Doctorate Degrees in Computer Science

Compare 36 PhD Programs in Computer Science

Computer Science

Computer Science refers to the understanding and design of computers and computational sciences. It requires both abstract and concrete thinking in order to apply theory and practice to computing. There are many programs all over the world offering PhD in Computer Science programs.

Depending on the university, curriculum for a PhD in Computer Science varies. Some programs are only research based and some require coursework. Topics of study for a PhD in Computer Science may include information security, database systems, compilers, software engineering, and computational theory. For a PhD in Computer Science, research is usually conducted closely with faculty while candidates work towards completing their dissertation. PhD in Computer Science programs prepare candidates for work in universities, research institutions, or other private or public agencies.

If you are interested in advancing in a growing field, then a PhD in Computer Science may be the degree you are looking for. Take a look through the options below!

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PhD in Computing and Information Sciences

Rochester Institute of Technology (RIT)
Campus Full time 3 years September 2017 USA Rochester

The doctoral program in computing and information sciences is designed to produce independent scholars, well-prepared educators, and cutting-edge researchers poised to excel in their work in computing and interdisciplinary academic or industrial environments. [+]

PhDs in Computer Science. The doctoral program in computing and information sciences is designed to produce independent scholars, well-prepared educators, and cutting-edge researchers poised to excel in their work in computing and interdisciplinary academic or industrial environments. The degree highlights two of the most unique characteristics of the Golisano College: its breadth of program offerings and its scholarly focus on discovering solutions to real-world problems by balancing theory and practice.The program focuses on the theoretical and practical aspects of cyberinfrastructure as applied to specific problems across multiple domains. It is a blend of intra-disciplinary computing knowledge areas and inter-disciplinary domain areas. Cyberinfrastructure Cyberinfrastructure (CI) is a comprehensive infrastructure integrating hardware, data, networks, and digitally-enabled sensors to provide secure, efficient, reliable, accessible, usable, and interoperable suites of software and middleware services and tools. Our doctorate program plays a leadership role in CI research by providing human-centered tools for the science and engineering communities. These tools and services focus on such areas as high performance computing, data analysis and visualization, cyber-services and virtual environments, and learning and knowledge management. ... [-]

PhD in Computer Science

University of Nicosia
Campus Full time Part time 3 years September 2017 Cyprus Nicosia Greece Athens + 3 more

The Ph.D. in Computer Science, in line with the general philosophy of Doctoral Degrees, provides the student with the most advanced knowledge of Computer Science and Information Technologies and Communications. [+]

Duration (years): 3 Qualification Awarded: Computer Science (PhD, 3 years) Level of Qualification: 3rd Cycle (Doctorate) Language of Instruction: The research and the writing up of the Ph.D. Thesis can be either in English or in Greek (the language is subject to the approval of the Supervising Team). Mode of Study: Full time/ Part time Minimum Credits: 90 Minimum ECTS Credits: 180 Profile of the Programme: The Ph.D. in Computer Science, in line with the general philosophy of Doctoral Degrees, provides the student with: the most advanced knowledge of Computer Science and Information Technologies and Communications the most advanced and specialised skills and techniques, required to solve critical problems in research and/or innovation and to extend and redefine existing knowledge or professional practice in the broad area of Computer Science competencies related to substantial authority, innovation, autonomy, scholarly and professional integrity Graduation Requirements The Ph.D. programme requires the completion of 180 ECTS out of which, 60 ECTS are allocated to the preparation of the research proposal, 90 ECTS are allocated to the research and writing up of the writing up of the Thesis and 30 ECTS for the defence of the Thesis. The minimum number of years for completing the Ph.D. is three (3) and the maximum number of years is eight (8). Learning Outcomes Ph.D. holders in Computer Science will: have deep understanding of the field and exhibit advanced skills and methods of research associated with the field be able to conceive, design, implement and adapt a substantial process of research have made a contribution through original research that extends the frontier of knowledge by developing a substantial body of work, some of which merits national or international refereed publication be capable of critical analysis, evaluation and synthesis of new and complex ideas be able to promote, within academic and professional contexts, technological, social or cultural advancement in a knowledge based society be able to work in Universities, Institutes of Higher Education and Research centers and organizations [-]

Doctor of Philosophy in Science

Macau University of Science and Technology (MUST)
Campus Full time 5 years November 2017 Macau

Our curricula are based on a solid foundation with a balanced coverage of theory and practice, and undergo frequent update to keep the content current. we have also been gradually increasing the use of English as the medium of instruction. Our mission is to train students to become IT professionals who are hardworking, responsible, and good team players, with the skills and capabilities to contribute to the development of our local and regional societies, and to be able to survive in the increasingly competitive global market. At FIT, students will not only gain knowledge but more importantly understand the principles and importance of life-long learning. [+]

PhDs in Computer Science. Doctor of Philosophy in Science Computer Technology and Application This major provides training for students to become high-level researchers in the area of computer technology and application. We provide high-quality courses in selected topics in computer technology, training students to master the research methods in computer technology. This major will solidate their foundation for conducting research in field of computer technology. Graduates should propose innovative ideas or publish innovative research results on a specialized topic. Electronic Information Technology This major provides training for students to become high-level researchers in the area of electronic information technology. We provide high-quality courses in selected topics in electronic information technology, training students to master the research methods in electronic information technology. This major will solidate their foundation for conducting research in the field of electronic information technology.Graduates should propose innovative ideas or publish innovative research results on a specialized topic. Space Information Technology Space information technology is a multidisciplinary major of information technology and space science. This major provides training for students to become high-level researchers in the area of space information technology. We provide high-quality courses in selected topics in information technology and space science, training students to master the research methods for analyzing of space science data. This major will solidate their foundation for conducting research in the field of space information technology.Graduates should propose innovative ideas or publish innovative research results on a specialized topic. For Curriculum details, please refer to: http://www.must.edu.mo/en/fi-en/programme/doctoral-degree-programme/study-plan [-]

PhD in Informatics and Computing

Northern Arizona University
Campus Full time 5 years August 2017 USA Flagstaff

The PhD INF program prepares graduate students to work in the transformative "fourth paradigm" of science and engineering, an interdisciplinary field relying on Big Data and advanced software, hardware, and statistics skills. [+]

The PhD INF program prepares graduate students to work in the transformative "fourth paradigm" of science and engineering, an interdisciplinary field relying on Big Data and advanced software, hardware, and statistics skills. After a streamlined five-year plan of study, graduates will be ready to be leaders in industry and government research labs, faculty and research scientists in academia, and entrepreneurs in cutting-edge informatics application areas. Graduates will make contributions to exciting projects that address critical areas of national need in bioinformatics, population health, environmental sustainability, ecology, software engineering, wearable computing, cyber-physical systems, and cybersecurity. Students' research and education are strengthened through broad collaborations with a variety of academic, government, and private entities. We accept students from broad formal educational backgrounds such as biology, ecology, computer science, electrical engineering, and statistics, however all students must possess sufficient mastery of key foundational areas in order to meaningfully engage in and contribute to original research. These areas include programming, data structures, software development methods, and statistics. Program faculty may require that students admitted into the program correct any deficiencies in these areas by enrolling in additional undergraduate or graduate courses. Available Emphasis Areas: Bioengineering Informatics - Emphasis Cyber and Software Systems - Emphasis Ecological and Environmental Informatics - Emphasis Health and Bioinformatics - Emphasis The doctoral degree in Informatics and Computing enables students to engage in a research-intensive course of study within a broad range of informatics and computing areas, including population health, bioinformatics, remote sensing, ecological modeling wireless sensor and communication systems, cyber-physical systems, software architecture and visualization, computer graphics, model-driven design, machine learning, wearable computing, and cybersecurity. Our five-year degree program is strengthened by committed mentorship and professional development training, with students benefiting from a broad range of collaborations and partnerships, including but not limited to: Center for Bioengineering Innovation, Center for Microbial Genetics and Genomics, Center for Ecosystem Science and Society, Merriam-Powell Center for Environmental Research, Department of Biological Sciences, Department of Physics and Astronomy, School of Earth Sciences and Environmental Sustainability, and School of Forestry. Regional research collaborators include but are not limited to: Translational Genomics Research Institute, Northern Arizona Healthcare and Flagstaff Medical Center, North Country HealthCare, U.S. Geological Survey, and Northern Arizona Planetary Science Alliance. What Can I Do with a Doctor of Philosophy in Informatics and Computing? The Ph.D. program in Informatics and Computing prepares graduates for meaningful and fulfilling careers in the application of informatics and computing to critical areas of national need. We aim to prepare students to be leaders in industry and government research labs, faculty and research scientists in academia, or entrepreneurs in cutting-edge informatics application areas. University Requirements To receive a Doctor of Philosophy Degree (Ph.D.) at Northern Arizona University, you must complete a planned group of courses, from one or more disciplines, ranging from at least 60-109 units of graduate-level courses. Most plans require research, a dissertation, and comprehensive exams. All plans have residency requirements regarding time spent on the Flagstaff campus engaged in full-time study. In addition to University Requirements: Complete individual plan requirements. ADDITIONAL ADMISSION REQUIREMENTS Admission requirements over and above admission to NAU are required. NAU Graduate Online application is required for all programs. Details on admission requirements are included in the online application. Undergraduate degree from a regionally accredited institution Grade Point Average (GPA) of 3.00 (scale is 4.00 = "A"), or the equivalent. Admission to many graduate programs is on a competitive basis, and programs may have higher standards than those established by the Graduate College. Transcripts For details on graduate admission policies, please visit the Graduate Admissions Policy International applicants have additional admission requirements. Please see the International Graduate Admissions Policy Individual program admission requirements include: GRE® revised General Test 3 letters of recommendation Personal statement or essay Resume or Curriculum Vitae Expertise in key foundational areas in informatics, including core topics such as programming, data structures, software development methods, and statistics, as well as areas that support specific emphases, such as biology, ecology, and cyber systems. Student Learning Outcomes Graduates of this training program will demonstrate the following advanced competencies and program learning outcomes (PLOs): PLO1: Identify, explain, and assess the major theories, research methods, and technical approaches driving informatics- driven science and engineering and the impact of these elements on society. PLO2: Identify, explain, synthesize, and apply the fundamental concepts of informatics, including large-scale data representation and organization, various types of programming languages, software development methods, data processing, information extraction and machine learning, and statistical analysis. PLO3: Identify, explain, synthesize, and apply the interdisciplinary combination of core informatics and in-depth disciplinary expertise defining one of the following emphasis areas: Health and Bioinformatics, focusing genetic and genomic analysis, population health, and disease transmission; Ecological and Environmental Informatics, focusing on ecological and environmental analyses and remote sensing; Cyber and Software Systems, focusing on the design and implementation of cyber-physical and large-scale software systems. Bioengineering Informatics, focusing on data analysis and control in bioengineering applications. PLO4: Identify, survey, analyze, organize, and critically distill information from the scientific literature within an informatics emphasis area and creatively identify open research questions. PLO5: Independently apply appropriate expertise, methods, and tools to the creative design, execution, and assessment of an investigation that addresses original informatics research questions. PLO6: Compose and engage in highly effective written and oral communication in informatics areas; demonstrate clear argumentation and logical cohesion in a variety of written and oral communications, including scholarly dissemination, funding requests, industry, and lay-communication. [-]

Doctor of Philosophy (PhD) in Computer Science

College of Engineering and Mathematical Sciences
Campus Full time September 2017 USA Burlington

The PhD in Computer Science program is administered by the Graduate College. The Department of Computer Science has set up the policies and requirements for its PhD program on the basis of the policies and requirements of all PhD programs administered by the Graduate College. This document should answer most of the common questions about the PhD in Computer Science Program. However, all readers are encouraged to... [+]

PhDs in Computer Science. Doctor of Philosophy (PhD) in Computer Science The PhD in Computer Science program is administered by the Graduate College. The Department of Computer Science has set up the policies and requirements for its PhD program on the basis of the policies and requirements of all PhD programs administered by the Graduate College. This document should answer most of the common questions about the PhD in Computer Science Program. However, all readers are encouraged to consult with the Graduate Committee of the Computer Science Department as well as the Graduate College for further information. Uniqueness of Our PhD Program Doctoral programs are fundamentally different from Bachelor's or Master's degree programs. Like other programs, doctoral students gain a base level of knowledge through course work. The difference, however, comes with research. Whereas a Bachelor's or Master's student may undertake a research project, it merely provides a complement to the course work and is clearly guided by a faculty advisor. Doctoral research is the focus of a doctoral student's studies. Doctoral research is much more self-guided and exploratory than research done in the other programs. Future employers typically select doctoral students on the quality and originality of their thesis research, not their grades in course work. Reflecting this focus, the bulk of time and effort during a student's doctoral studies is spent on thesis research. In the last thirty-plus years, computer science has developed into a rich academic discipline. But computers and computation also play a key role in many research disciplines, including (but not limited to) engineering, biology, mathematics, physics, chemistry, economics and education. Against such a backdrop, our interdisciplinary PhD program produces Computer Science professionals capable of teaching and performing original research at the university level as well as in industrial or other professional settings. The interdisciplinary PhD program in Computer Science offers study in both traditional and cross-disciplinary areas such as bioinformatics and ecological modeling. Our faculty in Computer Science are involved in the forefront of research in data mining, distributed systems, and evolutionary & agent-based computing. Our interdisciplinary work cuts across all areas of campus, with current emphasis in bioinformatics, computational imaging, computational engineering, and ecological modeling. Our faculty publish in prestigious journals and conferences in Computer Science, have significant research grants from federal agencies (such as NSF, NIH, DOE, and DOD), and serve on editorial boards, conference committees, National Science Foundation review panels, and leading professional societies. Doctoral students are expected to include courses from beyond the traditional realm of computer science. Students are encouraged to consider research topics that combine computer science with other disciplines. The Department has a broad range of secondary faculty appointments with primary interests in other fields who may be used as a student's thesis advisor. Minimum Requirements for Admission into the PhD Program A Bachelor's degree and satisfactory scores on the Graduate Record Examination (GRE) general section are required of all applicants. Applicants will be evaluated based on their potential for excellence in research, as judged from their academic background, test scores, relevant experience and letters of recommendation. We admit students who we believe are most likely to succeed and thrive in the program. See the next section for complete application packet requirements and deadlines. Applicants whose native language is not English or whose formal education has been conducted in a language other than English must have a Test of English as a Second Language (TOEFL) score of 550 (or 213 with computer-based test or 90 with Internet-based test) or above. To be considered for financial assistantship from the University, applicants must have a TOEFL score of 600 (or 250 with computer-based test or 100 with Internet-base test) or above. Applicants who have strong academic records in a different discipline and lack an acceptable computer science background (normally including at least courses in Data Structures, Computer Organization, and Programming Languages) may be accepted provisionally. Provisionally accepted students will be required to complete an approved program of remedial work within their first year of study. Applying to the PhD Program A student interested in a PhD degree in Computer Science must submit a complete application packet including: the application form complete collegiate transcripts statement of purpose and experience (available as part of the packet) three reference letters Graduate Record Exam (GRE) general scores Test of English as a Second Language (TOEFL) score if your native language is not English or if your formal education has been conducted in a language other than English. [-]

Doctoral Programme in Informatics MAP-i

University of Minho - School of Engineering
Campus Full time 3 - 4 years October 2017 Portugal Guimarães

The MAP Doctoral Program in Computer Science consists of a first curricular year starting in the fall and divided into two semesters. The first semester features four courses chosen in the areas foundations of computing, programming paradigms and information technologies and a seminar on research methodologies which includes working visits to MAP associated research centers and laboratories. In the second semester, the students are offered a number of optional courses taught by professors from MAP universities and leading scientists from abroad. The graduate students are expected to take some credits in matters not directly related to their field of study. [+]

Doctoral Programme in Informatics MAP-i The MAP Doctoral Program in Computer Science consists of a first curricular year starting in the fall and divided into two semesters. The first semester features four courses chosen in the areas foundations of computing, programming paradigms and information technologies and a seminar on research methodologies which includes working visits to MAP associated research centers and laboratories. In the second semester, the students are offered a number of optional courses taught by professors from MAP universities and leading scientists from abroad. The graduate students are expected to take some credits in matters not directly related to their field of study. In the first year, the student must choose his topic of dissertation from a list of possible research projects. Based on this choice, the student must prepare his thesis proposal, during the second semester, which includes an extensive review of the state of the art, a set of detailed objectives and methods, outline of potential contributions and a road map to achieve them. The thesis proposal is discussed with a jury in the end of the first year. Following this curricular year, which is worth 60 credits in the European Credit Transfer System (ECTS), the graduate student enters the research and thesis development phase, which lasts for 2 to 3 years and corresponds to at least 120 credits. Students may choose to follow the program as full-time students or, if they are working in a company or in a research project, may prefer to enroll as part-time students in 30 credits per year, paying 60% of the fees. In terms of organization, the MAP universities agreed upon a general model, in which the curricular part is taught entirely in one of the institutions, rotating every year between Minho, Aveiro and Porto. Each student receives individual guidance by a mentor, until he gets a supervisor. After the first year, the student moves to the university and research group of the supervisor. Beyond the regular thesis supervision, the student's progress will be monitored by a PhD committee consisting of two other recognized experts in the field, one of which from an outside institution. Submission of the thesis and thesis defense follow standard international practice. A student will be awarded a doctorate, in the form of a joint PhD degree by the Universities of Minho, Aveiro and Porto, if his thesis is judged to represent an original contribution to knowledge in the chosen area. [-]

Doctor of Philosophy in Computer Engineering (Ph.D.)

The George Washington University - School of Engineering & Applied Science
Campus Full time 4 - 6 years September 2017 USA District of Columbia

The doctoral program in computer engineering is designed to involve students in cutting-edge research in the areas of computer architecture and high-performance computing, or microelectronics and VLSI systems. The research interests of the faculty in the computer architecture and high-performance computing area span computer architecture, parallel processing, cloud computing, and high-performance and grid computing. [+]

PhDs in Computer Science. Program Overview The doctoral program in computer engineering is designed to involve students in cutting-edge research in the areas of computer architecture and high-performance computing, or microelectronics and VLSI systems. The research interests of the faculty in the computer architecture and high-performance computing area span computer architecture, parallel processing, cloud computing, and high-performance and grid computing. In the microelectronics and VLSI design area, the faculty's interests include the design and modeling of electronic and nanoelectronic devices and systems, microfluidic devices integrated with electronic devices, the design of MicroElectroMechanical Systems (MEMS) for sensors and for RF-MEMS devices, micro and nanoelectronic circuits with applications to sensors and biosensors, and techniques to develop CMOS Integrated sensors and their interface circuits using analog and digital circuits. Offered through the Department of Electrical and Computer Engineering, the Ph.D. in Computer Engineering prepares students to learn and apply sophisticated computer architecture and integrated circuit design techniques using industry-standard computer-aided design tools. Faculty and students work together to explore solutions for photonic computing; create state-of-the-art advances in high-performance computing; and improve the reliability of cloud computing. The program offers up-to-date knowledge and skills in the advances of computer systems architecture and networking, as well as the rapidly-growing use of superscalar microprocessors, real-time embedded systems, VLSI and ASIC design modules, digital signal processors, and networked computing platforms. The program offers a flexible schedule that includes courses in the late afternoon and evening, as well as the ability to choose a thesis or non-thesis degree option. Students choose from two areas of focus: Computer architecture and high-performance computing MEMS, electronics, and photonics (microelectronics and VLSI systems) Doctor of Philosophy in Computer Engineering (Ph.D.) Credit hours (for those with a master's degree): 30 Credit hours (for those without a master's degree): 54 Duration: 4-6 years Other requirements: ​Scholarship requirement: Doctoral students in the Computer Engineering program must have a minimum GPA of 3.4 at the time of graduation. Students must have a B or higher in all courses to count toward the degree. Seminar requirement: All doctoral students must present one departmental seminar, excluding the dissertation defense, prior to graduation. Colloquium requirement: All doctoral students must attend five seminars, workshops, or symposia sponsored by the department in order to fulfill this zero-credit requirement. Areas of focus Computer Architecture and High-Performance Computing Faculty in this area are involved in research on topics such as computer architecture, parallel processing, cloud computing, and high-performance and grid computing. MEMS, Electronics, and Photonics Faculty in this area are involved in research on topics such as the design and modeling of electronic and nanoelectronic devices and systems, microfluidic devices integrated with electronic devices, the design of MicroElectroMechanical Systems (MEMS) for sensors and for RF-MEMS devices, micro and nanoelectronic circuits with applications to sensors and biosensors, and techniques to develop CMOS Integrated sensors and their interface circuits using analog and digital circuits. Ph.D. Admissions Requirements Applicants must submit the following materials in order to be considered for admission into a master's program at SEAS. All materials except test scores must be uploaded to the online application form: Online Application Transcripts Scanned copies of unofficial transcripts are required from all colleges and universities attended, whether or not credit was earned; the program was not completed; or the credit appears as transfer credit on another transcript. Please ensure that all transcripts are properly scanned and attached to the online application form. Otherwise, applicants will receive notifications requesting legible transcripts, which may delay review of their application. Please do not mail official transcripts unless you are instructed to do so by a SEAS admissions officer. Admissions decisions are based on unofficial transcripts. For international applicants, please see additional requirements for attaching foreign transcripts to the online application. GRE scores The Graduate Records Examination (GRE) is required of all applicants, except for those applying for a Combined Five-Year Program. GRE scores must be sent to institution code 5246 through the Educational Testing Service (ETS). There is no minimum score required on the GRE for admission. However, applicants are encouraged to score within the 90th percentile of the Quantitative section of the exam in order to be considered competitive. To see average GRE scores from the most recent incoming class, visit the Graduate Student Profile. English proficiency exam scores (international applicants) International applicants who did not receive a degree from an institution situated in the United States or English-speaking country must also submit scores from the TOEFL, IELTS, or PTE Academic exams. Please view the International Admissions section for information on English language exam score requirements and sending scores to GW. Letters of Recommendation A minimum of three (3) letters of recommendation is required to be submitted with the online application form. At least one recommendation should be from an advisor and/or faculty member(s) at the institution from which you earned your highest degree. Statement of Purpose Applicants must include an essay of 400-600 words that clearly states their purpose in undertaking graduate study at the George Washington University; explains their academic objectives, research interests, and career plans; and discusses related qualifications including collegiate, professional, and community activities, as well as any other substantial accomplishments not already mentioned. It is strongly encouraged that essays stay within the 600 word limit. While applicants are not penalized for submitting longer essays, concise essays are more effective in demonstrating an applicant's motivation. The Statement of Purpose must be written by the applicant. Any essay found to have been written by anyone other than the applicant, or plagiarized from other published materials, will be withdrawn from consideration. Résumé/CV A current résumé or curriculum vitae (CV) should be uploaded with the online application form. If you have published articles in peer-reviewed publications, please include them as a hyperlink. Ph.D. applicants applicants must also demonstrate the following requirements in order to be considered for admission: A bachelor’s or master’s degree in a relevant area from an accredited institution If the applicant has obtained a master’s, a minimum grade point average of 3.4 (on a scale of 4.0) is required. If the applicant has only obtained a bachelor’s degree, the minimum grade point average must be a 3.3 (on a scale of 4.0). Identified one to three SEAS faculty members whose research interests most closely match their own and note this on the application form. A strong academic or relevant professional background pertinent to the field of study Demonstrated capacity for original research [-]

PhD in Multidimensional Complex Analysis

Siberian Federal University
Campus Full time 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. [+]

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 Applied Informatics

University of Hradec Králové, Faculty of Informatics and Management
Campus Full time 4 years September 2017 Czech Republic Hradec Králové

The graduate of the doctoral study in Applied Informatics is able to design and develop information, communication and knowledge technologies in different industries and businesses. Both are prepared to become research workers. [+]

PhDs in Computer Science. PhD in Applied Informatics The main research topics are information systems design methodologies, advanced techniques in information and knowledge processing, ambient intelligence. The graduate of the doctoral study in Applied Informatics is able to design and develop information, communication and knowledge technologies in different industries and businesses. Both are prepared to become research workers. Entrance Requirements for the Candidate The candidate has to be a Master’s degree graduate specialised in economics or informatics or another closely related field of study. In the field of informatics the candidate is required to design simple database applications, to have good knowledge of CASE tools, principles of programming, basic tools for decision making support, general knowledge of modern information and communication technologies, systems approaches and analysis. Also we demand active command of English and passive knowledge of one other foreign language. Organization The studies follow common Study and Examination Rules of the doctoral study programme. Specific organisational problems, which may occur, are discussed here in greater detail. The study programme is outlined in such a way that students of each of the two mentioned fields of study attend the compulsory common basics consisting of four subjects: selected questions on the theory of economics general systems theory statistical and mathematical methods in management information and knowledge systems The student takes on at least two other subjects in addition to this common basic which are close to the chosen field of his or her studies. Graduation Requirements 180 credits or more oral defence of the doctoral thesis passing the state doctoral exams The duration of the programme: 4 years The tuition fee for one academic year: 4000 EUR. The deadline for submitting applications: 31st March [-]

PhD in Scientific and Technical Calculations

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

The field is related to mathematical modelling namely, it procures a correct problem approximation and numerical solution on a computer. Therefore, computational mathematics has broad practical applications in natural and technological sciences, and also in economics, banking, medicine, etc. [+]

Computational mathematics involves mathematical research in areas of science where computing plays a central and essential role, emphasizing algorithms and numerical methods. The field is related to mathematical modelling namely, it procures a correct problem approximation and numerical solution on a computer. Therefore, computational mathematics has broad practical applications in natural and technological sciences, and also in economics, banking, medicine, etc. The curriculum provides thorough know-how on both numerical and applied mathematics, and also programming skills in computer modelling, simulation and control. Prospective employment: Fundamental and applied research, academic career, industry, economics. Tuition Fee: 6000€ [-]

PDEng in Software Technology (ST)

Eindhoven University of Technology
Campus Full time 2 years October 2017 Netherlands Eindhoven

Welcome to the website of the Software Technology (ST) program. ST offers a two-year post-Master technological PDEng program for MSc graduates with a degree in the field of Computer Science or a related field such as (but not limited to) Business Information Systems, Embedded Systems, Data Science or Information Security. [+]

PhDs in Computer Science. PDEng in Software Technology (ST) Welcome to the website of the Software Technology (ST) program. ST offers a two-year post-Master technological PDEng program for MSc graduates with a degree in the field of Computer Science or a related field such as (but not limited to) Business Information Systems, Embedded Systems, Data Science or Information Security. Like a PhD candidate, you will have the status of TU/e employee after being selected for this program. The Software Technology program is designed to prepare you for an industrial career as a technological designer, and later on as a software or system architect. It starts with 14 months of advanced training and education, including 4 small, industry driven training projects, followed by a major design project of 10 months in a company. The technological PDEng programs lead to a Professional Doctorate in Engineering (PDEng) degree. These programs are given under the banner of 4TU.School for Technological Design, Stan Ackermans Institute, a joint initiative of the four universities of technology in the Netherlands. The ST program is part of the Department of Mathematics and Computer Science of the Eindhoven University of Technology. CCTO Certification This program is recognized as a PDEng program by the CCTO, the Dutch certification institute for technological designer programs. Admission and application Application is open to university graduates from the Netherlands and other countries. You will at least need a Master of Science degree or equivalent, preferably in the exact sciences. There will be an assessment and selection procedure before you can enter the PDEng program. The PDEng programs use strict selection criteria to ensure the required high quality. Excellent marks, motivation and a design-oriented attitude are vitally important. You should also have an excellent command of the English language. Selection You can apply by sending your letter of application with a complete curriculum vitae and at least two letters of recommendation (in English). Suitable candidates will be invited for an interview with the selection committee of the relevant PDEng program. Each PDEng program has different starting dates, as well as its own specific admission requirements and selection procedure. The exact requirements and selection procedure for each program are listed on the program's website. Admission If you are selected for a PDEng program, you are appointed as a trainee for the duration of the program, up to two years. You are a member of the scientific staff and receive a salary in accordance with government regulations. Because you are a trainee, you do not have to pay a tuition fee. [-]

PhD in Software Engineering

Central South University School of Software
Campus Full time September 2017 China Changsha

The objective of the Ph.D. program is to educate highly qualified researchers required for the expansion of fundamental knowledge and technological innovation through research and development. [+]

PhD in Software Engineering The objective of the Ph.D. program is to educate highly qualified researchers required for the expansion of fundamental knowledge and technological innovation through research and development, as well as the needs of institutions of higher learning.The international students can either join the ordinary classes taught in Chinese with Chinese students, or join separate classes taught in English. Major areas for doctoral work are: Mobile Computing and Wireless Networks; Distributed Systems; Computer Networks and Protocols; Parallel Algorithms and Architectures; Ad Hoc Networks; Databases; Semantics Web; Bioinformatics; Software Architecture; Software Measurement; Software Comprehension and Maintenance; Dependable Software. Education Prerequisites Individuals should have a minimum of a bachelor's degree before they apply to become software engineering doctoral students. Potential Career Options A Ph.D. program in software engineering prepares most graduates for careers in academia or research. Some potential career options include: Professor of software engineering Industrial laboratory researcher Software engineer Engineering laboratory director Industrial developer Courses Courses included in a typical Ph.D. program in software engineering cover research methodologies and advanced topics. Some examples include: User interfaced software Secure software systems Advanced computer networks Algorithms Software systems models Software management Software artifact analysis Systems engineering design [-]

Doctoral Programme in Science (Technology)

Aalto University
Campus Full time Part time August 2017 Finland Espoo + 1 more

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. [+]

PhDs in Computer Science. 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 Computer Science & Information Engineering

National Central University
Campus Full time Part time September 2017 Taiwan Taoyuan

We offer cross-disciplinary research opportunities that encourage innovation and collaboration across multiple disciplines, helping students become well-prepared engineers and researchers. [+]

Founded in 1981, the Department of Computer Science and information Engineering at National Central University initially offered a graduate degree only. After offering doctoral degree in 1988 and the undergraduate degree in 1992, the department quickly evolves and sets up a complete curriculum for computer science education and research. The department admits around 100 undergraduates, 100 students to the master program, 30 students to the part-time master program, and 25 students to the doctoral program each year. Our department has one of the most stringent academic programs in Taiwan. 
While placing emphasis on the core knowledge enabling students to apply their skills to many computer science and engineering disciplines, our program requires students participating in practical projects and provides numerous hands-on opportunities in collaborations with industry and government labs. We offer cross-disciplinary research opportunities that encourage innovation and collaboration across multiple disciplines, helping students become well-prepared engineers and researchers. Fundamental Courses & Professional Courses Network Performance Analysis: Queuing Theory Techniques and Algorithms for WWW (Information Systems) Wireless Multimedia System Advanced Data Structures Artificial Intelligence Advanced Algorithms for Distributed Computing Interactive Computer Graphics in Game Designs Information Retrieval and Extraction Intelligent Surveillance Machine Learning Computational Geometry Interactive Technologies for Rehabilitation Requirements for Graduation Required credits : 18 credits Duration of Study : 2~7 years Other requirements : Seminars for 2 semesters. Special Topics in Computer Science for 6 semesters Research Facilities & Lab Artificial Intelligence and Pattern Recognition Lab Computational Intelligence and Human Computer Interaction Lab Distributed System Lab Image Processing and Virtual Reality Lab Mobile and Broadband Networks Lab Software Engineering Lab Admission Documents Autobiography Research Proposal Two Letters of Recommendation TOEFL or Other Evidence of English Proficiency Evidence of Chinese Proficiency Related Academic Publications [-]

MPhil / PhD in Games Computing and Creative Technologies specialisms

University of Bolton
Campus Full time 3 - 7 years August 2017 United Kingdom Bolton

This MPhil/PhD offered by the School of Business and Creative Technologies offers you an opportunity to focus your studies in an area that is of personal or professional relevance to you. You will be supported by a first supervisor, who will offer specialised guidance, and a second supervisor, who will provide a more general overview of your studies. Depending on your qualifications and experience you may register for an MPhil with the option to... [+]

PhDs in Computer Science. Games Computing and Creative Technologies specialisms - MPhil / PhD This MPhil/PhD offered by the School of Business and Creative Technologies offers you an opportunity to focus your studies in an area that is of personal or professional relevance to you. You will be supported by a first supervisor, who will offer specialised guidance, and a second supervisor, who will provide a more general overview of your studies. Depending on your qualifications and experience you may register for an MPhil with the option to progress to a PhD or register for the PhD directly. As well as regular meetings with your supervisors, there will be an annual review of progress by means of a formal submission to the school’s research committee. Subject overview The latest nationwide Research Assessment Exercise (RAE) results, announced in December 2008, resulted in research work conducted at the University of Bolton being assessed as world-leading in terms of originality, significance and rigour. The School of Business and Creative Technologies is developing a multidisciplinary research culture in the disciplines of computer games, computing and IT, and the creative technologies, and is collaborating with industry and other academic partners. Research topics Research activity in the school is vibrant and staff and research students work in a number of areas including machine-mediated communication and HCI, e-learning and e-commerce, relational agents, artificial intelligence, physical character animation modelling, emotioneering and biofeedback, sound engineering and computer game sound. Current large-scale research and enterprise activity within the school includes projects such as virtual research environments, open content and learning, cybersavvy youth and girls and gadgets. [-]