phd mathematics salary in dubai

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PhD in Mathematics

The PhD in Mathematics (PhD MATH) builds on Khalifa University’s internationally leading research activity in science, engineering, and medicine. It supports the University’s alignment with the Abu Dhabi Economic Vision 2030 plan through the provision of internationally excellent education and student experience in Mathematics, producing highly skilled science professionals capable of transferring state-of-the-art technologies to priority sectors of industry, business and government. The aim of the PhD in Mathematics program is to produce graduates who are able to conduct independent research in Mathematics at the highest levels of originality and quality. The degree will be awarded to students who demonstrate a range of advanced knowledge and skills at the forefront of Mathematics and who complete an independent investigation of a novel specialist topic in order to present a dissertation addressing a problem in cutting edge research. Candidates for the degree will be supervised by teams of experienced researchers.

The objectives of the PhD in Mathematics program are to produce graduates who have the ability to:

• Synthesize and critically evaluate complex current knowledge in the Mathematical sciences in order to plan and implement new and creative approaches so as to generate new knowledge and solve research challenges with effective dissemination of the results to a variety of audiences;
• Work to the highest professional and ethical standards in an area of Mathematical sciences and develop their individual academic, professional and career skills; and
• Keep abreast of the latest developments in Mathematics that contribute to the advancement of knowledge for the benefit of society.

Upon successful completion of the PhD in Mathematics, a graduate will be able to:

• Demonstrate and critically analyse comprehensive, deep and overarching knowledge that is at the frontier of recent developments in Mathematical sciences.
• Conduct and defend original independent research that creates significant new knowledge in Mathematical sciences of publishable quality that leads to scholarly articles or other intellectual outputs.
• Analyse and critically evaluate the uses and limitations of diverse methodologies and techniques for solving problems in Mathematical research, leading to informed and valid judgements.
• Select and deploy advanced experimental and related skills to investigate and solve complex problems in Mathematical research.
• Communicate effectively and professionally, in written and oral forms as appropriate, the major tenets of areas of Mathematics and their individual specializations to a variety of audiences.
• Demonstrate a commitment to safe, responsible and ethical behaviour in all research and professional activities.
• Reflect upon their role(s) in their research specialization and in the wider research community to ensure that they take responsibility for their own development and that of peer groups and networks.

The structure and requirements for the PhD in Earth Sciences program for candidates with a Master’s degree and those with only a Bachelor’s degree are detailed below.

Overall Program Structure

The PhD in Mathematics consists of a minimum 60 credit hours, distributed as follows: 24 credit hours of coursework, 36 credit hours of PhD Dissertation and two zero credit PhD Seminar courses. The components of the program are summarized in the table below:

Program Requirements

Students seeking the degree of PhD in Mathematics must successfully complete a minimum 60 credit hours as specified in the program requirements detailed below, with a minimum CGPA of 3.0. Course selection should be made in consultation with the student’s Main Advisor.

Program Core (3 credit hours)

Students must complete the following core courses:

• SCIE 701 Research Methods Science
• SCIE 702 Research Seminar I (0 credits)
• SCIE 703 Research Seminar II (0 credits)

Program Electives (21 credit hours)

Students must complete a total of seven elective courses (21 credits). Program electives are listed below:

• MATH 701 Combinatorial Analysis
• MATH 702 Functional Analysis.
• MATH 703 Finance and Stochastic Calculus
• MATH 704 Matrix Computation
• MATH 705 Mechanics of interacting particle
• MATH 706 Modern Statistical Prediction and Data Mining
• MATH 707 Nonlinear Optimization.
• MATH 708 Partial Differential Equations
• MATH 709 Probability and Stochastic Processes
• MATH 710 Selected topics in group theory
• MATH 711 Selected topics in high dimensional statistics
• MATH 717 Methods of Mathematical Physics
• MATH 777 Mathematical Models for Biology & Epidemiology
• MATH 787 Mathematical Imaging

Subject to approval of the Main Advisor and the Program Coordinator, up to two electives (6 credits) may be taken from outside the student’s department and chosen from the list below, if these courses support the student’s dissertation topic.

SCIE 799 PhD Research Dissertation (36 credit hours)

Students must complete a Dissertation that involves creative, research-oriented work within the field of mathematics, under direct supervision of a full-time faculty advisor from the Mathematics Department, and at least one other full-time faculty who acts as a co-advisor. The outcome of research should demonstrate the synthesis of information into knowledge in a form that may be used by others. The research findings must be documented in a formal dissertation and defended successfully in a viva voce examination.

A typical study plan for students enrolled in the PhD in Mathematics is shown below.

PHD IN MATHEMATICS

Students with only a Bachelor’s degree must enroll on full-time basis. The PhD in Mathematics consists of a minimum 72 credit hours, distributed as follows: 36 credit hours of coursework, 36 credit hours of PhD Dissertation and two zero credit PhD Seminar courses. The components of the program are summarized in the table below:

All the courses that the students will take are at PhD level. The students will only be able to attempt SCIE 795 PhD Written Qualifying Exam (WQE) after successfully completing a minimum of 27 credits of formal coursework.

Typical Study Plan

All courses in the study plan are 3 credit hours each. PhD Research Seminar I & II are zero credit each.

Core and Technical Elective Courses

Students on the PhD MATH program with direct BSc to PhD admission must complete the courses as indicated below. All the courses are 3 credits each.

Program Cores (12 credit hours)

Students must complete a total of 3 core courses (9 credits) that are listed below:

Program Electives (24 credit hours)

Students must also complete a total of eight elective courses (24 credits). Program electives are listed below:

Subject to approval of the Main Advisor and the Program Coordinator, up to three electives (9 credits) may be taken from outside the student’s department, if these PhD courses support the student’s dissertation topic.

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PhD Mathematical and Computer Sciences

Heriot-Watt University Dubai Campus

+971 4 571 7000

[email protected]

The School of Mathematical and Computer Sciences welcomes PhD applications in Computer Science by Research on the Dubai campus.

Applicants with an interest in the broad area of computing are encouraged to apply.

The School in Dubai offers a unique opportunity to conduct outstanding research in the areas of Artificial Intelligence, Data Science and Information Security.  We foster a multidisciplinary research culture in collaboration with the Edinburgh Campus and are looking to strengthen mutually beneficial links with industry and government partners in the UAE. 

Accreditation

Read more about the UAE Federal Accreditation .

Entry requirements

Fees and funding.

PhD study on the Dubai Campus will enable students to work with staff and students in Dubai in collaboration with a research group in Edinburgh performing high value and fundamental research in Computer Science. Industry-based applied research can also be pursued if the right circumstances are available.

Students will be working under the supervision of an expert academic supervisor based at the Dubai campus and supported by a second supervisor in Edinburgh, with the option of having a third supervisor if needed. In addition to time spent doing research project work, students will review scientific literature and participate in research group discussions and meetings. Students will also be expected to publish their work in high impact journals.

On completion of the research project, students spend some six months 'writing up' to produce a final PhD. Once the thesis has been submitted, internal and external academics will examine the student’s work and knowledge of the PhD subject. 

Research topics for PhD supervision

Research areas and topics of interest may include (but are not limited to):

Data Science

• Predictive Analytics and Big Data Analytics
• Semantic Technologies
• Visualization and Software Engineering
• Mathematical and Event-Based Modeling
• Applications in Smart Cities, Healthcare, Finance, Logistics,  Energy and Construction

Artificial Intelligence

• Machine Learning/Deep learning/Trust-based AI
• Natural Language Processing and Text Analytics
• Parallel and Evolutionary Computing
• Multimedia, Medical Imaging and Computer Vision
• Applications in Healthcare, Robotics, Sentiment Analysis, Social Profiling and Education

Information Security

• Malware Detection using Machine Learning
• Access Control Systems
• P2P Security
• Forensics and Cybersecurity

PhD topics in Mathematical Sciences will also be considered. In particular, topics related to Actuarial Science, Mathematical Modelling, Model Checking, Quantitative Risk Management, Islamic Finance and Takaful are welcomed.

Applications may include different areas in Finance, Insurance and Stock Market prediction.

Research proposal

The research proposal (normally three to four pages) should contain as much as possible of the following:

• Introduction or outline of the proposed topic
• Statement of objective(s) and/or specific research questions
• Summary of some of the relevant literature that supports the research objective(s)
• An indication of the intended research methodology
• An indication of the theoretical structure and/or conceptual outline
• A provisional timetable of the major phases of the research process
• Results expected from the research, e.g., practical value of the research or possible contributions to knowledge, policy or methodology. At this stage we are not looking for a definitive document but merely an indication that you have thought through most of the above issues. Please note that work submitted may be subject to screening using plagiarism software.
• Interested applicants should complete the online application form, making clear on the form that you are applying to study at the Dubai Campus.
• If you have any questions about the application process, contact Dr. Neamat El Gayar ( [email protected] ) Associate Director of Research. 

Supporting documents

Applicants interested in our PhD opportunities need to submit the following:

• Copies of full academic transcripts from all previous academic degree courses and copies of certificates for degrees already awarded.
• Confirmation of funding source and/or confirmation of sponsorship/sufficient funds to pursue studies.
• A detailed research proposal.

English language requirements

Where English was not the medium of instruction during previous education, applicants must demonstrate English language proficiency equivalent to IELTS 6.5. Other qualifications may also be considered.

• AED 95670 per year*

* All tuition fees inclusive of VAT

Scholarships and bursaries

See our range of degree entry, undergraduate, postgraduate taught and PhD scholarships and discounts .