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Nanyang Technological University

Nanyang Technological University (NTU) is a research-intensive university with globally acknowledged strengths in science and engineering. The university has roots that go back to 1955 when Nanyang University was set up. Today, NTU has four colleges with 12 schools, and four autonomous entities, the National Institute of Education, the S Rajaratnam School of International Studies, Earth Observatory of Singapore, and the Singapore Centre on Environmental Life Sciences Engineering. NTU provides a high-quality global education to 33,000 undergraduate and postgraduate students. The student body includes top scholars and international olympiad medallists from the region and beyond. Hailing from more than 90 countries, the university's 3,300-strong teaching and research staff bring dynamic international perspectives and years of solid industry experience.

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Application for admission to graduate programmes by coursework & dissertation.

• Please check and ensure that all data you have entered in the on-line form is correct and accurate before submission of application. No amendments to the online form will be allowed after application is submitted.
• You are not allowed to apply both Full-Time and Part-Time for the same programme. You may make changes to the mode of study during acceptance of admission offer.
• Application without payment will not be processed. Application fee must be paid before application closing date.

Application for MSc(Wuhan) programmes offered by EEE The MSc(Wuhan) programmes offered by School of Electrical and Electronic Engineering are only applicable for invited candidate after receiving email invitation from the administrator of the School. Do NOT submit application for MSc(Wuhan) programmes if you are not the invited candidate, as your application will NOT be processed and fee is non-refundable. For invited candidate, please strictly select the programme as stated in the email invitation.

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• PhD Research degrees in Science and Technology

Research degrees in Science and Technology PhD

• Level(s) of Study: Postgraduate research
• Start Date(s):
• Duration: 2 - 4 years full-time, 4 - 8 years part-time
• Study Mode(s): Full-time / Part-time
• Campus: Clifton Campus
• Entry Requirements: More information

Introduction:

The School of Science and Technology at Nottingham Trent University offers opportunities to study for a PhD by research. Supervision is available by full-time or part-time study, and can sometimes be provided by distance learning.

Undertaking a PhD

Nottingham Trent University offers opportunities to study for a PhD by research in all its academic schools. Supervision is available by full-time or part-time study, and can sometimes be provided by distance learning.

Research in the School of Science and Technology is rich and diverse, with staff conducting internationally recognised and world-leading research. Research is clustered in Research Centres and units, providing a focus for different themes with their underpinning platforms:

• Biomedical Sciences and the John Van Geest Cancer Research Centre -

Internationally excellent research environment - Our Biomedical Research is world-leading and involves staff with broad academic backgrounds, including Biochemistry, Bioinformatics and Biomathematics, Analytical/Synthetic Medicinal Chemistry, Immunology, Microbiology and Pharmacology.

• Computing and Informatics -

Internationally excellent research impact - The multi-disciplinary research is directed to address important questions and is clustered under three themes: Interactive Systems for cognitive and physical rehabilitation and mental wellbeing; Computational Intelligence and Applications for computationally intelligent methods and techniques; and Intelligent simulation, modelling and networking .

• Materials and Engineering -

Internationally excellent research environment - Our multidisciplinary Materials and Engineering Research is extremely strong in terms of high-quality outputs, income generation, and international impact.

• Sport, Health and Performance Enhancement (SHAPE) Research Centre -

Internationally excellent research outputs - Our Sports Science research is multi-disciplinary and is clustered under a number of themes, driven by the Musculoskeletal Physiology, Sports Performance, Exercise and Health and Sport in Society Research Groups.

These research units promote the research excellence and facilities within the School, and stimulate knowledge transfer, innovation and exploitation. They provide strategic direction in research planning and portfolio development, and ensure that mechanisms are in place to nurture research.

Supporting your studies

Carrying out research for a PhD or ProfD requires different skills from undergraduate or taught postgraduate study. You will mostly work on your own research project, but we also emphasise the importance of regular meetings with your supervisory team.

The team consists of a director of studies (who will usually have expertise in your subject area) and at least one other supervisor selected for their complementary expertise such as relevant research methods.

The Doctoral School team will support you from your initial enquiry, through the application process and the various stages of your degree, until your viva voce examination and subsequent graduation. Once you begin your studies, you will have induction sessions to introduce you to the University, help you settle in and meet other researchers.

Researcher training

In addition to studying for a research degree, students undertaking traditional-route PhDs will participate in researcher training. This combines general research training with specific topics associated with your discipline. The training focuses on the requirements of external research funding bodies and government requirements.

We also provide a structured programme of transferable skills training and career development. This is informed by the work of Vitae, the national organisation which supports researchers throughout their careers.

What you’ll study

We offer opportunities for postgraduate research leading to PhD qualifications, by both full and part-time research routes, across the broad subject disciplines within our portfolio. Major areas of research in School of Science and Technology are:

Biomedical and Biological Sciences

• Bioinformatics and Biomathematics
• Biotechnology
• Cancer biology, immunology and vaccines
• Cell biology
• Disease mechanisms and age-related diseases
• Environmental quality
• Epigenetics
• Neurobiology and Neurosciences
• Pharmacology and Toxicology
• Pathogen Research
• Personalised Medicine
• Proteomics and Genomics

Chemistry and Forensic Sciences

• Chemical Education
• Analytical and Forensic Science
• Organic and Medicinal Chemistry
• Bioinorganic and Materials Chemistry
• Crystallography of Organic Compounds and Molecular Interaction
• Drug Delivery and Imaging
• Supramolecular Chemistry
• Green Chemistry
• Nano-materials and Nano-chemistry
• Polymer Chemistry, Composites and Organic Materials
• Chemometrics and Metabonomics

Computing Science

• Ambient Intelligence
• Assistive Technologies
• Computational Intelligence
• Communication Systems
• Intelligent Recognition
• Intelligent Simulation and Modelling
• Interactive Systems
• Pervasive Computing
• Robotics and Cognitive Systems
• Serious Games

Physics and Mathematics

• Archeometry and Imaging for Art Conservation
• Biomedical Mathematics
• Computational Materials Physics and Modelling
• Functional and Smart materials (bio, nano, photonic)
• Graph Theory and Combinatorics
• Medical and Materials Imaging
• Optoelectronics, Displays and Flexible Electronics
• Quantum Information Science
• Scientific Computing and Computational Statistics
• Sensors, Acoustics and Vibrometry
• Surface and Interfacial Science

Sport Science

• Biomechanics and Neuromechanics
• Exercise for Health across the Lifespan
• Impact of Exercise and Diet on Bone and Muscle
• Respiratory Physiology
• Sports performance of Individuals and Teams
• Sport and its Role in Society

Don’t just take our word for it, hear from our students themselves

Student profiles, kinana habra.

NTU provides specialist support to ensure everybody gets the most out of student life, whether that be health and wellbeing support or opportunities to interact with a diverse set of people.

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Staff Profiles

Ahmad lotfi - professor and head of department.

Computer Science

Careers and employability

Your career development.

Nottingham Trent University prides itself on the real-world relevance of its courses, and places particular emphasis on helping students to develop the academic and practical know-how that encourages initiative, innovation and academic excellence.

All our research degrees incorporate a programme of supporting studies designed to develop knowledge and skills of all aspects of the research process, including the funding and dissemination of research. This will ensure that you have the necessary expertise to successfully complete your doctoral programme and lay sound foundations for your future career.

Participation in academic conferences, seminars and external networks will cultivate contacts, skills and knowledge essential for successful research practice. These abilities are also transferable to a wide range of other careers. Researchers are also invited to take part in our own research conferences giving you the opportunity to present your work and discuss with other researchers at NTU.

There are some opportunities for research students to prepare for an academic career by teaching undergraduate students or supervising laboratory work, and students may take part in the Introduction to Learning and Teaching in Higher Education training programme.

Although formal placements are not a requirement of PhDs, the University has strong links with professionals in business and industry.

Campus and facilities

Fees and funding.

• International

Please visit the Doctoral School website

How to apply

Entry requirements.

• A minimum of a first or second-class degree or a Masters degree in a relevant discipline
• A period of pre-PhD study is required for some subjects before entry to a PhD
• And / or evidence of motivation and ability to conduct research at higher degree level
• English language requirements – IELTS 6.5 (with minimum sub-scores of 6.0)

Applicants who have taken a higher degree at a UK university are normally exempt from the English language requirements. Applicants who do not meet the English language proficiency requirement will normally be asked to complete an English Language course.

As you’re applying for a Research degree, you may also like to have a look around our Research pages . This may help you to spot academic staff, research areas or projects that interest you.

Visit the Doctoral School’s step by step guide to make an application .

Please read our notes on the University’s commitment to delivering the educational services advertised .

Department of Biomedical Engineering, NTU

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Degree Information

Proposal Oral Exam

• Qualifying Exam

International students seeking admission to the Global PhD degree program must complete an application using NTU’s online application system, accessible via the Office of International Affairs website.

Several financial aids and scholarship may be available. The detailed information of financial aids and scholarship can be found at the Office of International Affairs website.

Degree Requirements and Qualification of the Global PhD Program (cut)

Each doctoral student should select a willing dissertation advisor within four registered semesters. After passing all qualifying exams, a dissertation proposal evaluation committee of three to five qualified committee members as ruled by Regulations Governing Thesis/Dissertation Defense should be formed by the advisor. The oral exam of the dissertation should take place no earlier than the next semester after the semester in which the proposal is approved by the committee.

Degree requirements of the global PhD program

4.1  Successful completion of eighteen (18) credits of course work for students with a M.S. degree in IE-related fields is required. Otherwise, thirty (30) credits are required. All those credits should exclude credits on Special Project for Doctor Degrees Student, Graduate Seminar and Doctoral dissertation.

4.2  At least 12 credits should be earned on courses offered by IIE.

4.3  Successful completion of a 6-hour course offered by “the Center for Taiwan Academic Research Ethnics Education” or an equivalent course within the first registered year is required.

4.4  All doctoral students should pass qualifying exams within four registered semesters. Failing this requirement, the student should be expelled from this program and university. The exams have two parts. In the first part, all doctoral students should pass a qualifying exam on Statistical Methods. In the second part, students should pass any two subjects among, (a) Introduction to Optimization, (b) Introduction to Stochastic Modeling, (c) Dynamic Programming, (d) Introduction to Nonlinear Programming, (e) Integer and Combinatorial Optimization, (f) Data Analytics, and (g) Linear Algebra and Its Applications.

4.5  For the second part of the qualifying exams, an exam can be waived by petition if the student has received a grade of A- or better in a linked course within the last 5 years.

4.6  Presentation of dissertation works in an international conference sponsored by the Asia Pacific Industrial Engineering and Management Society (APIEMS), the Institute for Operations Research and the Management Sciences (INFORMS), the Institute of Industrial and Systems Engineers, or the Institute of Electrical and Electronics Engineers (IEEE), or conferences approved by the academic committee is required.

4.7  Completion of two papers as the first, second or corresponding author, in the top 50% rank (by 5-year impact factor) of SCI or SSCI journals is required.

4.8  For the requirement in 4.7, one paper should already be accepted for publication and the other should pass the first referee review.

Degree Requirements and Qualification of the Global PhD Program

Specific Rules for the Doctoral Degree Program  

1.3 Proposal Oral Exam Forms

Each doctoral student should select a willing dissertation advisor within four registered semesters. After passing all qualifying exams, a dissertation proposal evaluation committee of three to five qualified committee members as ruled by Regulations Governing Thesis/Dissertation Defense should be formed by the advisor. The oral exam of the dissertation should take place no earlier than the next semester after the semester in which the proposal is approved by the committee.  

1.4 Qualifying Exam

All doctoral students should pass qualifying exams within four registered semesters. Failing this requirement, the student should be expelled from this program and university.

The exams have two parts. In the first part, all doctoral students should pass a qualifying exam on Statistical Methods. In the second part, students should pass any two subjects among, (a) Introduction to Optimization, (b) Introduction to Stochastic Modeling, (c) Dynamic Programming, (d) Introduction to Nonlinear Programming, (e) Integer and Combinatorial Optimization, (f) Data Analytics, and (g) Linear Algebra and its Applications.

In the first part, all doctoral students should pass a qualifying exam on Statistical Methods.

Chapter 1 - Chapter 13 in Probability and Statistics for Engineering and the Sciences (By Jay L. Devore)

For the second part of the qualifying exams, an exam can be waived by petition if the student has received a grade of A- or better in a linked course within the last 5 years.

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Graduate Studies Blog

MSC FINANCIAL ENGINEERING

Gaining the skills to solve real-world investment problems with an msc financial engineering.

One unique feature of the MSc Financial Engineering (MFE) programme at Nanyang Business School (NBS) is its flexibility. For professionals seeking overseas exposure, the CMU track offers the option of studying abroad at the renowned Carnegie Mellon University .

However, for those who prefer to complete their studies in Singapore, the non-CMU track also offers rich opportunities. For Gong Ruitao, it was a rare chance to embrace self-directed learning and prepare for his future career.

With his one-year journey coming to a close, he shares how his MFE experience has equipped him to excel in the investment world.

​The “great satisfaction” of real-world trading

There’s no doubt that Ruitao is a go-getter – indeed, his drive to learn outside the classroom first led him to financial engineering.

As an undergraduate at China’s Xiamen University, Ruitao signed up for the Mathematical Contest in Modelling – an international contest for students to analyse and solve a real-world application problem. Ruitao and his team developed an optimisation algorithm for Bitcoin Gold trading.

“I found that applying my textbook knowledge to real-world trading gave me great satisfaction and pushed me to learn more,” he shared. “After researching more about a career in the financial engineering field, I was determined to devote my efforts towards this.”

With a double degree in Accounting and Statistics, Ruitao was already well-versed in finance and data analytics skills. But he needed to strengthen his knowledge in programming to perform data modelling and create algorithms. He also needed a deeper understanding of financial economics to tackle complex investment questions.

NBS was an obvious choice to further his studies, as he knew of the MFE programme’s strong reputation in Asia. “I felt this reputation could greatly benefit my career,” he recalled. “I also knew that the curriculum is ‘hardcore’ in mathematics and coding, which would greatly improve my skills in financial engineering.”

Gaining the confidence to solve real-world problems

The essence of financial engineering is problem-solving . Whatever your role, it ultimately boils down to using quantitative skills to solve financial problems.

For Ruitao, this problem-solving capability has been his most valuable takeaway from the MFE programme. Beyond theoretical knowledge, his MFE journey has honed his ability to go beyond the textbook and tackle real-world problems.

“In every module, we learnt a lot of models from stochastic calculus to bond pricing,” he explained. “These models are beautiful and concise, but the real world is more complex.”

To get participants thinking outside the box, the MFE professors guided them to experiment with real datasets. “We practised things like asset pricing and risk management with real data, using Python, R, or Excel to obtain results,” he said. “Not only did this develop our problem-solving skills, it also enhanced our understanding of the formulas.”

These included advanced modules like Optimisation in Finance, Advanced Statistical Modelling, and Exotic Options & Structured Products. This latter module proved to be one of Ruitao’s most demanding and memorable experiences in his journey.

“The learning experience was amazing, especially as we needed to complete an individual research project,” he shared. “It pushed me to apply everything I learnt, from advanced stochastic calculus to asset pricing, and I’ve benefited greatly.”

​Preparing for success in a new stage of life

As a participant on the non-CMU track, Ruitao found that he had more unstructured time than his peers who spent their final term abroad. This extra time was a key reason behind his decision against going to CMU. “I wanted the extra time to develop myself and learn other skills,” he revealed.

Indeed, Ruitao’s past few months have been fruitful. Having secured a job offer early this year, he set out to familiarise himself with his future role: a financial analyst with Chinese real estate developer CCCC Investment Company Ltd.

“In this role, I’ll focus on asset securitisation and investment management,” he shared. “I’ll manage the investment data for hundreds of real estate projects and provide useful data insights. I’ll also assist in project rating – assessing whether new projects are profitable and in good condition.”

To give himself a head start, Ruitao extensively researched key aspects of the job: asset securitisation in China, project management in the real estate industry, and report writing. He also read widely about philosophy, psychology, and history to enrich his mind.

Most importantly, the extra free time served as a breather, enabling him to refresh and unwind after a challenging year of studies.

“During this break, I was able to relax and let go of any pressure fully,” he said. “Now, I feel prepared to enter a new stage of life.”

Equipped to excel in an investment career

If you plan to enrol in the MFE programme and wonder whether the CMU or non-CMU track is for you, Ruitao has these words of advice.

“It all depends on what you want to get out of the MFE journey,” he shared. “If you want to experience life in the US, apply for the CMU track. The non-CMU track will be a good fit if you prefer more time for internships or personal development.”

Whichever route you choose, the MFE programme can equip you with the multidisciplinary skill sets to open doors in the competitive world of investment.

“My MFE journey has provided me with rich financial and analytical knowledge, which will be vital in my future investment-based career. It has also cultivated my problem-solving and time management skills,” Ruitao concluded. “I think I’ve learnt a lot in this one year.”

Find out more about the MSc Financial Engineering programme here .

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MSc Financial Engineering 

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8 Research Positions and 2 PhD Scholarships on Robust AI for Autonomous Driving Perception

Posted on June 8th 2023

The following 8 research positions and 2 PhD scholarships are immediately available at School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore:

• 3 Research Fellows/Senior Research Fellows (Research Fellow is for PhD degree holder; Senior Research Fellow is for PhD degree holder with at least 4 years postdoc experience.)
• 4 Research Engineers (for Bachelor/Master degree holder)
• 2 PhD students (for Bachelor/Master degree holder)
• 1 (Visiting) Research Assistant (for ongoing Bachelor/Master student)

The successful candidates will conduct research in the topic of robust AI for autonomous driving perception. Detailed research tasks include physical-space adversarial example attacks, applying redundancy and diversity of deep neural networks to harden object detection, depth estimation, and semantic segmentation, as well as maintaining the real-time performance of the hardened AI computing on embedded GPUs (NVIDIA Jetson AGX Orin). RGB camera and LiDAR will be the main sensing modalities to be studied, while the project may be extended to address RGB-D camera and mmWave radar. The candidates should be specialized in computer science, computer engineering, or relevant disciplines. The candidates applying the Senior Research Fellow or Research Fellow position should have strong research record, preferrably on top-tier computer science/engineering conferences. The candidates applying the Research Engineer position or PhD scholarship are expected to have hands-on experiences with computer systems and ethusiams for experimentation-grounded systems research.

Interested candidates can send CV with full publication list or project experience descriptions to [email protected] . The application may indicate the type of position applied. To receive full considerations, please send CV by June 30th 2023.

The research project is led by Assoc Prof. Rui Tan and Assoc Prof. Jun Luo at NTU SCSE, and co-led by several other professors. Researchers on the project will also have international collaborations with experts in the topic.

About NTU and SCSE: NTU is a fast-rising young university. It is No. 1 among universities under 50 years (2021) . The computer science of NTU is ranked 6th and 8th in the world according to The US News and The Academic Ranking of World Universities (Shanghai Ranking) in 2022.