Doctoral Program in Statistics in Europe

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The PhD is a doctoral degree, specifically called a "doctor of philosophy" degree. This is misleading because PhD holders are not necessarily philosophers (unless they earned their degree in philosophy!). That said, PhD recipients are able to engage in thought experiments, reason about problems, and solve problems in sophisticated ways.

With PhD in Statistics, you can understand complex mathematics that are often difficult to understand especially for students pursuing higher education. Through this study, you will have ideas on how to improve this area of study especially on its applicability.

Europe, one of the world's seven continents, is usually known as the westernmost peninsula of Eurasia. Second smallest continent, with 10,180,000 (km2), the area regroups 50 countries.

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PhD in Demography

Charles University Faculty of Science
Campus Full time Part time 4 years October 2017 Czech Republic Prague + 1 more

A Ph.D. graduate in Demography is an expert in many areas of population studies. He/she provides all types of demographic research and analysis in the context of social, economic or health issues. [+]

Doctoral Degrees in Statistics in Europe 2017. A Ph.D. graduate in Demography is an expert in many areas of population studies. He/she provides all types of demographic research and analysis in the context of social, economic or health issues. He/she is skilled in making all types of population forecasts, including estimates for future infrastructure demands. The graduate analyzes the population climate and devises strategies for social policies, as well as contributes expertise to various departments of the public administration. Other roles include proficiency in public statistic services (demographic and health statistics), research and decision-making, as well as in business, marketing, and other industries. The graduate is competent as a professional at any regional administration level. His/her abilities are especially beneficial when implementing long-term initiatives. Scholarship 50 000 Kč This number was calculated by automatic currency conversion using exchange rate for EUR: 27.055 Branch characteristic Demography is the scientific study of human population dynamics. It encompasses the study of the size, structure and distribution of populations, and how populations change over time due to births, deaths, and migration including related events of marriages, divorces and abortions. The relationships between economic, social, cultural, and biological environments and population development in terms of causes and effects (including forecasting) are the object of population studies in broader sense. Demography compiles and analyzes data that are useful for various disciplines dealing with human populations such as: economics, sociology, social medicine, anthropology, historiography, social geography, ecology, etc. Outcomes of demographic studies are important for public administration, policymaking, health service organization, educational system, insurance companies, etc. Description of the entrance examination and evaluation criteria The admissions test consists of a personal interview. In exceptional cases, the dean may permit a virtual interview via communications technology. The maximum score is 100 points During the admissions interview, the applicant must demonstrate language skills to study in the chosen field, and the necessary skills to conduct independent scientific work. The applicant will be asked to elaborate on his/her interest in the particular topic, choice of supervisor, and ability to carry out research in this area. Conditions for admission The doctoral program application must be properly completed and submitted by April 30th, 2016, including all appendices. The applicant must pass an admissions examination by receiving a minimum of at least 50 points during the admissions interview. The applicant must have successfully completed a master’s studies program, verified by the submission of a notarized copy of the diploma or other documentation of master’s degree by September 30th, 2016. The requirement for submitting a notarized copy does not apply to graduates of master’s programs at the CU Faculty of Science. Applicants who have received their master’s degree at a foreign university must submit a certificate of equivalence for this foreign university degree by September 30th, 2016 to the CU FS Department of Studies, unless determined otherwise by international agreement. For applicants still waiting as of Sept. 30th on a ruling regarding recognition of their foreign study, this deadline is extended to October 21st, 2016. [-]

PhD in Probability and Statistics, Econometrics and Financial Mathematics

Charles University Faculty of Mathematics and Physics
Campus Full time Part time 4 years October 2017 Czech Republic Prague + 1 more

The graduates have extensive knowledge from the probability theory, mathematical statistics and optimization, based on abstract mathematics. They are able to make use of new scientific achievements, mathematical methods and modern computational tools, develop them and critically evaluate. [+]

The graduates have extensive knowledge from the probability theory, mathematical statistics and optimization, based on abstract mathematics. They are able to make use of new scientific achievements, mathematical methods and modern computational tools, develop them and critically evaluate. Thanks to a deep learning of probabilistic and statistical models they are ready for a creative work in biomedicine, industry and agriculture. Those oriented to economical backgroud contribute to the modelling of complex economical systems. They are recommended for an academic career, research and development. They can find employment in economic and financial practice, insurance, banking and advisory companies. Tuition Fee: 6000€ [-]

PhD in Physics of Biological and Complex Systems

University of Göttingen
Campus Full time 3 years Open Enrollment Germany Göttingen

The GGNB doctoral program / International Max Planck Research School "Physics of Biological and Complex Systems" is a member of the Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences (GGNB). The research-oriented program is taught in English and open to students who hold a Master's degree (or equivalent) in the physics, biophysics, chemistry, life sciences, medicine, or related fields. [+]

PhD in Physics of Biological and Complex Systems

 

The GGNB doctoral program / International Max Planck Research School "Physics of Biological and Complex Systems" is a member of the Göttingen Graduate School for Neurosciences and Molecular Biosciences (GGNB). It is conducted jointly by the University of Göttingen, the Max Planck Institute for Biophysical Chemistry, and the Max Planck Institute for Dynamics and Self-Organization.The research-oriented program is taught in English and open to students who hold a Master's degree (or equivalent) in the physics, biophysics, chemistry, life sciences, medicine, or related fields.Building upon the increasingly strong links between physics, chemistry and the life sciences, the program aims at advancing the quantitative and molecular understanding of life processes while at the same time exploring new frontiers of physics. Research topics include biomolecular structure and dynamics, biological membranes, motor proteins and pattern formation in systems of interacting cells, neuronal information processing, and hydrodynamics and pattern formation of complex fluids.The program offers cutting-edge advanced microscopy courses and teaches the basics of new cutting-edge techniques essential for studying life processes in combination with quantitative physical approaches and synthetic strategies. An important aim is to overcome traditional barriers between disciplines and expose graduate students to physics, chemistry and biology for a deeper understanding of all areas preparing students for increasingly interdisciplinary life sciences.... [-]


PhD in Mathematical Sciences

University of Göttingen
Campus Full time 6 semesters October 2017 Germany Göttingen

The Göttingen math department offers excellent and manifold opportunities for pursuing a career towards a doctoral degree. Students are integrated into the international and inspiring environment of the department. The spectrum of possible Ph.D research topics ranges from pure over applied mathematics to mathematical statistics. [+]

Description of Study Program The Göttingen math department offers excellent and manifold opportunities for pursuing a career towards a doctoral degree. Students are integrated into the international and inspiring environment of the department. The spectrum of possible Ph.D research topics ranges from pure over applied mathematics to mathematical statistics. Ph.D projects may also be interdisciplinary, with close connections to other disciplines, such as mathematical physics or biophysics. For more information about the various research topics of the Göttingen math department, please consult the faculty homepages. The Ph.D program usually takes three years. During the entire program, doctoral candidates are students of the University of Göttingen. Aside from the research program, Ph.D candidates are additionally required to attend lectures and seminars in order to broaden their knowledge and to acquire new skills. Ph.D students are also expected to present their research results at international conferences and workshops. Ph.D students are integrated into the research activities of up to two research groups. Ph.D students are guided through their program by a thesis committee (comprised of three faculty members) for quality insurance. If you are interested in pursuing a Ph.D in mathematics in Göttingen, please contact a faculty member in order to inquire about open position and financial support. Programme name: Mathematical Sciences (Ph.D.) Degree: Ph.D. or Dr. rer. nat. Standard period of study: 6 semesters Starting semester: Winter or summersemester Admission terms: Limited admissions, application to the faculty Admission requirements: Master in mathematics; application with a master's degree in natural sciences is possible; confirmation of a faculty member to act as an advisor is required Language requirements: Proficiency in written and spoken English is required Application: Contact a faculty member to inquire about open positions [-]

PhD in Applied Statistics and Empirical Methods

University of Göttingen
Campus Full time 6 semesters October 2017 Germany Göttingen

The Centre for Statistics offers an international and interdisciplinary Ph.D. Program in Applied Statistics and Empirical Methods at the Georg-August-Universität Göttingen. [+]

Doctoral Degrees in Statistics in Europe 2017. 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 Methods. [-]

PhD in Applied Mathematics and Statistics

Izmir University of Economics
Campus Full time 4 years September 2017 Turkey Balçova

Nowadays, science and technology is rapidly developing with an ever-increasing impetus and a substantial part of knowledge is comprised of quantitative data. The analysis and interpretation of this data require the use of mathematical and statistical methods. [+]

Nowadays, science and technology is rapidly developing with an ever-increasing impetus and a substantial part of knowledge is comprised of quantitative data. The analysis and interpretation of this data require the use of mathematical and statistical methods. The Applied Mathematics and Statistics doctorate program practiced by the Department of Mathematics enables the students to conduct advanced rersearch for application in the fields of Engineering, Medicine, Physics, Biology, Computer Sciences under the supervision of advisors. The academic staff comprises dynamic lecturers who are capable of conducting efficient scientific research and publishing them in internationally recognized journals. The Applied Mathematics and Statistics Ph.D. program is designed to enable the graduates to have a successful academic career and carry out scientific research. Courses MATH 505 Advanced Mathematical Analysis MATH 601 Differential Equations STAT 601 Probability Theory and Mathematical Statistics GSNS 695 Seminar MATH 602 Advanced Linear Algebra and Optimization GSNS 697 Individual Studies in Applied Mathematics and Statistics GSNS 698 Thesis Proposal in Applied Mathematics and Statistics Elective Courses ECON 517 Financial Econometrics FM 506 Stochastic Processes in Finance IE 502 Probabilistic Systems Analysis IES 503 Artificial Intelligence IES 508 System Simulation and Modeling IES 509 Heuristics IES 511 Machine Learning IES 513 Mathematical Programming and Applications IES 534 Nonlinear Programming IES 570 Criptology and Computer Security MATH 504 Statistics MATH 508 Partial Differential Equations MATH 552 Copula Theory and Its Application in Finance MATH 553 Optimization MATH 554 Basic Topics in Mathematics MATH 555 Financial Mathematics MATH 600 Mathematics Softwares and Research Methods MATH 654 Discrete Optimization and Heuristic Methods MATH 655 Fuzzy Set Theory and Its Applications MATH 656 Complex Analysis MATH 657 Time Scales MATH 658 Data Analysis with Mathematica MATH 659 Graph Theory MATH 660 Algebraic Geometry MATH 661 Finite Fields and Its Applications MATH 662 Cryptography MATH 663 Biomathematics MATH 664 Invariant Theory MATH 665 Algebraic Coding Theory MATH 666 Integral Equations MATH 667 Theory of Finite Elements MATH 668 Spectral Analysis of Differential Operators MATH 669 Applied Homology, Computational Approach MATH 670 Set Theoretic Topology MATH 671 Fuzzy Optimization MATH 672 Algebra MATH 673 Computational Commutative Algebra MATH 674 Group Theory and Its Applications MATH 675 Applications of Modules and Representation Theory STAT 501 Theory of Statistics STAT 502 Stochastic Processes STAT 503 Probability Theory STAT 504 Nonparametric Statistics STAT 505 Applied Statistical Analysis STAT 506 Multivariate Statistics and the Theory of Copulas STAT 551 Actuaria STAT 552 Ordered Random Variables STAT 553 Reliability STAT 554 Statistical Process Control STAT 555 Risk Analysis STAT 556 Linear Statistical Models STAT 557 Time Series Analysis STAT 558 Design of Experiment STAT 559 Advanced Probability Theory STAT 560 Statistical Methods in Biology and Medical Sciences STAT 561 Statistical Softwares and Simulation STAT 562 Combinatorial Analysis and Discrete Distributions STAT 563 Statistical Decision Theory Application Requirements for International Students Who can apply? Foreign nationals Blue Card holders (Turkish citizens by birth, but released from citizenship by the Ministry of the Internal Affairs, and who can certify that their minor children who are registered in that permit are eligible for the rights stated in Law No. 5203) Foreign nationals who became Turkish citizen afterwards/dual citizens in the same status Turkish nationals who completed the last three years of their secondary education (high school) in a foreign country excluding Turkish Republic of Northern Cyprus, (including those who completed their entire secondary education (high school) at Turkish schools in the presence of Ministry of National Education in a foreign country excluding Turkish Republic of Northern Cyprus) before 01 February 2013. Turkish nationals who completed their entire secondary education (high school) in a foreign country excluding Turkish Republic of Northern Cyprus, (including those who completed their entire secondary education (high school) at Turkish schools in the presence of Ministry of National Education in a foreign country excluding Turkish Republic of Northern Cyprus) after 01 February 2013. Turkish Republic of Northern Cyprus nationals who reside there and completed their secondary education there having a GCE AL certificate, and those, who registered to high schools in other countries between 2005-2010 and hold or will hold GCE AL certificate. Who cannot apply? Turkish nationals, who completed their entire secondary education in Turkey or in Turkish Republic of Northern Cyprus. Turkish Republic of Northern Cyprus nationals (excluding the ones who completed their entire secondary education there having a GCEAL certificate, and those, who registered to high schools in other countries between 2005-2010 and hold or will hold GCE AL certificate) Dual citizens who has a Turkish citizenship by birth. (excluding the ones who completed their entire secondary education in a foreign country excluding Turkish Republic of Northern Cyprus/ those who completed their entire secondary education at Turkish schools in a foreign country excluding Turkish Republic of Northern Cyprus) Dual citizens who has a Turkish Republic of Northern Cyprus citizenship (excluding the ones who completed their entire secondary education there having a GCEAL certificate, and those, who registered to high schools in other countries between 2005-2010 and hold or will hold GCE AL certificate) Turkish nationals or dual citizens, who have a Turkish citizenship by birth, that attend schools affiliated to the embassies in Turkey, and foreign high schools located in Turkey. [-]

PhD in Mathematical Analysis, Modelling and Application

International School for Advanced Studies (SISSA)
Campus Full time 3 - 4 years August 2017 Italy Trieste

The aim of the PhD Course in Mathematical Analysis, Modelling, and Applications is to educate graduate students in the fields of mathematical analysis and mathematical modelling, and in the applications of mathematical and numerical analysis to science and technology. [+]

Doctoral Degrees in Statistics in Europe 2017. Purpose of the PhD Course The aim of the PhD Course in Mathematical Analysis, Modelling, and Applications is to educate graduate students in the fields of mathematical analysis and mathematical modelling, and in the applications of mathematical and numerical analysis to science and technology. The goal is to enable PhDs to work as high level researchers in these fields in universities, research institutes, and private companies. Research Topics The activity in Mathematical Analysis is mainly focused on ordinary and partial differential equations, on dynamical systems, on the calculus of variations, and on control theory. Connections of these topics with differential geometry and reduced order modeling are also developed. The activity in Mathematical Modelling is oriented to subjects for which the main technical tools come from mathematical analysis. The present themes are multiscale analysis, mechanics of materials, micromagnetics, modelling of biological systems, computational fluid and solid dynamics and problems related to control theory. The Applications of Mathematics developed in this course are related to the numerical analysis of partial differential equations and of control problems. This activity is developed in collaboration with MathLab for the study of problems coming from the real world, from industrial and medical applications, and from complex systems. Main research lines: Calculus of Variations and Multiscale Analysis Conservation Laws and Transport Problems Geometric Control Theory and Sub-Riemannian Geometry Mechanics of Materials and of Biological Systems Nonlinear Analysis Numerical Analysis Systems Biology The most recent placements after PhD at SISSA: Ecole Polytechnique (Palaiseau, France), University of Oxford (Oxford, UK), California Institute of Technology (Pasadena, USA), Carnegie Mellon University (Pittsburgh, USA), Hausdorff Center for Mathematics (Bonn, Germany), Rutgers University (USA), Universität Zürich (Zürich, Switzerland) General Rules The PhD programme consists in three/four years of study and research. The main selection procedure consists in an entrance examination. This is divided into two parts: in the written part applicants are asked to solve problems from a list given by the entrance committee. The oral exam consists in a discussion on the written test, on the topics studied in the univerisity curriculum, and possibly on the applicant's thesis for the university degree or on other scientific achievements. The applicant's scientific qualifications and references are also taken into account. Non-EU citizens may be admitted on the sole basis of their previous scientific activity, publications, and references, in a pre-selection procedure. They have to pass a "Qualifying Examination" at the end of their first year. Student may choose among different plans of study oriented to the different fields covered by their PhD course. In the first month of the PhD programme, the faculty approves the individual plans of study, taking into account the scientific interests of the students and the skills already acquired in the previous university studies. In the first year, students attend both basic and more advanced courses. To be admitted to the second year they are required to pass the examinations of the courses included in their plan of study. Students are invited to attend, without examinations, also some courses in fields different from those of their plan of study. At the end of the first year students start a research project, under the supervision of a faculty member or of an external collaborator approved by the faculty, in one of the research fields of the PhD programme. During the second and third year students work for their research projects, participate in the seminar activities of the PhD programme, and attend some courses. Examinations have to be passed only by students who worked in their first year in a different PhD programme. Students obtain the PhD degree after submitting their PhD thesis and defending it in front of an examination committee, whose members include SISSA staff members and international experts in the field. SISSA PhD in one of the courses of Mathematics Area is by law equivalent to the Italian degree of “Dottore di Ricerca in Matematica”. [-]

PhD in Statistical Physics

International School for Advanced Studies (SISSA)
Campus Full time 3 - 4 years October 2017 Italy Trieste

Statistical Physics, together with Quantum Mechanics, is the pillar of our understanding of many physical phenomena, from the simplest to the most sophisticated. The field has recently witnessed a significant and impressive outpouring of experimental and theoretical results, [+]

Statistical Physics, together with Quantum Mechanics, is the pillar of our understanding of many physical phenomena, from the simplest to the most sophisticated. The field has recently witnessed a significant and impressive outpouring of experimental and theoretical results, which have created an ideal physicist’s playground. Statistical Physics addresses, for instance, crucial questions about the nature of phase transitions and predicts the possibility to forge new states of matter, such as Bose-Einstein condensation in ultra-cold gases. At the same time, it provides a vital source of fresh ideas and inspiration for those who work in more theoretical directions. Its attraction lies in its ability to produce an array of sophisticated analytical and conceptual tools with far-reaching applications. The remarkable blend of mathematical and physical ideas is at the root of the outstanding scientific elegance and extraordinary efficiency characterizing this scientific area. Thanks to an intense activity of postgraduate courses, weekly seminars, colloquia and journal club meetings, the PhD programme aims at providing students with aims at training students to a complete mastery of the scientific methods of Statistical Physics and exposing them to research topics which are currently at the frontier of this field, such as: Quantum Field Theory Exactly Solvable Models Ultra-cold atomic gases Quantum spin chains Physics out of equilibrium and thermalization properties Quantum quench and entanglement AdS/CFT correspondence Conformal Field Theory Stochastic methods Casimir effect Random matrices The most recent placements after PhD at SISSA: Rockfeller Foundation, New York, USA Rutgers University, Rutgers, USA Nordita, Stockholm, Sweden Max Planck Institute, Munich, Germany Institute of Complex Systems, Santa Fe, USA Ecole Normale Superieure, Paris, France Max Planck Institute, Dresden, Germany Institute of Quantum Optics, Barcelona, Spain CEA, Saclay, France C.N. Yang Institute for Theoretical Physics, Stony Brook, USA PhD Fellowships at SISSA The International School for Advanced Studies (SISSA) welcomes applications for PhD fellowships in Statistical Physics for the academic year 2016/2017. The students are selected through an oral exam held at SISSA, Trieste (Italy). There are two sessions, one in April and one in October, with application deadlines usually the month before. Candidates are entitled to reimbursement of travel expenses. [-]

Doctorate in Statistics

University of Ljubljana
Campus Full time 3 years October 2017 Slovenia Ljubljana

The main goal of the Interdisciplinary Doctoral Program in Statistics is to further educate experts who have some fundamental knowledge in statistical theory, some experience in the field of statistics or some general statistical knowledge, specific to an individual science discipline. Doctoral candidates should gain the capability of scientific thinking and solving new problems in various scientific fields. [+]

Doctoral Degrees in Statistics in Europe 2017. Advanced knowledge of statistics is of significant importance in science and is the foundation for research in practically all academic disciplines. At the same time, advanced experts in statistics are sought by various services, from state administration to research departments in different companies. In the past decades, statistics as an independent scientific discipline has made enormous contribution to science and society. It has become a tool applicable in diverse fields such as agriculture, biology, business and economics, education, engineering, law, medicine, the military, public administration, social sciences, etc. In the past few years University of Ljubljana organized interdisciplinary masters/doctoral program in the field of statistics which was very well accepted by the users. The program was organized and carried out by lecturers from the Biotechnical Faculty, Faculty of Economics, Faculty of Mathematics and Physics, Faculty of Medicine and Faculty of Social Sciences. The experience gained in this program was very helpful in preparing new doctoral program as the third cycle of education according to Bologna scheme. On the basis of good experience in the past and of the noticeable advantages of the interdisciplinary approach, the Interdisciplinary Doctoral Program in Statistics is also organized at the university level. The program offers seven modules: biostatistics, statistics of social sciences, mathematical statistics, economics and business statistics, official statistics, psychological statistics and technical statistics. Basic program goals and general competences The main goal of the Interdisciplinary Doctoral Program in Statistics is to further educate experts who have some fundamental knowledge in statistical theory, some experience in the field of statistics or some general statistical knowledge, specific to an individual science discipline. Doctoral candidates should gain the capability of scientific thinking and solving new problems in various scientific fields. After completion of their studies the doctoral graduates will be qualified for creative and independent research work and for solving statistical problems of future employers. In the specific scientific field they will be able to form definitions of research problems and find optimal solutions. They will be capable to link together the existing methods, develop new methods with critical approach and clearly defined criteria based on statistical theory. They will be able to critically assess research results and capable to transferring new knowledge into practice. Due to distinct international orientation of the program, they will acquire the ability to communicate in an international scientific environment. Application and enrolment in the Doctoral Program in Statistics Call for enrolment is published on the UL web page (www.uni-lj.si) no later than 4 months prior to the start of the academic year. Applicants for admission to the program can apply according to the instructions in call for enrolment. Enrolment will take place in September at the Faculty of Mathematics and Physics, Jadranska ulica 19, Ljubljana; the dates of enrolment are published at the webpage http://www.uni-lj.si/studij/studijski_programi/podiplomski_studij_3_stopnja/statistika/. Upon enrolment to an individual year of doctoral studies, the candidate and the University of Ljubljana sign the education agreement. [-]

PhD in Astroparticle Physics

GSSI - Gran Sasso Science Institute
Campus Full time 3 years November 2017 Italy L'Aquila

The main aim of the curriculum in Astroparticle Physics is to provide the entrance points and the scientific and cultural tools to participate successfully to the researches in this interdisciplinary and young research field, grown at the intersection of particle physics, nuclear physics, astrophysics and cosmology. The program addresses some of the most pressing and fundamental questions in science today: the origin and the evolution of our universe, the nature of dark matter and dark energy, the study of neutrinos, of cosmic rays, of gravitational waves. A special attention will be given to experimental and phenomenological aspects. [+]

The main aim of the curriculum in Astroparticle Physics is to provide the entrance points and the scientific and cultural tools to participate successfully to the researches in this interdisciplinary and young research field, grown at the intersection of particle physics, nuclear physics, astrophysics and cosmology. The program addresses some of the most pressing and fundamental questions in science today: the origin and the evolution of our universe, the nature of dark matter and dark energy, the study of neutrinos, of cosmic rays, of gravitational waves. A special attention will be given to experimental and phenomenological aspects. Places / Scholarships : 10 Scholarships GSSI awards scholarships for 3 years. The yearly amount of the scholarship is of €16.159,91 gross(an additional 50% on monthly basis may be awarded for research period aboard if approved by the GSSI). Facilities and benefits All PhD students will have tuition fees waived; All PhD students will have free accommodation at the GSSI facilities or a financial substitute of 350,00 Euros gross/month (to obtain the contribution, the students would have to present a rental agreement); All PhD students will have free luncheon vouchers(1 per day, working days,except school closures, missions, other situations contemplated by the GSSI rules); All PhD students will be covered by insurance against any accident and/or injury that may occur while carrying out their PhD activities. Requirements English knowledge is compulsory. Applications are opened to candidates who meet the below requirements without regard to nationality, age, gender or religion: Italian Degree Foreign Degree Graduating Applicants “Laurea Magistrale” (or “Specialistica”) or Four or five years degree according to the previous rules of the Italian higher education system (vecchio ordinamento) Foreign degrees are considered and their eligibility is assessed by the Selection Committee. For admissions, the minimum duration of university studies is equivalent to four years(full time). If admitted,foreign degree holders are required to hand in a “Dichiarazione di valore”. This document is not required to apply (see below). Applicants obtaining their degree by no later than October 31 2016 may apply (both Italian or foreign degree according to the previous description).Applicants will have to send a copy of their degree certificate at phd.secretariat@gssi.infn.it by November 20 2016(for Italian degrees a“self declaration” can also be accepted). Application Applicants must fill out the online application form (www.gssi.it/phd/) and attach the required documents by September 1,2016, 6pm (Italian time zone).No other application method will be accepted. Data and documents entered into the application form are the sole responsibility of the applicant. In the events of false declaration(s), the applicant will not be allowed to enroll/will be expelled in/from the PhD program. In order to successfully submit the application form, applicants must insert all the data/information and upload the attachments as listed below. We strongly recommend applicants to review the inserted information and uploaded attachments before submitting the application. No changes are allowed to submitted data. Erroneous data and/or attachments will be evaluated as they are submitted. Please note that applicants are responsible for ensuring that their completed application arrives on time. We strongly suggest that applicants submit their application well in advance of the deadline in order to avoid last-minute congestion in the online application procedure. INFORMATION AND DATA TO FILL IN THE ONLINE FORM The PhD applicants are applying to: Astroparticle Physics Compulsory (on pain of exclusion from the competition) It is possible to apply for more than one curriculum, in this case the applicant should repeat the application procedure for each curriculum chosen(also for the additional scholarship in Network Communications in Plant Roots). Personal data Compulsory (on pain of exclusion from the competition) Compulsory (on pain of exclusion from the competition) Degree Compulsory (on pain of exclusion from the competition) Applicants must fill out the information referred to the final degree required for admission (as reported in the above table). Reference Letters Optional Applicants can provide the names and contact information up to two referees. Referees should submit reference letters in English or Italian through the online application system (the information provided by the applicants in the online form will be used to send the referees and email with a link to a page where they can upload the reference letter). Interview Compulsory (on pain of exclusion from the competition) Applicants must specify their preference for the interview: via videoconference (skype call) in l’Aquila (at the applicants expenses) Please note that the Selection Committee prefers no option, they are equivalent. Disabilties Optional/td> Applicants with disabilities needing special assistance must specify it in the online form. ATTACHMENTS TO THE ONLINE FORM, COMMON TO ALL PHD PROGRAMS Identification Document Compulsory (on pain of exclusion from the competition) Signed and dated photocopy of a valid ID document.ID document is an official public document with the following characteristics: personal information, stamped identity picture, serial number, place and date of release. For non Italian documents, English translation on the original ID is required. The photocopy must contain all the pages reporting the above mentioned information, all 6 pages must be signed and dated. For foreign applicants the passport is highly recommended. Curriculum Vitae et Studiorum (CV) Compulsory (on pain of exclusion from the competition) n English or Italian, the CV must indicate the university degree(s) held by the applicant, eventual professional and research activity experience and publications, if any. Degree certificate Compulsory Certificate of the Degree required for admission (as above mentioned): EU citizens or NON EU citizen residing in Italy: a copy of the certificate or a self-declaration declaring the possession of a degree indicating: conferral date, issuing University and final grade; other applicants: certificate declaring the possession of a degree indicating: conferral date, issuing University and finalgrade.For applicants who expect to complete their degree by October 31 2016: certificate or self-declaration (only for EU citizens and NON EU citizens residing in Italy) indicating the single examinations taken and grades obtained. Please note that it is compulsory to hand in or send the final degree certificate by November 20 2016 as above mentioned. In BOTH cases, if the official document released by the university is not available in Italian or English, candidates should also attach a translation of the document under their responsibility. Academic Transcripts or Diploma supplement Compulsory Academic transcript: an official document released by the university detailing the courses/classes taken or subjects studies and related grades. Alternatively, applicants may attach the Diploma Supplement as defined by the European Commission. SPECIFIC ADDITIONAL COMPULSORY REQUIREMENTS TO UPLOAD TO THE ONLINE FORM PHD PROGRAM DESCRIPTION Astroparticle Physics No additional specific requirement. Selection Procedure Applicants are evaluated by the Selection Committee of the Program they applied for on the basis of their prior performance and professional promise, as evidenced by their academic record and any other pertinent data they submit. Candidates will be evaluated on the basis of their academic background, skills and scientific value with reference to the subjects of the interdisciplinary program, and their general aptitudes to research. The Selection Committee will also assess the relevance of any publication, the suitability of the candidates CV, the reference letters and any additional special qualifications, educational activities and/or participation in research groups or projects. The selection procedure will be carried out in two phases: Assessment of all application admitted through the online procedure: with the publication on the GSSI web site of the shortlist of the candidates admitted to the interview. Interview: once short-listed, applicants will be required to participate in a comprehensive interview in English in order to assess their aptitude for research in the track/curricula for which they have applied, as well as their English proficiency. Dates of the shortlist publication and interviews in the different PhD degrees: PhD Program Publication of the shortlisted candidates Interviews Astroparticle Physics September 5, 2016 From 8 to 16 September 2016 Admission General ranking list and evaluation results will be published on the GSSI web site: www.gssi.it.The list will indicate the names of the applicants who have been admitted to the different PhD Programs. In the event of forfeiture or exclusion of a candidate within 45 days from the date of beginning of the program, she/he shall be replaced by the next suitable candidate according to the ranking. Enrollment Once admitted to the PhD Program, candidates who wish to enroll must download the enrollment form given by the GSSI administration, fill it in, and submit it in person, by mail to GSSI, Viale F. Crispi n. 7, 67100 L’Aquila –Italy or by email phd.secretariat@gssi.infn.it within 10 days from the notification of the results on the GSSI website. All documents required for the enrolment have to be enclosed; otherwise, the request will be rejected.Admitted applicants who do not send the enrollment form within the deadline will automatically forfeit their place in the program. In the event that any of the documents downloaded during the application procedure do not correspond those submitted during enrollment due to deliberate false declaration, the applicant will automatically forfeit his/her place in the program. Please note that enrollment is effective ONLY starting from your arrival at GSSI (no later than the first day of official classes). Unauthorized absences may nullify the enrollment procedure. FOREIGN DEGREE HOLDERS: Dichiarazione di Valore Prior to registration, admitted candidates with foreign degree (except degree obtained in France, Germany, Ireland, Belgium, Denmark) will have to send or hand in the “Dichiarazione di valore” or a document that certifies that the procedure for obtaining such document has been initiated. The "Dichiarazione di valore" is a translation and legal certification issued according to the relevant legislation by a qualified Italian diplomatic or consular representative in the country where the degree/qualification has been issued, listing all the exams taken and the grades received by the applicant.Temporarily, a proof of the request to the Italian diplomatic or consulate representative may be accepted for “on hold” registration. IMPORTANT NOTE: please note that it may take quite some time to obtain the “Dichiarazione di Valore”. As such, we suggest contacting the Italian diplomatic representative in the country where the degree has been issued as soon as possible in the application process. Contact and info info@gssi.infn.it, +39 0862 4280262, www.gssi.infn.it. [-]