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(PhD Candidate ‘Parameterized complexity of approximate Bayesian inferences’ (1.0 FTE

1395/10/21
Radboud University
 

دانشگاه رادبود (Radboud University) یک دانشگاه تحقیقاتی عمومی است که در نیجمگن در هلند واقع شده و تمرکز قوی بر روی تحقیقات دارد. این دانشگاه در سال 1923 تاسیس شده و در قدیمی ترین شهر هلند واقع می باشد. دانشگاه رادبود، در رده بندی “QS World University Ranking” ، رتبه 138 را در میان دانشگاه های برتر جهان بدست آورد.
بخش پزشکی دانشگاه به مرکز پزشکی دانشگاه رادبود، یک بیمارستان آموزشی بزرگ که همراه با ساختمان های دیگر دانشگاه در پردیس Heyendaal واقع شده، مرتبط است. پروژه های ساختمانی اخیر سالن¬های اقامتی جدید در پردیس، یک مرکز ورزشی و چندین ساختمان علمی را شامل می شوند. پردیس دانشگاه در کنار ایستگاه قطار Heyendaal قرار گرفته است. اتوبوس های متعدد، دانشگاه را به ایستگاه مرکزی نیمگن و مرکز شهر مرتبط می سازد. دانشگاه رادبود بخاطر پردیس سبزش مورد توجه بوده و اغلب در شمار جذاب ترین دانشگاه های هلند می باشد.
دانشگاه رادبود هفت دانشکده دارد و بیش 19130 دانشجو در 107 رشته درسی (40 رشته کارشناسی و 67 رشته کارشناسی ارشد) در آن ثبت نام کرده اند. این دانشگاه 28 رشته کارشناسی ارشد بین المللی را به زبان انگلیسی در پنج زمینه مختلف ارائه می کند: انسان و جامعه، انسان و بهداشت، انسان و فرهنگ، سیاست و سازمان، طبیعت و علم. همه رشته های کارشناسی به زبان هلندی هستند. همه رشته های کارشناسی ارشد توسط سازمان اعتبار بخشی هلند و فلاندرز (NVAO)، به رسمیت شناخته شده اند.

 

جهت دریافت اطلاعات بیشتر در رابطه با این بورسیه دکتری ارائه شده و نیز نحوه اپلای بر روی تب توضیحات کامل در بالا کلیک نمائید.

 
 رشته تحصیلی: کامپیوتر/فناوری اطلاعات|علوم اعصاب|ریاضی/آمار    |     موقعیت: هلند     |     تاریخ انقضا: 13 بهمن 1395


Faculty of Social Sciences 
Vacancy number: 24.49.16 
Application deadline: 1 February 2017



Responsibilities

The recent Predictive Processing account in neuroscience postulates that the brain continuously predicts its future inputs, using generative models relating hypothesized causes to perceived effects. It entails that the brain actually implements some form of approximate Bayesian inference, combining prior expectations with newly arriving information to make sense of its inputs. Bayesian computations, however, are computationally intractable for situations of real-world complexity, even when approximated. This is in marked contrast to the efficiency of inference and learning as done by the brain in practice. The objective of this project is to resolve this paradox by studying the fundamental properties of approximate Bayesian inferences. The vital question we seek to answer is ‘under what biologically plausible situational constraints can approximate Bayesian inference be rendered tractable?’ The approach we use to address this question is the mathematical theory of parameterized complexity analysis, algorithm design, and computer simulation. 
  
You will explore the boundaries between tractable and intractable (parameterized) sampling algorithms, contribute to the mathematical tools to assess such algorithms, and analyse the computations postulated in the Predictive Processing account. You will also contribute to our Artificial Intelligence educational programme, in particular by supervision of student projects and assistance in lab courses. In addition, you will be eligible to follow courses at the IPA and SIKS research schools.

You will be part of the Donders Graduate School for Cognitive Neuroscience.

Work environment

The Donders Institute for Brain, Cognition and Behaviour focuses on state-of-the-art cognitive neuroscience, using a multidisciplinary approach, and offers excellent lab and neuroimaging facilities, PhD supervision and courses, and technical support. 
  
The project is embedded in the Donders research theme “Perception, Action and Control’ and will be supervised by Dr Johan Kwisthout. You will join the Computational Cognitive Science research group, headed by Dr Iris van Rooij, at the Donders Centre for Cognition (DCC). The DCC is part of the Faculty of Social Sciences, one of the largest faculties at Radboud University in Nijmegen. The institute offers excellent research facilities and study programmes that rank among the best in the Netherlands. The candidate will also maintain regular research contacts with the Algorithms and Complexity group, headed by Prof. Hans Bodlaender, at the Department of Information and Computing Sciences at Utrecht University. 
  
The Donders Institute is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. The Radboud University offers a parental leave scheme and day care on campus.

What we expect from you

  • an MSc degree in computer science, mathematics, artificial intelligence, cognitive science, cognitive neuroscience, or a related field;
  • strong motivation to conduct a conceptually challenging theoretical research project in a highly interdisciplinary context;
  • you have strong formal and analytical skills and are fascinated by the foundations of computation as well as how the brain actually realizes computations;
  • knowledge of parameterized complexity theory and/or Bayesian networks would be a strong bonus.

What we have to offer

  • employment: 1.0 FTE;
  • in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus;
  • the gross starting salary amounts to €2,191 per month, and will increase to €2,801 in the fourth year;
  • you will be appointed for an initial period of 18 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 2.5 years;
  • this PhD position at the Donders Centre for Cognition is a 0.9 FTE research and 0.1 FTE teaching appointment;
  • you will be classified as a PhD Candidate (promovendus) in the Dutch university job-ranking system (UFO).

Are you interested in our excellent employment conditions?

Other Information

The intended start date of the project is April 2017.

Would you like to know more?

Further information on: Theme 2: Perception, Action and Control 
Further information on: Computational Cognitive Science

For more information about this vacancy, please contact: 
Dr. Johan Kwisthout, project leader
Telephone: +31 24 3655977
E-mail: j.kwisthout@donders.ru.nl

Are you interested?

You should upload your application (attn. of Dr. Johan Kwisthout) exclusively using the button 'Apply' below. Your application should include (and be limited to) the following attachment(s):

  • Cover letter
  • CV, including two references
  • list of grades

Please make sure that all documents are in English.


 

 


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