Part time Doctoral Degree in Mathematics

Find Part time PhD Programs in Mathematics 2017

Mathematics

The most popular doctorate is the Doctor of Philosophy or Ph.D. Ph.D.s and other study doctorates prepare graduate student to launch new plans that add to the common knowledge base of the field. Candidates for and holders of Ph.D.s often seek professions as professors and researchers, but many also go on to different roles in the charitable, public, and private sectors.

Mathematics is a discipline that needs frequent studies, research and analysis of the legendary mathematical formulas. This training will help you understand the mathematical concepts. At the same time, you will come up with better ways to simplify the mathematical formulas to ease the understanding process especially for students.

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PhD in Multidimensional Complex Analysis

Siberian Federal University
Campus 4 years September 2017 Russia Krasnoyarsk

Research in multidimensional complex analysis at Siberian Federal University is about several topics. The overarching theme is the interaction between complex analysis and other areas of mathematics and physics. [+]

Best Part time Doctorate Studies in Mathematics 2017. Research in multidimensional complex analysis at Siberian Federal University is about several topics. The overarching theme is the interaction between complex analysis and other areas of mathematics and physics. For example, methods and techniques of functional analysis are applied to the study of PDEs in domains of complex space. Algebraic geometry plays an important role in the study of distribution of complex algebraic and analytic sets and its applications in physics. Alternatively, analytic methods are used in the theory of algebraic and hypergeometric functions, in the description of the structure of discriminantal sets. Other examples include the study of multidimensional difference equations, analytic continuation of functions and sets. Programme Leader Professor Tsikh worked at the universities of Stockholm, Bordeaux, Berlin, Calabria (Italy), Armidel (Australia), Max Planck Institute in Bonn, Institut Mittag-Leffler in Stockholm. Research interests: complex analysis, algebraic geometry, tropical geometry, signal processing, math- ematical physics (superstring theory, thermodynamics) Entry requirements: Master’s degree (or equivalent) in Mathematics, Physics, or Computer Science; desired qualifications: good knowledge of mathematical analysis; an adequate level of English proficiency (certificate or other document) Apply to The Centre for International Education and Certified Testing for a certificate if you do not have it, the Russian language preparatory course is available. Accommodation: On-campus accommodation is available: single ensuite room 45 € per month, twin ensuite room 30 € per month. Practicalities: Airport transfer, invitation letter for a Russian study visa and an optional survival course of Russian as a foreign language are provided by the University. Research Professor Ari Laptev (Imperial College London, KTH, Institut Mittag-Leffler) leads the university team to develop academic research and expertise at the laboratory of complex analysis and differential equations. The research project is supported by the Government of the Russian Federation. Curriculum BASIC COURSES Complex and Functional Analysis 5 (180) Current Problems in Mathematics 5 (180) Algebraic geometry 5 (180) ELECTIVES Processing of experimental data 3 (108) Methodology of PhD Thesis Preparation 3 (108) Academic English 3 (108) Basic English 3 (108) Russian (fee will apply) 3 (108) [-]

PhD in Mathematics

Koc University - Istanbul Turkey
Campus September 2017 Turkey İstanbul

The department of Mathematics offers graduate courses leading to Ph.D. degree in Mathematics. The department emphasizes both pure and applied mathematics [+]

PhD in Mathematics

 

The department of Mathematics offers graduate courses leading to Ph.D. degree in Mathematics. The department emphasizes both pure and applied mathematics. Research in the department covers algebra, algebraic geometry, number theory, functional analysis, differential geometry, differential equations, combinatorics, topology, biomathematics, statistics, probability, stochastic analysis and mathematical physics. In addition to the following courses, students in this program can take any of the courses listed under the “M.S. in Mathematics” program or from other courses not listed here in accordance with their areas of specialization and subject to the approval of their advisors.... [-]


Doctoral Programme in Science (Technology)

Aalto University
Campus Part time August 2017 Finland Espoo

The goal of the programme is to train doctors in physics, mathematics, biomedical engineering, computer science and industrial engineering and management to serve in the academic world, public sector and industry and commerce. [+]

Best Part time Doctorate Studies in Mathematics 2017. The goal of the programme is to train doctors in physics, mathematics, biomedical engineering, computer science and industrial engineering and management to serve in the academic world, public sector and industry and commerce. Doctors graduating from Aalto Doctoral Programme in Science have what it takes to serve in demanding academic research and teaching positions and in expert, development and management positions of the information society. The departments, which are in charge of doctoral education at the School of Science, offer research fields that are based on strong research traditions and research at the highest international level. At the moment there are four Centres of Excellence in Research at the departments of the School of Science designated by the Academy of Finland. The School of Science is also very active in the national Doctoral Education Networks. What can you study? Aalto Doctoral Programme in Science offers the degree of Doctor of Science (Technology) in one of the following departments and their research fields: Department of Applied Physics Department of Computer Science Department of Industrial Engineering and Management Department of Mathematics and Systems Analysis Department of Neuroscience and Biomedical Engineering Graduate as doctor in four years Doctoral education at the School of Science is based on vigorous basic research that forms a strong basis for teaching and both development and innovation activities. The most important part of the education is writing the dissertation in a strong research milieu. The theoretical studies that support the thesis work are tailored individually to suit the different needs of each doctoral student. The dissertations of the School of Science are of very high quality and often contain articles published in publications of the highest international level. Full-time students can complete the doctoral degree in four years. The most talented students may apply for funding from their department or they may fund their studies through projects. The students should discuss funding primarily with their supervising professor. International studying environment Internationality is an integral part of the School’s doctoral education in both recruiting and educating doctoral students. The School of Science is well connected with several top-level universities and research institutes in its field. Aalto University encourages its doctoral students to spend at least six months of their study time abroad. International mobility enhances doctoral students’ career possibilities. Visiting a foreign university or research institute often means sharing knowledge and know-how, creating new ideas, expanding international networks, and developing one’s professional skills. Working life and doctoral degree 40% of all doctors graduated from Aalto University come from the Aalto Doctoral Programme in Science. Those that have graduated from the Doctoral Programme have positions in the academic world, the public sector or in the industry and commerce. [-]

PhD in Mathematics

Universidade Lusófona de Humanidades e Tecnologias
Campus 3 years October 2017 Portugal Lisbon

The Ph.D. programme aims to provide a solid scientific training in Mathematics, enabling the integration of students in the research activities carried out by the Centre for Research in Mathematics. [+]

PhD in Mathematics

Entrance Conditions

The following may apply for the Doctoral Programme:

a) People who hold a master's degree or legal equivalent degree;

b) People who hold a B.A., people who have an especially relevant school or scientific curriculum that is acknowledged as certifying capacity to obtain this study cycle by the Doctoral Programme's Scientific Committee;

c) People who have a school, scientific and professional curriculum that is acknowledged as certifying capacity to obtain this study cycle by the Doctoral Programme’s Scientific Committee.

Objectives

The Ph.D. programme aims to provide a solid scientific training in Mathematics, enabling the integration of students in the research activities carried out by the Centre for Research in Mathematics.... [-]


PhD in Mathematical and Computer Modelling

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

This diploma holder has completed the program of combined mathematics and physics, focused on modeling in physics of solids, liquids, gasses, and plasmas. In accord with the doctoral thesis topic, he/she was devoted to continual, particle, or hybrid modeling, with emphasis either in mathematics or in physics. [+]

Best Part time Doctorate Studies in Mathematics 2017. This diploma holder has completed the program of combined mathematics and physics, focused on modeling in physics of solids, liquids, gasses, and plasmas. In accord with the doctoral thesis topic, he/she was devoted to continual, particle, or hybrid modeling, with emphasis either in mathematics or in physics. Continual modeling in this program is focused on the mechanics and thermodynamics of fluids or solids and on mathematical and numerical analysis and solution of the corresponding systems of partial differential equations. Particle and hybrid modeling is devoted to the study of macromolecules, thin films, surfaces, and plasmas. Alumni from this program exhibit solid knowledge of mathematics, physics, and computational methods, are flexible, and possess ability to formulate, analyze, and solve numerically real-world problems. Tuition Fee: 6000€ [-]

PhD in Mathematical Sciences

University of Göttingen
Campus 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 Actuarial Science

University of Kent, School of Mathematics, Statistics & Actuarial Science
Campus Part time 3 - 6 years August 2017 United Kingdom Canterbury

There's an active seminar programme involving a wide range of speakers and members of the PhD community regularly attend/present their work at leading conferences and institutes. [+]

Best Part time Doctorate Studies in Mathematics 2017. PhD Actuarial Science There's a robust research environment at Kent in the fields of Finance and Actuarial Science. Areas of research include financial modelling and estimation, quantification of diversification benefits, quantifying financial risks, and derivatives pricing. There's an active seminar programme involving a wide range of speakers and members of the PhD community regularly attend/present their work at leading conferences and institutes. The PhD in Actuarial Science offers the opportunity to begin or consolidate your research career under the guidance of internationally renowned researchers and professionals in the School of Mathematics, Statistics and Actuarial Science (SMSAS). The School has a strong reputation for world-class research and a well-established system of support and training, with a high level of contact between staff and research students. The Centre for Actuarial Science, Risk and Investment (CASRI) was recently set up within SMSAS to reflect the widening scope of the teaching and research of the staff. Areas of research interest include economic capital and risk management for financial services firms, mortality and longevity modelling, longevity indices and markets. Other research topics include genetics and insurance, insurance economics, pensions and corporate reporting. Course structure The PhD in Actuarial Science offers the opportunity to begin or consolidate your research career under the guidance of internationally renowned researchers and professionals at SMSAS. The School has a strong reputation for world-class research and a well-established system of support and training, with a high level of contact between staff and research students. Research areas Areas of interest include economic capital and risk management for financial services firms, and all areas of mortality and longevity research. Other research topics in the School include genetics and insurance, insurance economics, pensions and corporate reporting. Genetics and insurance risk Advances in human genetics, and medical sciences in general, have led to many gene discoveries; a number of single-gene disorders have been successfully identified and studied in detail. Researchers are now increasingly focusing on common multifactorial genetic disorders such as cancer, heart attack and stroke, caused by interaction of genes and environmental factors. It is important for the insurance industry to understand the full implications of these latest developments. First, can an insurer justify charging different premium rates to different risk groups? Second, if insurers are not allowed to discriminate between individuals based on their genes, by regulation or by law, is there a risk of adverse selection? From a public policy perspective, regulators and governments face the dilemma of whether to regulate against genetic underwriting or to allow market economies to take their own course. On one hand, there is a moral obligation not to discriminate against individuals for their genetic make-up. On the other hand, risk of adverse selection against insurance firms cannot be ruled out altogether. Maintaining an appropriate balance between the two is key. Economic capital and financial risk management Financial services firms are in the business of accepting risks on behalf of their customers. Customers do not always have the time or expertise to handle financial risks on their own, so they pass these on to financial services firms. However, even the most reputable firms can sometimes get it wrong, so it is fundamentally important for all stakeholders that financial services firms hold an appropriate amount of capital calculated on a robust scientific basis, to back the risks they are running. Economic capital can provide answers by specifying a unifying approach to calculating risk-based capital for any firm in the financial services sector. Fees As a guide only, the 2014/15 annual tuition fees for this programme are: Actuarial Science - PhD at Canterbury: Full-time: £3996 UK/EU; £12450 Overseas Part-time: £1998 UK/EU; £6240 Overseas Key facts Subject area: Actuarial Science Award: PhD Course type: Research Location: Canterbury Mode of study: Full-time or part-time Attendance mode: Campus Duration: Three to four years full-time, five to six years part-time Start: September Accredited by: Institute and Faculty of Actuaries [-]

Doctor of Philosophy (PhD) in Mathematical Sciences

College of Engineering and Mathematical Sciences
Campus September 2017 USA Burlington

The Department offers programs towards the Master of Science, Master of Science in Teaching, and the Doctor of Philosophy in Mathematical Sciences. There are two areas of concentration: pure mathematics and applied mathematics. The programs emphasize the interaction between these two areas and the common role of scientific computation. Students can take courses common to both areas, enabling them to gain an... [+]

Doctor of Philosophy (PhD) in Mathematical Sciences The Department offers programs towards the Master of Science, Master of Science in Teaching, and the Doctor of Philosophy in Mathematical Sciences. There are two areas of concentration: pure mathematics and applied mathematics. The programs emphasize the interaction between these two areas and the common role of scientific computation. Students can take courses common to both areas, enabling them to gain an appreciation of the mathematical techniques and the connections between theory and applications. Department research interests include classical analysis, harmonic analysis, Fourier analysis, approximation theory, algebra, number theory, graph theory, combinatorics, fluid mechanics, biomathematics, differential equations, numerical analysis, and modeling. Requirements for Admission to Graduate Studies for the Degree of Doctor of Philosophy Because of the breadth of pure and applied mathematics, it is recognized that applicants for admission will have diverse backgrounds. Admission requirements are therefore flexible. Applicants should have demonstrated strength in either pure or applied mathematics, a bachelor's degree with a major in mathematics or a closely related discipline, and satisfactory scores on the general Graduate Record Examination. Requirements for Advancement to Candidacy for the Degree of Doctor of Philosophy Successful completion of three qualifying examinations, two written and one oral, in one of the areas of concentration. Minimum Degree Requirements for the Degree of Doctor of Philosophy Each student must complete the three qualifying exams and an approved plan of study including at least 75 credit hours in course work or dissertation research. The student is required to write a doctoral dissertation and pass a final oral defense of that dissertation. The Department requires two semesters of college-teaching experience. Students are expected to demonstrate appropriate proficiency in the use of computers. There is no formal language requirement. Career Opportunities A graduate degree in the mathematical sciences will give you good preparation for a career in business, industry, government, teaching or research. Graduates of our programs are employed in the computer, communications, information, financial, and pharmaceutical industries; in engineering and consulting firms; in the insurance industry as actuaries; in schools, colleges, and universities; in goverment agencies; and in a wide variety of other occupations requiring strong analytical and problem solving abilities. Resources Career Information (American Mathematical Society) Mathematics Careers (Mathematical Association of America) Careers in Statistics (American Statistical Association) Careers in Applied Mathematics & Computational Sciences (Society for Industrial and Applied Mathematics) Society of Actuaries Career Center Jobs for Mathematicians (MathJobs.org) Occupational Outlook for Mathematicians (Bureau of Labor Statistics) Occupational Outlook for Statisticians (Bureau of Labor Statistics) [-]

PhD in Didactics of Mathematics

Charles University Faculty of Education
Campus Part time 4 years October 2017 Czech Republic Prague

The graduate of the PhD studies in mathematics education is prepared to deal with both theoretical and application problems in the mathematical education of children and adults and carry out both scientific and pedagogical activities. [+]

Best Part time Doctorate Studies in Mathematics 2017. Profile of the graduate The graduate of the PhD studies in mathematics education is prepared to deal with both theoretical and application problems in the mathematical education of children and adults and carry out both scientific and pedagogical activities. He/she contributes to the improvement of mathematical education of pupils and to the professionalization of teachers. He/she can work at universities, in scientific institutes and as a highly qualified teacher-mediator between research and practice. He/she is able to: recognize up-to-date key topics of the field; propose, realise and evaluate research bringing original results; systematically follow local and international scientific literature and appraise it critically; publish results of his/her work in refereed journals, at local and international conferences, in textbooks and possibly in monographs. Tuition Fee 180.000 Kč This number was calculated by automatic currency conversion using exchange rate for EUR: 27.055 Characteristics of the Studies Candidates for doctoral studies in Didactics of Mathematics are expected to: show interest in mathematics education in general (for example, by taking part in scientific conferences and conferences for teachers), have an overview of the most important scientific journals and books related to mathematics education, have an idea of the area of mathematics education they are willing to focus on in their studies and be able to specify it in a written project of up to 10 pages (including tentative research questions, methodology and theoretical background and a list of references). Description of the entrance examination and evaluation criteria Entrance Examination 1) Discussion about the thesis project. The project must be sent together with the application to the Department of Science, Faculty of Education, Charles University in Prague. The quality of the project is important in order to be assessed by the entrance committee, which will evaluate the candidate's readiness to do research in mathematics education. 2) Discussion about the references from the candidate's list of scientific literature on mathematics education (must be sent together with the application). Evaluation Criteria: The applicant can get a maximum of ten points, the number of points for the admission to study is getting at least seven points. Conditions for admission Candidates are admitted to study if they meet all admission requirements: a) to submit an application in time and with all required particulars and supplements, b) to deliver a certified copy of completion of Master’s degree programme, c) to pass an entrance examination, reach minimum number of point determined by the Dean. [-]

PhD in Mathematics Applied to Economics and Management

ISEG - Lisbon School of Economics & Management
Campus 3 years September 2017 Portugal Lisbon

The PhD in Mathematics Applied to Economics and Management has recently been redesigned as a 3rd cycle course in accordance with the present legislation, to fulfill a ... [+]

PhD in Mathematics Applied to Economics and Management

The PhD in Mathematics Applied to Economics and Management has recently been redesigned as a 3rd cycle course in accordance with the present legislation, to fulfill a gap regarding advanced training in Mathematics involving applications to the fields of Economics and Management.

This new course boasts highly qualified professors, particularly in the areas of Actuarial Science, Analysis, Dynamic Systems, Finance Econometrics, Finance Mathematics, Macro and Micro-Econometrics, Operational Research, Statistics and Time Series.

Where is the course taught?

In Lisbon, at the School of Economics and Management (ISEG), one of the seven autonomous institutes making up the Technical University of Lisbon.... [-]


PhD in Mathematics

RMIT University
Campus 4 years January 2017 Australia Melbourne

Our mathematics programs link theory to practical projects and real-world scenarios. We use relevant computer software packages to support our... [+]

PhD in Mathematics

Use your logical, analytical and creative problem solving skills and contribute to practical and applied mathematical solutions.Our mathematics programs link theory to practical projects and real-world scenarios.We use relevant computer software packages to support our analytical problem solving and creative solutions. These include Maple, Matlab, Mathematica and Minitab.Experienced researchers will supervise your work on an industry-related project in the following fields:

Mathematics Statistics and operations research

This PhD may be undertaken in a project, thesis by publication or thesis mode. Prospective candidates should discuss these modes of submission with their potential supervisor/s prior to application.... [-]


PhD in Mathematics in Natural, Social and Life Sciences

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

The PhD program in Mathematics in Natural, Social and Life Sciences aims to guide graduate students to deal not only with the most classic aspects of Mathematics, such as Partial Differential Equations, Stochastic Analysis, Mathematical Physics and Numerical Analysis but also with emerging new challenges proposed by non traditional domains of application, requiring the development of new tools and inter and multidisciplinary approaches. One additional PhD position will be financed by Istituto Italiano di Tecnologia (IIT)for the research program in Network Communications in Plant Roots(see the following table*). [+]

The PhD program in Mathematics in Natural, Social and Life Sciences aims to guide graduate students to deal not only with the most classic aspects of Mathematics, such as Partial Differential Equations, Stochastic Analysis, Mathematical Physics and Numerical Analysis but also with emerging new challenges proposed by non traditional domains of application, requiring the development of new tools and inter and multidisciplinary approaches. One additional PhD position will be financed by Istituto Italiano di Tecnologia (IIT)for the research program in Network Communications in Plant Roots(see the following table*). Places / Scholarships : 10 + 1 for the research program in Network Communications in Plant Roots *One additional scholarship of the PhD in Mathematics in Natural, Social and Life Sciences will be financed by the Italian Institute of Technology for the research program in Network Communications in Plant Roots with the following conditions: 1 PhD position GSSI –IIT for the research program in Network Communications in Plant Roots Salary Gross Amount and additional benefits follow the ordinary GGSI rules. Financial Support: Italian Institute of Technology -IIT Scientific Directors: Pierangelo Marcati (GSSI) Barbara Mazzolai (IIT) Locations of the scientific activity: Gran Sasso Science Institute(GSSI) –Viale F.Crispi n. 7, 67100 L’Aquila, Italy; IIT -Center for Micro-BioRobotics (IIT@SSSA)–Viale R. Piaggio n.34, 56025 Pontedera PI,Italy. Different locations may be agreed between the scientific directors. Fellowship Research Program: data collections, quality of data, mathematical models and simulations on plant roots The student will be enrolled in the Ph.D program of “Mathematics in Natural, Social and Life Sciences” of the GSSI (the XXXII cycle in the italian national Ph.D scheme) and her/he will be required to follow the school by laws and regulations. The PhD fellow research activity is expected to be full time dedicated to investigate topics within the fellowship research program, under the supervision of the scientific directors. The fellow publications and the Ph.D thesis are subject to the prior approval from both of the scientific directors. Failure by the PhD fellow to pursue her/his research in the required topics can lead any moment the GSSI to exclude the fellow from the PhD program./td> Selection Procedure: the application to the present program can be done with the standard GSSI procedure, by using the dedicated option on the URL http://www.gssi.infn.it Information can be required to phd.secretariat@gssi.infn.it Preferred background Beyond the admission requirements to GSSI, the selection committee will consider a specific background (possession of an M.Sc degree will be considered) in Applied Mathematics or theoretical physics or theoretical aspects in engineering. An important consideration will be given the knowledge of basic numerical and theoretical aspects of ODEs and PDEs, the basic knowledge of probability and some experience in mathematica modelling. 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: Mathematics in Natural, Social and Life Sciences 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 Mathematics in Natural, Social and Life Sciences Applicant are required to upload also a file containing a synthetic report of the core courses followed on the following topics: Partial Differential Equations Probability/stochastic processes Functional Analysis Numerical Analysis Physics/continuum mechanics/fluid dynamics For each course in this area, students should provide a short syllabus (no more than 10 lines) main textbooks, name of the instructors and possibly the link to the course home page. 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 Mathematics in Natural, Social and Life Sciences 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. [-]

PhD in Mathematical Analysis, Modelling and Application

International School for Advanced Studies (SISSA)
Campus 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. [+]

Best Part time Doctorate Studies in Mathematics 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”. [-]

Doctorate in Arts and Science

International University For Graduate Studies - IUGS
Online & Campus Combined Part time February 2017 Dominica Portsmouth

The Doctor of Philosophy (PhD) may be undertaken in any discipline within the Arts or Sciences. The degree offers ABDs or those who have earned sixty-six graduate credits from an accredited institution the opportunity to complete their doctoral studies. [+]

The Doctor of Philosophy (PhD) may be undertaken in any discipline within the Arts or Sciences. The degree offers ABDs or those who have earned sixty-six graduate credits from an accredited institution the opportunity to complete their doctoral studies. Sixty-six graduate credits are needed for transfer. These credits may be taken prior to or after admission. An additional twenty-seven credits are to be earned at International University for Graduate Studies. Candidates are required to undertake six credits of non-classroom research and design, which is the foundation for the eighteen credit doctoral dissertation and oral defense. In addition, a three-credit eight-day doctoral seminar is required. The sixty-six transferred credits and the additional twenty-seven credits which are earned at IUGS will total ninety-three credits and will meet the requirements for the Doctor of Philosophy. Before writing the dissertation, all candidates must select a mentor with a doctorate in a related field of study so that he or she may guide the doctoral candidate in completion of the dissertation. The doctoral candidate may select a mentor known to her or him, or have an appropriate mentor assigned by the Dean of Arts and Science. The academic environment at International University for Graduate Studies respects the doctoral candidate's professional experience, academic background and maturity. Doctoral candidates bond with mentors, faculty and fellow students during the learning process, while accomplishing their professional goals. DEGREE REQUIREMENTS Doctor of Philosophy (Ph.D.) A relevant master's degree. Documented pertinent professional experience. 93 credits*, which include the following: Doctor of Philosophy (Ph.D.) 66 post-baccalaureate graduate credits* on-line with IUGS or in transfer, prior to, or after admission. Research and Design, I, II. (12 credits)** The 8 day Graduate Seminar at the 10 day residency. (3 credits) A Dissertation and Oral Defense. (12 Credits) *All relevant graduate credit, including those credits from graduate degrees, as well as approved graduate level, continuing education, certification and licensing coursework. **Distance Learning. [-]

PhD in Applied Mathematics and Fuzzy Modelling

University of Ostrava
Campus Part time 4 years September 2017 Czech Republic Ostrava

PhD students in Applied Mathematics and Fuzzy Modelling then choose one of the following specializations: Differential equations: geometric, variational, and optimization methods; Analytical number theory; Fuzzy modelling. [+]

Best Part time Doctorate Studies in Mathematics 2017. PhD students in Applied Mathematics and Fuzzy Modelling then choose one of the following specializations: Differential equations: geometric, variational, and optimization methods Analytical number theory Fuzzy modelling Ad 1) The study in the specialization “Differential Equations: Geometric, Variational, and Optimization Methods” of the PhD study field Applied Mathematics and Fuzzy Modelling focuses on one of the following areas: global variational analysis, differential equations on manifolds, differential invariants and natural Lagrange structures, optimization in abstract and infinite-dimensional spaces, stochastic-heuristic algorithms in global optimization. The study in this specialization also pursues applications, namely: applications in physics and engineering (variational principles, dynamical control and optimization, non-holonomic mechanics and field theory, real-life, everyday operational problems in business, industry, entrepreneurship, sustainable development, etc. The solution involves a mathematical formulation of the problem, (finding a suitable method for its solution), acquiring real data, and solving the problem with a practical recommendation based on the computed solution. The focus of the student is supported by electing at least two compulsory elective subjects of this specialization, where the student acquires deep theoretical knowledge of mathematical theories and methods (topology, differential geometry, global analysis, geometric mechanics, variational equations, stochastic algorithms) of the given areas, and the ability to use the modern methods and means of mathematics to solve real problems. Ad 2) The study in the specialization “Analytical Methods in Number Theory” of the PhD study field Applied Mathematics and Fuzzy Modelling focuses on one of the following areas: Irrationality of infinite series Diophantine approximations Densities and measures of sets of positive integers or real numbers Characteristics of distribution of number sets and sequences The study in this specialization is mostly theoretical, nevertheless it involves also applications, namely: applications of uniformly distributed sequences, construction of low discrepancy sequences and their applications, Monte Carlo and Quasi Monte-Carlo methods in mathematics, physics, economics. The focus of the student is supported by electing at least two compulsory elective subjects of this specialization: Diophantine approximations Uniformly distributed sequences Prime number theory Monte Carlo and Quasi-Monte Carlo Methods and their applications Selected topics in Number Theory The students will acquire deep theoretical knowledge of mathematical theories and methods of the given areas, and the ability to use the modern methods and means of mathematics to solve real problems. They will be prepared for their scientific research work as well as for further pedagogical work. Ad 3) The study in the specialization “Fuzzy Modelling” of the PhD study field Applied Mathematics and Fuzzy Modelling focuses on one of the following areas: Algebraic structures of truth-values (residuated lattices, MTL-, BL-, MV-algebras, etc.). Fuzzy logics. Fuzzy modelling. Time series analysis. Data analysis. Nature-inspired methods (evolutionary algorithms, swarm intelligence, etc.), A substantial part of the study is devoted to practical development of the methods mentioned above and their applications, especially in the following fields of activities: Data processing (data mining, time series analysis and forecasting, image processing, etc.). Control and decision making based on expert knowledge. Artificial intelligence and common sense reasoning. Admissions procedure The admissions procedure involves the selection of suitable applicants. The admissions board considers the following documents provided by the applicant: an officially recognized diploma proving the applicant's higher education (a Master's degree or equivalent) – see below, a copy of the Diploma Supplement (or another list of completed courses in the framework of the Bachelor's or Master's studies, confirmed by the university), a Curriculum Vitae, a list of publications, a copy of thesis written for a Master's degree (on a CD), a covering letter (in English) specifying the applicant's area of interest and identifying the prospective advisor, two letters of recommendation (by university lecturers or researchers). The documents must be delivered to the Department for Research and Doctoral Studies no later than a day before the meeting of the admissions board. [-]