematical statistics or computer science,
- Consolidated and certifiable knowledge of deep learning and its practice (included related programming languages such as, for example, Tensorflow, Keras, Theano, PyTorch and related visualization software),
- Strong interest in industrial cooperation.

We offer an interesting, varied, and challenging position, which combines development of know-how with industrial research and cooperation within an experienced international team. The position is paid according to the Civil Service rates of the German States "TV-L", E13 100% (if suitably qualified). The contract is initially limited to a two-year period, with a possible extension provided the availability of funding. For further information, please contact Mathias Drton (mathias.drton@tum.de) or Massimo Fornasier (massimo.fornasier@ma.tum.de).

As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women as well as from all others who would bring additional diversity dimensions to the university's research and teaching strategies. Preference will be given to disabled candidates with essentially the same qualifications.

Applications should include:

- a complete Curriculum Vitae,
- copies of degrees / university transcripts,
- a motivational statement (at most one page) explaining the applicant's interest in the position and relevant skills and experience,
- name and email address of at least one Professor who may provide a letter of recommendation directly to the hiring committee.

Applications should be sent as a single PDF file to: grant@ma.tum.de. Please indicate "TUM-DI-HUB Researcher" in the subject line.

The review of applications will begin on February 1, 2020 and continue until this position is filled.
Enlaces


Ph.D. Students / Postdocs in Algorithms at Hasso Plattner Institute Potsdam, GErmany

Fecha 31 Jan, 2020
Información Von: Tobias Friedrich
---

The Algorithm Engineering group at the Hasso Plattner Institute (HPI) currently hosts twenty researchers and invites applications for three new

Ph.D. Students and/or Postdoctoral Researchers in Algorithms.

The research group uses methods from mathematics and computer science to approach a range of algorithmic areas including artificial intelligence, network theory and random structures. As part of the privately funded School of Digital Engineering of the University of Potsdam, we engage both in teaching of outstanding and highly selected students as well as in internationally renowned research. The group and the institute is located at the beautiful Campus Griebnitzsee, at the border to Berlin, offering a vibrant scientific environment.

What we offer:
* Inspiring research environment
* Close collaboration with other scientists
* Generous travel allowance and latest computing facilities
* Modern work space in Potsdam-Babelsberg
* Integration into an international group of researchers

What we expect:
* An excellent master's degree in Computer Science, Mathematics or a related discipline
* Enthusiasm for mathematical problems and scientific work
* Enjoying teamwork and collaboration
* PhD student applicants should have a desire to obtain a PhD within 3-4 years
* Postdoctoral researchers should have developed their own research profile

Application process:
* Postdoctoral researchers from other fields of theoretical computer science and discrete mathematics may apply as well, but should provide a one-page motivation letter detailing how they fit in the research profile of the group.
* All applications should include a detailed CV, a copy of the (Master or PhD) thesis and a list of courses and grades.
* Please also mention names and contact details of one or two references -- preferably one from your thesis adviser.
* The starting date and particular research topic is flexible.
* Interested candidates should direct their questions to Tobias Friedrich .
* Applications must be sent via email, preferably as a single PDF, to jobs-friedrich@hpi.de by January 31, 2020
Enlaces


PhD studentship in stochastics at U Twente, the Netherlands

Fecha 31 Jan, 2020
Información Von: Marie-Colette van Lieshout
-----

Job Offer - fully funded PhD studentship at the University of Twente

The Faculty of Electrical Engineering, Mathematics and Computer Science
at the University of Twente, The Netherlands, invites applications for a

PhD studentship

in the project `Data driven risk management for fire services' funded
by the Dutch Research Council.

This project aims to develop a flexible hierarchical statistical
framework for the analysis and prediction of various types of fires
and will be carried out in close cooperation with the Twente Fire Brigade.

Candidates are required to have a Master?s degree in mathematics or a
related discipline and a solid background in probability and statistics.
They should have excellent grades, research talent (as proven by their
Master?s thesis), an excellent command of English and good academic
writing and presentation skills.

The terms of employment and salary are in accordance with the Dutch
Collective Labour Agreement for universities.

To apply, please send a letter of motivation, a list of your BSc and
MSc courses with grades and either a copy of your Master's thesis if
available or a copy of your Bachelor's thesis accompanied by an outline
of your Master's thesis to

Prof.dr M.N.M. van Lieshout
Email: m.n.m.vanlieshout@utwente.nl
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Open position as Postdoctoral Researcher in Bayesian statistical learning at HU Berlin, Germany

Fecha 31 Jan, 2020
Información Von: nadja.klein@hu-berlin.de
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*! Extended application deadline!*

Open position as a postdoctoral research fellow in Statistics at the
Humboldt University of Berlin

The group of Statistics at Humboldt University of Berlin invites
applications for:

1 Postdoctoral research fellow (full-time employment, 3 years with extension
possible)

to contribute to the research on mathematical and statistical aspects of
Bayesian statistical learning
approaches and novel methods towards high-dimensional distributional models.

The research position is associated with the Emmy Noether group Regression
Models beyond the Mean ?
A Bayesian Approach to Machine Learning and working group of Applied
Statistics at the
School of Business and Economics at Humboldt-Universität Berlin.
Opportunities for own scientific qualification (PhD)/career development are
provided, see
https://www.wiwi.hu-berlin.de/en/academic-career/academic-career?set_languag
e=en
for an overview and further links. The positions are to be filled at
the earliest possible date and funded by the German Research Foundation
(DFG) within the Emmy Noether programme.

*Requirements:
- an outstanding PhD in Statistics, Mathematics, or related field with
specialisation in Statistics, Data Science or Mathematics;
- a strong background in at least one of the following fields: computational
methods,
Bayesian statistics, variational inference, statistical learning,
high-dimensional regression modelling, mathematical statistics;
- a thorough mathematical understanding.
- substantial experience in scientific programming with Matlab, Python,
C/C++, R or similar;
- strong interest in developing novel statistical methodology and its
applications in various fields such as economics or natural and life
sciences;
- a very good communication skills and team experience, proficiency of the
written and spoken English language (German is not obligatory).

*Opportunities:
We offer the unique environment of young researchers and leading
international experts in the fields. The vibrant international network
includes established collaborations in Singapore and Australia. The
positions offer potential to closely work with several applied sciences.
Information about the research profile of the research group and further
contact details can be found through the following link:
https://hu.berlin/ENG-StatML. The positions are paid according to the Civil
Service rates of the German States ?TV-L?, E13 (if suitably qualified).

*Applications should include:
- a CV with list of publications
- a motivational statement (at most one page) explaining the applicant's
interest in the announced position as well as their relevant skills and
experience
- copies of degrees/university transcripts
- names and email addresses of at least two professors that may provide
letters of recommendation directly to the hiring committee Applications
should be sent as a single PDF file to: Prof. Dr. Nadja Klein
(nadja.klein[at]hu-berlin.de), whom you may also contact for questions
concerning this job post. Please indicate ?Research Position Emmy Noether?.

*Application deadline: 31st of January 2020

HU is seeking to increase the proportion of women in research and teaching,
and specifically encourages qualified female scholars to apply. Severely
disabled applicants with equivalent qualifications will be given
preferential consideration. People with an immigration background are
specifically encouraged to apply. Since we will not return your documents,
please submit copies in the application only
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PhD position LMU Munich, Germany

Fecha 31 Jan, 2020
Información Von: Thilo Meyer-Brandis
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The Department of Mathematics of the Ludwig-Maximilian-University Munich (LMU) invites applications for a


PhD position (TV-L E13, 50%, 2,5 hours teaching)

in Stochastics with applications in Financial and Insurance Mathematics. A research background in related fields is desirable but not necessary and candidates from all areas of probability/stochastics with interest in financial mathematics are encouraged to apply.

Earliest starting date for the position is 1st of April 2020 for a term of 1 year with possible extension upon successful completion of the first year.

Your application should include a letter of motivation, curriculum vitae, and documentation of academic degrees and certificates. Letters of recommendation are also welcome.

Any inquiries and your application should be sent electronically in pdf format at your earliest convenience to

Prof. Thilo Meyer-Brandis
meyer-brandis@math.lmu.de
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