PhDs in Logic. PhD in Mathematical Modeling Program overview Please Note: This program is currently recruiting its first class, which will begin in fall 2017. Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. These models can be linear or nonlinear, discrete or continuous, deterministic or stochastic, and static or dynamic, and they enable investigating, analyzing, and predicting the behavior of systems in a wide variety of fields. Every mathematical modeling enterprise has four aspects: the content of the application field, the mathematical formulation and analysis, the analytical and computational methods (which often involve high-performance computing), and the interpretation and analysis of the results. Through extensive research, graduates of this program will have the expertise not only to use the tools of mathematical modeling in various application settings, but also to contribute in creative and innovative ways to solve complex interdisciplinary problems and to communicate effectively with domain experts in various fields. Plan of study The degree requires at least 60 credit hours of course work and research. The curriculum consists of three required graduate common courses, three required graduate concentration courses, a course in scientific computing and high-performance computing (HPC), elective courses focused on the student’s chosen research concentration, and a doctoral dissertation. At least 30 credit hours of course work, including the common curriculum, is required. In addition, at least 30 credit hours of research, including the Graduate Research Seminar and an interdisciplinary internship outside of RIT, is required. At least three years... [-]

Subject entrance examination The subject entrance examination takes the form of a discussion about the chosen study programme and the intended doctoral thesis topic. The committee judges the applicant's interest in the field, motivation, expertise, and overall readiness for doctoral studies. The level of knowledge expected is that required for passing the state final examination of the corresponding master's study programme and branch at Charles University. The applicant must demonstrate his/her insight into the basic areas of science relevant to the chosen thesis topic. The committee also takes into account documents submitted with the application, namely the statement by the proposed advisor, by the head of the proposed training department, recommendation letters, CV, and the letter of motivation. Language entrance examination The language entrance examination verifies that you have an adequate command of the English language, i.e. at least at level B2 of the Common European Framework of Reference for Languages (CEFR). Conditions for admission Admission for studies You will be admitted for studies if you have completed a Master degree programme, successfully pass (or get a waiver of) the subject and language entrance examination, and if an advisor in the required study programme is available. Information on the exercise of graduates Depending on his specialization, the graduate becomes acquainted with modern methods and results in selected areas of contemporary algebra, logic, number theory, and cryptology. Guided by experts, the graduate is ready for independent research. He may start his career as a researcher or lecturer at a university, or... [-]

PhDs in Logic. The language of instruction is English. Logic is a fee-paying programme; the annual study fee is 70 000 CZK. Description of the entrance examination and evaluation criteria entrance examination: one-round examination, interview discussion on the dissertation proposal (discussion on the dissertation topic and assessment of the applicant’s aptitude): 0–30 points; assessment of the applicant’s previous studies, research and other academic activities: 0–15 points; examination of subject-related literature (based on the applicant’s reading list): 0–15 points. The PhD Programme Board does not offer specific topics for Ph.D. candidates. Candidates can choose their topics freely. However, they should be aware of the primary fields of interests of the members of the Department of Logic, i.e. nonclassical logics, set theory, metamathematics, and interactions between these fields, including the historical aspects. Each PhD student should have a qualified supervisor committed to close cooperation with the student, a member of the PhD Programme Board or a researcher whom the Board finds eligible. Topics outside the fields of interests of the members of the department must first be discussed with the Chair of the Programme Board. Suggested PhD topics must be consulted beforehand with the Chair of the Programme Board. Conditions for admission The applicant is admitted if he/she obtains a minimum of 30 points in the entrance examination and, at the same time, scores enough points to place among the maximum number of students admitted to the respective programme (refer to the Admission Procedure Specifications applicable to the individual degree programmes); admissions... [-]

Ph.D. Program Applied Statistics and Empirical Methods The Centre for Statistics offers an international and interdisciplinary Ph.D. Program in Applied Statistics and Empirical Methods at the Georg-August-Universität Göttingen. The Ph.D. program is especially designed for: Ph.D. students who are interested in a statistical or empirical PhD project Ph.D. students who's supervisor is a member of the Centre for Statistics Admission requirements: sound knowledge of basic statistics and methodology (30 ECTS or equivalent; with 15 ECTS a conditional admission is possible) adequate skills in English language (language requirements) a Master or Diploma (or equivalent) in one of the following fields: agricultural sciences biosciences computer sciences economics forest sciences mathematics/statistics medicine/epidemiology physics psychology social sciences The study programme: In total 27 credit points will be accumulated. These credits will be gained by passing courses in the following areas: at least 12 ECTS on statistical methodology at least 4 ECTS on specialisation courses research seminars (4 ECTS) summer schools and conferences (3 ECTS) key competencies (4 ECTS) Ph.D. students from Georg-August-University Göttingen and other Universities, who need further skills in statistical or empirical methods for their project and are not eligible for the Ph.D. Program can apply for the Certificate Programm in Applied Statistics and Empirical Methods. This also applies for students from research training groups (Graduiertenkollegs) since they are already enroled in a Ph.D. program. Postdocs and non-academic professionals, who want to acquire further skills in statistical or empirical methods can also apply for the Certificate Programm in Applied Statistics and Empirical... [-]