PHDDoctoral School of Applied Informatics and Applied Mathematics [Engineering Science]
| Study location | Hungary, Budapest |
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| Type | Doctoral, full degree studies |
| Nominal duration | 8 semesters (240 ECTS) |
| Study language | English |
| Awards | PHD |
| Course code | Engineering Science |
| Entry qualification | Master diploma (or higher) MSc degree in engineering, informatics or mathematics. The entry qualification documents are accepted in the following languages: English. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original entry qualification documents along with you when you finally go to the university. PDF files are preferred. |
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| Territory requirements | Applications are accepted from the following territories (based on citizenship): Albania, Algeria, Angola, Argentina, Armenia, Azerbaijan, Bangladesh, Belarus, Belize, Bolivia, Bosnia & Herzegovina, Botswana, Brazil, Burundi, Cambodia, Cape Verde, Chad, Chile, China, Colombia, Congo - Kinshasa, Costa Rica, Cuba, Dominican Republic, Ecuador, Egypt, El Salvador, Eritrea, Ethiopia, Georgia, Ghana, Honduras, India, Indonesia, Iran, Iraq, Israel, Japan, Jordan, Kazakhstan, Kenya, Kosovo, Kuwait, Kyrgyzstan, Laos, Lebanon, Liberia, Madagascar, Malaysia, Maldives, Mali, Marshall Islands, Mexico, Moldova, Mongolia, Montenegro, Morocco, Namibia, Nigeria, North Macedonia, Oman, Pakistan, Palestine, Panama, Peru, Philippines, Russia, Rwanda, Serbia, Seychelles, Sierra Leone, Singapore, South Africa, South Korea, Sri Lanka, St Lucia, Sudan, Syria, São Tomé & Príncipe, Taiwan, Tajikistan, Tanzania, Thailand, Tunisia, Turkmenistan, Türkiye, Ukraine, United Arab Emirates, Uruguay, Uzbekistan, Venezuela, Vietnam, Yemen. |
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| Language requirements | English C1 |
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| Other requirements | A motivation letter must be added to your application. The statement of the supervisor must be uploaded. |
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| More information |
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Overview
Program description:
The Doctoral School of Applied Informatics and Applied Mathematics started its activities in 2009. Its aim is to train researchers – mainly with engineering background – who are familiar with the methods and techniques of informatics, computer science and applied mathematics, and can solve real industrial research and development tasks using multi- disciplinary knowledge, communication skills and teamwork experience. The Doctoral School pays a special emphasis on the cyber-physical systems, robotics, computational engineering and modeling and the applied mathematics that supports these areas.
Entry requirements:
An MSc degree in the field of the science relevant to the selected programme. Minimum Language Test Scores 6.5 IELTS/ 79 TOEFL iBT/ 213 TOEFL CBT/ 550 TOEFL PBT/ CAE. Preliminary published research activities.
Entrance exam:
Yes
Type of entrance exam:
Oral
Entrance exam location:
Electronic
Entrance exam description:
The Examination Board for the entrance examination of the PhD program evaluates both the records of the previous studies and the submitted research plan of the applicant.
The following prerequisites must be presented:
- Relevant master’s degree from an accredited institution.
- Certified qualification in spoken and written English language.
- Preliminary published research activities.
Curriculum vitae or resume should be submitted describing education, work experience, research experience, teaching experience, professional affiliations, and publications of the applicant. Research plan should be prepared with the structure below. All points must be answered separately.
1. Title of research work.
2. Title of research topic and name of supervisor as it was announced by the Doctoral School of Applied Informatics and Applied Mathematics, Óbuda University.
3. Key words (3-5).
4. General preliminaries in own research activities (motivation, preliminary research, connections with other research programs, etc.).
5. Preliminaries and outside research connections in the field of the planed doctoral research.
6. Specific research objectives, their relevance and importance, and topicality within the actual branch of science.
7. Specific subtasks of the proposed research (3-5 rows), their interdependence and external connections.
8. Planned research procedures, techniques and methods, demand for and availability of equipment, devices, and toolkits for each subtask.
9. Partial results of the planned research, subtasks relevant to them. The greatest possible delimitation of things and relations to examine and analyze.
10. List of publications on the primary sources which are intended to consider and cite in the course of the planned research for each partial result. This list must be coordinated with the outside research connections tagged under points 5 and 7.
11. Title of minimum 4 subjects and their semester based schedule. In the case of need for additional discussion with subject leaders, answer to this point of the research plan can be postponed.
12. Supervisor’s note.
13. Date.
14. Signature of the supervisor.
15. Signature of the student.
Contact:
Ms Zsuzsanna Bácskai
Doctoral School Coordinator
bacskai.zsuzsanna@uni-obuda.hu
Preparatory year available:
No
Specialisation year available:
No
Minimum number of scholarship holders:
1
Maximum number of scholarship holders:
13
Link:
studyinhungary.hu/institution/obuda-university-86.html
aiamdi.uni-obuda.hu/en/home/
Programme structure
240 credits, at least 5 papers, second language certificate, thesis defence.
A minimum of 4 courses and a maximum of 8 courses, supervisor controlled research
Evalutaion:
activity, research report at each semester, publication activity, complex exam at the end of the 4th semester.
During the PhD program the Board evaluates the grades of the studied courses, the progress in the research activity and the quality of the scientific publications (if any).
For courses, exams with a 5 grade (1-5) evaluation, for research reports, research activity and publication according to regulations.
Career opportunities
Although PhD degree represents specialized qualification, Doctoral School of Applied Informatics and Applied Mathematics has modern program in which research for PhD inherently delivers wide range of transferrable skills increasing career opportunities of its PhD degree holders. This Doctoral School is active in flagship areas of emerging applied informatics and mathematics contributing to intellectual property and serving high-level and really actual smart industrial applications.
Real world problem inspired focus PhD research areas in the doctoral program are
cyber physical systems,
cyber medical solutions,
models for human physiological and pathophysiological controls,
biomedical experiment planning and evaluation,
medical image processing for diagnostic purposes
robot modeling and control in cloud,
adaptive control of nonlinear computational engineering systems
computational intelligence as applied at smart industrial solutions,
cloud organized model systems for whole innovation and life cycle of system based smart industrial products,
flexible and function driven representations of organic shapes for additive manufacturing, and
industry inspired mathematical solutions.
New virtual laboratory system is available at the Doctoral School for wide range of PhD research in the cloud of Dassault Systémes based on flagship applied informatics and applied mathematics research intensive engineering modeling platform. Among others, this laboratory helps to fulfill new strong demand for research in industrial engineering of smart products. According to our experience, holders of PhD degree can easily find position and career in institutional and industrial research, higher education, research project managing, and high-level company practice. Our PhD students are encouraged for frequent publication of research results in important conferences and scientific journals. In this way, students learn all stages of process from the first idea to publishing. Doctoral School assists at publishing conference and journal papers and articles which are globally accessed in recognized digital libraries extending personal portfolio of PhD students and opening new career opportunities.