Showing posts with label PhD Scholarships. Show all posts
Showing posts with label PhD Scholarships. Show all posts

Thursday, July 28, 2016

PhD Scholarships in Datamining, Optimisation, Artificial Intelligence, University of Nottingham Ningbo, China

Introduction
The University of Nottingham Ningbo has PhD scholarships for suitable candidates who are interested in Datamining, Optimisation, Artificial Intelligence and related subjects such as:

Subject Areas

          Data mining/machine learning challenges: large data sets, mixture of data types (including images), data quality and security issues.
          Optimisation challenges: dealing with uncertainty, dynamic problems, large scale optimization problem, new optimization and data mining combinations such as simulation and machine learning.
          Social challenges – users need to understand and trust the solution methods or they will not use them optimally. What technical implications does this have in application areas such as medical data, logistic problems and other areas of the digital economy.

The research projects are multidisciplinary in nature and will involve solving business problems related to designing, planning, controlling and improving of operations and management processes. The scholarships will be attractive to researchers from a range of industrial, engineering, computer science or management backgrounds.

PhD Scholarship package:

The scholarships are based at The University of Nottingham’s campus in Ningbo, China. They are available from September 2016 for a period of three years, with a stipend of up RMB 3,000 per month and an accommodation allowance of RMB 4,800 per year for local students and RMB 12,000 per year for international students. Tuition fees are fully funded and medical insurance is provided. Teaching assistantships with extra payment may be available for talented PhD students.

How to Apply:

The application deadline is 15 August 2016. To apply please send an email with the subject IAMET scholarships and the following attachments toPHDAdmissions@nottingham.edu.cn :
·       Application Form (please download here:http://www.nottingham.edu.cn/en/admissions/domestic-students/phdprogramme/how-to-apply/application--assessment-procedure.aspx
·       A brief research proposal (1-2 pages)
·       Copies of degree certificate for both undergraduate and postgraduate study (Xueli certificates required for applicants from Chinese universities)
·       Official transcripts showing marks for both undergraduate and postgraduate study (in English only, with university’s official stamp on)
·       Two references which can be emailed by the referees directly toPHDAdmissions@nottingham.edu.cn
·       English proficiency test report (not required for native English speakers or those with degrees from English speaking countries))
·       A copy of passport-sized colour photograph
·       A copy of your passport. For Chinese applicants a copy of ID card is accepted

Informal inquiries may be addressed to Professor Uwe Aickelin uwe.aickelin@nottingham.edu.cn

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Friday, May 13, 2016

PhD Scholarships in Statistical Machine Learning, Uppsala University, Sweden


  • Uppsala University is an international research university focused on the development of science and education. Our most important assets are all the individuals who with their curiosity and their dedication make Uppsala University one of Sweden’s most exciting work places. Uppsala University has 40,000 students, 7,000 employees and a turnover of SEK 6,5 billion. The Department of Information Technology has a leading position in research and education. The Department currently has about 280 employees, including 120 teachers and 110 PhD students. More than 4000 students study one or more courses at the department each year. More info: http://www.it.uu.se/?lang=en
    The Division of Systems and Control is active in machine learning, automatic control, signal processing, and system identification. The research topics of the PhD student positions will be centered around probabilistic modelling of dynamical systems, including the development and analysis of Bayesian dynamical models and/or computational learning methods (e.g. sequential Monte Carlo, Markov chain Monte Carlo, optimization and variational methods). A few examples of concrete research problems that may define the PhD projects are available here:
    http://user.it.uu.se/~thosc112/PhDpositionJune2016.pdf
    These are suggestions and the exact research topic will be determined in a dialogue between the PhD students and the supervisors. Information about our ongoing research is available from our personal web sites (http://user.it.uu.se/~thosc112/ and http://www.it.uu.se/katalog/freli660) and at the group website: http://www.it.uu.se/research/systems_and_control
    The position is for a maximum of five years and includes departmental duties at a level of at most 20% (typically teaching).

    Qualifications: A PhD position at the Division requires a Master of Science or equivalent in a field that is relevant to the topic of the PhD thesis, good communication skills and excellent study results, as well as sufficient proficiency in oral and written English. Experience in machine learning for mathematical modelling of nonlinear systems is valued.

    How to apply: Applications should include a presentation of the applicant and an explanation of the reasons why this position is applied for, his/her research interests and past experience, a CV, copies of exams, degrees and grades, a copy of the Master’s thesis (or a draft thereof), publications, and other relevant documents. Candidates are encouraged to provide contact information to reference persons. Applications may be submitted by candidates that have not fully completed the Master of Science degree (or equivalent), however all applicants should state the earliest feasible starting date of employment.
    Uppsala University aims for gender balance and diversity in all activities in order to achieve a higher quality at all levels of the organization. We therefore welcome applicants of any gender and with different birth background, functionality and life experience.

    For more information, see http://www.it.uu.se/first?lang=en (the department web page) or contact: Prof. Thomas Schön  (thomas.schon@it.uu.se) and Dr Fredrik Lindsten (fredrik.lindsten@it.uu.se).

    Deadline

    You are welcome to submit your application, no later than June 19, 2016.
    UFV-PA 2016/1342.
    We decline offers of recruitment and advertising help. We only accept the application the way described in the advertisement.

    Potential Research Topics

    • Black-box inference
    • Modelling and inference using recurrent neural networks
    • Modeling and prediction of spatio-temporal processes


    Placement: Department of Information Technology

    Type of employment: Full time , Temporary position longer than 6 months

    Pay: Fixed pay

    Number of positions: 2

    Working hours: 100%

    Town: Uppsala

    County: Uppsala län

    Country: Sweden
    Union representative: Marie Ols, TCO/ST 018-471 2459
    Per Sundman, Saco-rådet 018-471 1485
    Stefan Djurström, Seko 018-471 3315

    Number of reference: UFV-PA 2016/1342
    Last application date: 2016-06-19
    Login and apply
For more scholarships information, join https://www.facebook.com/groups/1685338968416560/

For original source of information, visit 
http://www.uu.se/en/about-uu/join-us/details/?positionId=101559