PhD Studentship in Multiscale Modelling of Interacting Particle Systems (Fixed Term)

Applications are invited for a three-year PhD student position in Applied Mathematics to work with Dr Maria Bruna at the Department of Applied Mathematics and Theoretical Physics (DAMTP). The studentship is funded by Dr Bruna's Royal Society Research Fellow Enhancement Award. The project involves the derivation of kinetic models of stochastic systems of interacting particles, with specific focus on accounting for excluded-volume interactions between particles.

The post is available from October 2019 and is open to EU and UK nationals. The PhD Studentship offered is fully funded for three years (to include University Composition Fees and maintenance for the duration of your course to RCUK minimum level).

Applicants should hold or be about to achieve a First or Upper-Second (2.i) class degree in mathematics or related field. The candidate must be capable of performing independent research and have good communication skills.

This project will involve stochastic modelling of particle-based models, asymptotic methods and numerical solution of partial differential equations (PDEs). Knowledge of probability theory, PDEs, and C++ and Python programming is desired.

Scientific enquiries apart from the formal application should be directed to Dr Maria Bruna at LE17628@maths.cam.ac.uk.

To apply please submit:

(i) a formal PhD application to DAMTP via the Cambridge Graduate Admissions Office, with Dr Bruna identified as the prospective supervisor. Further details on how to apply are available online: http://www.graduate.study.cam.ac.uk/how-do-i-apply.

(ii) a supporting statement explaining why you are interested in this studentship to be sent to LE17628@maths.cam.ac.uk.

Deadline: The deadline for submission for both the formal application and expression of interest is 31 January 2019.

Please quote reference LE17628 on your application and in any correspondence about this vacancy.

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

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PhD Scholarship on Data-driven E-commerce Order Fulfillment, Eindhoven University of Technology

The School of Industrial Engineering is one of the longest-established IE Schools in Europe, with a strong presence in the international research and education community, especially in the field of Operations Management and Operations Research. OM and OR are part of the core of the undergraduate IE program. The graduate programs (MSc and PhD) in Operations Management & Logistics attract top-level students from all over the world. Researchers in the school are member of the Beta research school and participate in industrial activities with members of the European Supply Chain Forum and consortia of research projects.

The group Operations, Planning, Accounting and Control (OPAC) conducts research in the area of Operations Management, with specific emphasis on

Inventory control/Supply chain management
Design and control of manufacturing networks
Transportation management
Maintenance optimization and reliability engineering
Sustainable operations management

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5 Doctoral Researcher Positions - DYNAMICS

The Research Training Group 2458 "The Dynamics of Demography, Democratic Processes and Public Policy" (DYNAMICS) invites applications for 5 Doctoral Researcher Positions. DYNAMICS provides doctoral researchers with a unique and internationally competitive three-year PhD programme in cutting-edge quantitative methods and advanced theories of demography, democracy and public policy. It is a joint endeavour of the Department of Social Sciences at Humboldt-Universität zu Berlin and the Hertie School of Governance and funded by the German Research Foundation. Doctoral positions will start in September 2019 and remuneration is based on Grade E13 TVL (65%) of the German Public Salary Scale.



DYNAMICS studies how demographic changes transform democratic processes, how policy decisions are made to address demographic challenges and how public policies influence demographic developments. Dissertation projects should fall into at least one of the three Research Pillars of the Research Training Group:



1. Demography and democratic processes

2. Demography and public policy

3. Public policy and its effect on demographic behaviour



Qualification and requirements

Applications by highly qualified graduates from the fields of Political Science, Sociology, Demography, Public Policy or other related Social Sciences who already have a high level of quantitative methods training, are welcome. Candidates must hold a Master’s degree (or equivalent) in one of the aforementioned subjects or be very close to completion.



Application

Please submit your application including the following materials until 7 January 2019 in one PDF file to this Email in the following order:

Application materials

Letter of motivation (maximum 1 page)
10-page dissertation proposal
Certificates and transcripts of grades from each academic programme attended so far. MA degree (or equivalent) has to be completed before 31 August.
Statement of methods skills (maximum 1 page)
CV
TOEFL Test with score of at least 250 (computer-based) or 600 (paper-based) or 100 (internet-based)
Two letters of recommendation (must be sent separately as PDF files to this Email by the referees)
Two writing samples
The name(s) of two potential dissertation advisors
All files must be merged into one single PDF file. The maximum file size is 6 MB.

The Call for Applications can be downloaded here.

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The Swedish Institute Scholarships for Global Professionals (SISGP) programme provides a number of full scholarships for master’s programmes in Sweden. The programme is open to applicants from selected countries on the OECD/DAC list who have work and leadership experience. The programme offers a unique opportunity for global leaders to develop professionally and academically, to experience Swedish society and culture and to build a long-lasting relationship with Sweden and each other.

Read more about the scholarship, eligibility and how to apply at the Swedish Institute’s website.

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Marie Curie PhD on Mathematics for Big Data

OPEN POSITIONS for two early-career creative mathematicians, who should have strong theoretical and practical skills, to carry out research with ISR (http://welcome.isr.tecnico.ulisboa.pt/), IST's Mathematics Department (https://math.tecnico.ulisboa.pt), and industrial partners.

The candidates will be enrolled in the Doctoral Programme in Statistics and Stochastic Processes and will study and develop advanced algorithms for bigdata processing, in the frame of the BIGMATH project (Marie Curie ITN H2020, http://itn-bigmath.unimi.it/), with emphasis on the following topics:

Distributed optimization of biokinetic models based on large 4D sequences with 3Lateral Studio which produces biokinetic models of the human form in computer graphics. 3Lateral is also building a database of such models through 3D and 4D scanning for statistical modelling and machine learning.

Credit scoring and statistical prediction of credit default with SDG Group a global consulting firm with a broad focus on data analytics, and Center for Investments and Finance a leading developer of risk management and compliance solutions for commercial and governmental solutions.

Read more about the conditions and required qualifications to apply, until December 31st, here: https://bit.ly/2DMa2jQ

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⚠️ همان‌طوری که قبلا هم تاکید شد، پیشنهاد می‌کنیم برای بالابردن امنیت گوشی خود از نسخه‌های رسمی تگلرام که در لینک زیر معرفی شدند استفاده کنید.

⚠️⚠️ کاربرانی تصویر زیر رو برای ما فرستادن که گویی خود تلگرام به کاربرانی که از نسخه‌های غیر رسمی استفاده می‌کنند امروز هشدار امنیتی داده است!

🔗 لینک تصویر:

https://xn--r1a.website/ApplyTime/4427

🔗 لینک دانلود نسخه‌های رسمی تلگرام:

https://xn--r1a.website/ApplyTime/4418

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PhD, Machine Learning based Ligand Binding Predictor

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The Digital Life Initiative (DLI) is accepting applications for postdoctoral fellows whose work aligns with DLI’s focus on societal perspectives on digital technologies, focusing on key ethical and political issues, such as privacy, accountability, access, security, and fairness

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My university is hiring in AI & ML this year. Please apply! The link and ad are below.

The School of Computer Science in the Gallogly College of Engineering at the University of Oklahoma is entering an exciting period of growth opportunities in various research areas combined with its large undergraduate and graduate programs. We invite applications for two tenure-track faculty positions at the rank of assistant professor in the areas of artificial intelligence, machine learning, high-performance computing, and/or network science. Candidates must hold a Ph.D. degree in computer science or related fields and have the ability to teach courses at all levels, including advising M.S. and Ph.D. students. Our school offers B.S., M.S., and Ph.D. degrees in computer science, and M.S. degrees in data science and analytics in conjunction with the School of Industrial & Systems Engineering.

Qualifications
• A doctoral degree in computer science or any related discipline.
• Proven research record and potential to attract funding in areas of AI/ML, High-Performance Computing, and/or Network Science
• Candidates should also have the ability to teach courses at all levels and advice M.S. and Ph.D. students.

Application Instructions
Apply at: http://apply.interfolio.com/58861

The application package should include 1) a single-page cover letter explaining your interest in this program, 2) a curriculum vitae, 3) teaching and research statements, 4) 1-2 papers that best represent research contributions and scholarship, and 5) a list of at least three references.

Review of applications will begin January 30, 2019, and continue until the position is filled.

Equal Employment Opportunity Statement
The University of Oklahoma, in compliance with all applicable federal and state laws and regulations does not discriminate on the basis of race, color, national origin, sex, sexual orientation, genetic information, gender identity, gender expression, age, religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes, but is not limited to: admissions, employment, financial aid, housing, services in educational programs or activities, or health care services that the University operates or provides.

--------------------------------------------------------
Dr. Amy McGovern
Professor, School of Computer Science
Adjunct Professor, School of Meteorology
University of Oklahoma

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University Health Network, Canada is looking for an experienced Postdoctoral Fellow in Biomedical Engineering at Toronto Rehabilitation Research Institute. Machine learning expertise is preferred for this position.

Please refer to the following job advertisement for more details: https://www.recruitingsite.com/csbsites/uhncareers/JobDescription.asp?SiteID=10031&JobNumber=835089

Apply directly to Dr. Andrea Iaboni (andrea.iaboni@uhn.ca) or from the above website.

regards
Shehroz Khan
Scientist,
Toronto Rehabilitation Institute,
University Health Network,
Canada

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Applications are invited for a three-year postdoctoral fellowship at Leiden University (the Netherlands) under the mentorship of Dr Lotte van Dillen and Dr Henk van Steenbergen as part of a larger collaboration with Prof. Wilhelm Hofmann (University of Bochum). The project “Work hard, play hard. Neuropsychological correlates and behavioral implications of hedonic compensation” is funded under the Open Research Area scheme and aims to advance a new framework to understand the phenomenon of hedonic compensation. We are looking for an enthusiastic researcher who would like to build her/his career in the field of experimental psychology and affective neuroscience. Please consult the following link for further infomation: https://www.universiteitleidennl/vacatures/2018/wk41-52/8-530-5990-postdoc-on-the-neural-mechanisms-of-hedonic-compensation-1

Dr. Henk van Steenbergen
Assistant Professor
Institute of Psychology - Leiden University

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Postdoc Position in Artificial Intelligence/machine Learning for Medical Imaging

We are seeking to appoint a Research Associate to develop scalable and robust artificial intelligence and machine learning techniques for the analysis and interpretation of medical images and related clinical data. The development of the artificial intelligence (AI) and machine learning (ML) will enable faster and early diagnosis, automation of expensive and time-consuming manual reporting, enhanced patient screening and stratification for optimal treatment. Ultimately, this will support a major redesign of clinical pathways to improve outcomes and efficiency.

The successful candidate will work as part of the newly-established London Medical Imaging & Artificial Intelligence Centre, a new network funded by Innovate UK and the EPSRC. The London Medical Imaging & Artificial Intelligence Centre has been established to improve NHS patient care and health outcomes, reduce healthcare costs and support the growth of companies, supporting the economy. Its aim is to apply artificial intelligence technologies to medical imaging (for example, MRI scans, CT scans, PET scans and ultrasound). The Centre is a collaboration between three excellent universities (King's, Imperial and QMUL), four leading NHS trusts as well as companies (Siemens, NVIDIA, IBM, GSK) as well as a number of UK-based SMEs in the area healthcare-based AI.

You will be part of the Biomedical Image Analysis Group based at the South Kensington campus. The mission of the group is to develop novel, computational techniques for the analysis of biomedical images. For further information on the group see: http://biomedic.doc.ic.ac.uk/. The Group is part of the Department of Computing at Imperial College London which is a leading department of Computer Science in the UK.

More Info

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Dear all,

We are looking for 2 researchers to join the Music and Audio Research Laboratory (MARL) at New York University:

1 postdoctoral research associate to work on machine listening for urban sound analysis as part of the Sounds of New York City (SONYC) project, a large NSF-funded project that aims to monitor, analyze, and mitigate urban noise pollution. For details and applications instructions, visit https://apply.interfolio.com/58662
1 postdoctoral associate / research engineer to work on two new urban sensing platforms (acoustic and multi-modal) in New York City as part of both the Sounds of New York City (SONYC) and the Reconfigurable Environmental Intelligence Platform (REIP) projects. Both MS and PhD are encouraged to apply. For details and application instructions, visit https://apply.interfolio.com/58665

Both positions are for 2 years with $70K starting salaries plus benefits. The successful candidates for both positions will join the Music and Audio Research Laboratory (MARL) and the Center for Urban Science and Progress (CUSP) at New York University, working as part of a team led by Juan Pablo Bello.

MARL is concerned by the lack of diversity in our field, and would like to strongly encourage applications from women and others from communities traditionally underrepresented in computer science and engineering research.

The deadline for applications is January 31, 2019, but we will continue to accept applications until the position is filled.

Questions should be directed to:
Mark Cartwright (mark.cartwright@nyu.edu) for the machine listening position
Charlie Mydlarz (cmydlarz@nyu.edu) for the sensing position

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Post-doc position in Causal Inference for Geosciences

We are looking for outstanding postdoc candidates with a strong interest in machine learning and geosciences to cover a post-doc position in the Image and Signal Processing (ISP) group in the Universitat de Valencia, Spain, http://isp.uv.es. The position is fully funded by an ERC Consolidator Grant 2015-2020 entitled "Statistical Learning for Earth Observation Data Analysis" (SEDAL), http://isp.uv.es/sedal.html, under the direction of Prof. Gustau Camps-Valls.

*** The project and job description

This particular position is focused on learning causal models to explain complex interactions in essential climate variables and remote sensing observations, and discover hidden essential drivers and confounding factors in Climate/Geo Sciences applications.

*** Who

Highly motivated researchers with a PhD degree in computer science, statistics, machine learning, electrical engineering, physics, or mathematics are encouraged to apply. All candidates should have a solid understanding and knowledge of machine learning and statistics, and being particularly interested in remote sensing and/or geoscience problems. Good programming skills (Matlab/Python/R/C++), a critical and organized sense for data analysis, as well as commitment, strong communication, presentation and writing skills are a big plus.

*** Application details

- Deadline: Send your application as soon as possible. Positions will be filled as soon as we have the right candidate!
- How? Send me: 2-pages CV, and a list of your 3 most representative papers
- Who: PhD in maths, physics, machine learning, or related disciplines. Also, we care about the gender issue!
- How long? 1+1 years contract
- How much? Salary according to UV scales including social security, health insurance benefits, and travel money
- Where? Valencia, Spain, Mediterranean city, nice weather, hike and beach. Excellent cost-of-living index = 55

-------------------------------------------
Prof. Gustau Camps-Valls
Image Processing Laboratory (IPL)
Universitat de València
Tlf: +34 963 544 064
http://isp.uv.es

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Multiple scientist and engineer positions are open for a neuromorphic program (on-going till 2021) in Singapore, at the Institute for Infocomm Research (I2R), A*STAR. The program is a multi-disciplinary effort, that straddles across the hardware (neuromorphic chip with RRAM, on-chip learning), middleware (emulator) and software (learning algorithms), and we aim to develop a demonstrating application system at end of the program. The program hence presents an unique research opportunity for candidates hoping to build a complete neuromorphic learning system. We are now in the second year of the program and have made good progress on all three aspects of the program. We have still a few openings for talented scientists and both software and hardware engineers who would be excited to work on any aspects of the program (hardware, middleware, software and system integration). Multiple top-ranked universities and research institutes in Singapore (NUS, NTU, IME, IHPC, I2R) are collaborating on the program.

The work package I am in-charge of is primarily involved in the design of better algorithms for spiking neural networks. To this end, successful candidates will conduct research in one or more of the following areas:

- Neuronal encoding: how to better encode external stimuli into spike based representations to facilitate decoding with high fidelity and also better learning performance (in terms of accuracy and power efficiency).

- Supervised learning: given that spiking neural networks are asynchronous and sparse in their activities, the design of supervised learning algorithms that can fully capitalize on these properties becomes critical.

- Mapping of state-of-art deep learning networks to spiking networks. Neuromorphic learning algorithms are still solving fairly simple problems compared to deep learning. For this, we would like to systematically borrow from the deep learning community networks and learning algorithms that can quickly boost the capabilities of spiking neural networks.

- Unsupervised learning. STDP is well suited for unsupervised learning in spiking neural networks, and we would like to further advance STDP learning in spiking neural networks (both theory and applications).

Preference will be given to candidates who can document knowledge in deep learning, spiking neural networks or signal processing (with interest in spiking neural networks).

Candidates must have a PhD (for scientists) or MS/BS (for engineers) in computer science, computational neuroscience or related fields. Strong programming and quantitative skills are highly desired. Candidates should be proficient in spoken and written English.

The appointment will be for 3 years, and extended for another 1 year, after review. Salaries are commensurate with internationally-competitive salaries and benefits. The start date is flexible and applications will be considered on a rolling basis until the positions are filled.

Other benefits include:
- Funding for international conferences and training courses
- Collaboration opportunities with an excellent network of international scientists

Candidates please send your curriculum vitae, a statement of research interests and three references to Dr. Yansong Chua (chuays@i2r.a-star.edu.sg).

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PhD Position in Computational Social Choice at University of Amsterdam

Project description
This position is part of the Collective Information Project, which will eventually employ a total of five junior researchers. It is funded by the Netherlands Organisation for Scientific Research (NWO) under the VICI scheme.

The aim of the Collective Information Project is to improve our understanding of how best to aggregate information supplied by several independent agents and how the structural properties of the kind of information we wish to aggregate influences the performance of different aggregation mechanisms. Potential applications range from political elections and recommender systems (aggregation of preferences), to crowdsourcing campaigns (aggregation of expert judgments), to knowledge engineering (aggregation of ontologies).

More Info

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Postdoctoral position at the Indian Institute of Science on Event stream analysis

The Department of Computer Science and Automation(CSA) at Indian Institute of Science (IISc) is seeking an exceptional post-doctoral research associate to work with the group of Prof. Chiranjib Bhattacharyya. The candidate will conduct fundamental research on exploring Multi-dimensional point process for the Analysis of Temporal Event streams.



The candidate should ideally have a Ph.D. degree, preferably in the last couple of years, in Computer Science, Mathematics or related disciplines with expertise in Point processes developed in

Machine learning community.





The ideal candidate should

---have proven track record of publication in top-tier conferences in Machine Learning.

---be able to work independently

----have Prototyping skills in C++, Python, Java, or Matlab.

----Experience with machine learning frameworks such as SciKit-Learn, PyTorch or Tensorflow.



This position is for one year, and is made possible by a generous support from HP Labs. On completion of the fellowship the candidate may be considered on merit/performance for a full-time research scientist position with the machine learning group at HP India R&D center, Bangalore.



Interested candidates are requested to

1. mail a copy of their latest CV along with one of the significant paper authored by the candidate to postdociischpcolab@gmail.com

2. Arrange for a letter of reference which can comment on the research strengths of the candidate to the above mentioned address



The start date is as soon as possible. We will continue to accept applications till an ideal candidate is identified.

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Postdoc on resting state neuroimaging analysis in Glasgow

A 2-year postdoc position is available working with Dr. Robin Ince at the University of Glasgow. The project is funded by the Wellcome Trust and will involve developing and applying multivariate information theoretic methods to resting state fMRI data from the Human Connectome Project. The position will also involve collection of simultaneous EEG-fMRI resting state data in Glasgow. The ideal candidate will have strong expertise with numerical programming (MATLAB or Python) and be familiar with neuroimaging data and analysis.

Glasgow is a friendly, lively and welcoming city with a reasonable cost of living and close proximity to the beautiful Highlands and a wide range of outdoor activities. International applicants should note that Glasgow voted 67% in favour of remaining in the EU and is the second most welcoming city to foreigners in the mainland UK (after London) [1], as well as being one of the safest cities in the UK [2]. The Centre for Cognitive Neuroimaging (CCNi) at the Institute of Neuroscience and Psychology (INP) is a collaborative and stimulating environment with a full suite of world-class facilities, including EEG, MEG, 3T fMRI, 7T fMRI, EEG-fMRI, TMS, and extensive computational resources (~2500 cores, ~15TB RAM).

The position is a Research Assistant on Grade 6 of the University of Glasgow salary scale: £28,660 - £32,236 (plus ~18% employer contributions to USS defined benefit pension).

Apply online at
https://www.gla.ac.uk/it/iframe/jobs/
Search for ref: 023869
Closing date for applications Jan 13th 2019. Flexible start date.

Any questions about the project, position or application process please contact robin.ince@glasgow.ac.uk

Institute of Neuroscience & Psychology
College of Medical Veterinary & Life Sciences
University of Glasgow

[1] Eurostat Urban Europe Report 2016.
[2] Mercer Quality of Living Ranking 2016.

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PhD position in hydrologic machine learning at Penn State University

I am looking for a PhD student to start in Fall 2019 at Civil and Environmental Engineering, Penn State University. The student will work with state-of-the-art machine learning techniques and will apply them to water resources big data problems including flooding (https://nsf.gov/awardsearch/showAward?AWD_ID=1832294&HistoricalAwards=false). This student will work with large datasets, utilize and strengthen data processing pipelines, mine the data for trends, build machine learning models and write up the findings. The student should be very comfortable with programming and mathematics. The ideal candidate should have a strong programming background and strong problem-solving skills. However, quick learners are also encouraged. Interested candidates please contact Dr. Chaopeng Shen (cshen@engr.psu.edu) immediately and should also make sure graduate application files are ready.

http://water.engr.psu.edu/shen/index.html

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