Research study

Research study

We offer a number of postgraduate research opportunities and scholarship schemes at PhD level.  More information can be found below.

All enquiries should be directed, in the first instance, to our Director of Research Programmes at the University of Glasgow, Singapore, Dr Cindy Goh (cindy.goh@glasgow.ac.uk).

Current opportunities

Industrial PhD Studentship - Deep Learning Intelligence for Decision Modelling and Optimisation in Manufacturing Sales

Location: Singapore
Hours: Full-Time
Eligibility: Singapore PR or Citizen

 

An opportunity to apply for a full-time PhD is available in the School of Computing Science, University of Glasgow Singapore. The studentship will be funded by the Singapore Economic Development Board (EDB) under the Industrial Postgraduate Programme (IPP). The position is available immediately, and the trainee is expected to start as soon as possible and no later than 1 June 2019.

About the studentship

The studentship is in collaboration with In Mind Cloud - a global provider of innovative sales platform (https://www.inmindcloud.com). In Mind Cloud focuses on state-of-the-art technologies for optimising processes to deliver a unique experience for every customer based on the millions of data points generated by the processes every year. Headquartered in Singapore, the company is operating globally through its offices in Asia and Europe. University of Glasgow, a world top 100 university, has strategic links with industry at a national and international level and gives a high priority to collaborative research, based firmly on the belief that world-class research and enterprise activities have to be integrated, relevant and proactive.

Rooted in cutting-edge R&D capabilities from both In Mind Cloud and theUniversity, the successful candidate will conduct research in the area of deep learning, computational modelling, and decision optimisation. With the phenomenal adoption of Enterprise Resource Planning (ERP) systems over the past decades, the complexity and heterogeneity of product configurations and sales lead to the optimisation challenge of combinatorial explosion in large manufacturing firms. With huge bill of materials (BOMs), it is critical to balance the satisfactory configurations and competitive prices in order to maximise profit margins with high win rates. Provision of manufacturing-ready quotes in the shortest time possible can be a game changer; thus, deep learning techniques can be employed for modelling and optimising decisions and sales using unstructured, external, and ERP data in a timely, efficient manner. As a result, a scalable and highly-configurable engine can be built for handling massive price changes, eliciting dynamic preferences of discounts and margins, and recommending winnable quotes and proposals in manufacturing sales. In addition, the discovery and integration of latent semantic structures in the unstructured data of external systems can be propitious to enrich the engine with insightful probabilistic instructions. The trainee is expected to work and research on deep neural networks, computational modelling and optimisation in order to design and develop deep learning intelligence in a cloud-based sales platform.

The trainee will be enrolled under a 4 years’ industry-based PhD program, supervised jointly by University of Glasgow, University of Glasgow Singapore and In Mind Cloud. This position provides an exciting opportunity to conduct industry relevant research in artificial intelligence and Industry 4.0, leading towards a PhD degree. The position is mainly based in Singapore, although the trainee could be required to travel to the home campus in Glasgow, United Kingdom from time to time. The tuition fee is fully supported under this program, and a competitive salary will be provided.

Requirements:

  1. Bachelor degree with 1st class Honours or 2nd Upper Honours, in computing science; a master degree by research is preferable;
  2. Experience in areas related to machine learning, deep neural networks, and big data;
  3. Strong written and verbal communication skills;
  4. Good programming skills in Python, and/or Java;
  5. Knowledge of text mining and software implementation has an advantage;
  6. Ability to work independently with minimal guidance, as well as a strong team player;
  7. Prior experience on research and technical publications will be added advantage;
  8. Fresh graduates or experienced computer scientists are welcome to apply;
  9. Must not concurrently hold any other scholarships, awards or fellowships.

For further information about this studentship and scope of project, please contact: Assistant Professor Harry Nguyen (Harry.Nguyen@glasgow.ac.uk).

To apply, please submit a personal statement on “Why you are interested in pursuing a PhD study”, and a CV to singapore-cs-rp@glasgow.ac.uk.

The closing date for applications is Friday 30 November 2018.

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Industrial PhD studentship – Big Data Artificial Intelligence/Machine Learning for cognitive digitized manufacturing sales

Location: Singapore
Hours: Full-Time
Eligibility: Singapore PR or Citizen

 

An opportunity to apply for a full-time PhD is available in the School of Computer Science, University of Glasgow Singapore. The studentship will be funded by the Singapore Economic Development Board (EDB) under the Industrial Postgraduate Programme (IPP). The position is available immediately, and the trainee is expected to start as soon as possible and no later than 1 June 2019.

About the studentship

The studentship is in collaboration with In Mind Cloud - a global provider of innovative manufacturing sales platform whose product vision is to provide competitive advantage for customers to succeed business transaction and deal in the age of digital economy and industry 4.0. (https://www.inmindcloud.com). Headquartered in Singapore, the company is operating globally through its offices in Asia and Europe. University of Glasgow, a world top 100 university, has established strong industry relationship at both national and international level. It upholds the belief in the excellence of collaborative research through the assimilation of both university world class research strength and the up to date relevance of industry/enterprise line of business.

With strong research support and facilities from both In Mind Cloud and the University, the successful candidate will conduct research in the area of big data Artificial Intelligence (AI) and machine learning (ML) algorithms to optimize and devise best likelihood winning financial pricing model. Industry 4.0 coupled with the fervent push of AI and ML with availability of big data has integrated both business and manufacturing processes seamlessly. In Mind Cloud has invented their manufacturing x sales platform that tightly coupled the sales, marketing and manufacturing system into one holistic system. Sale team can easily project and obtain their pricing quote based on the manufacturing scenarios such as part availability. However, in the age of digital economy, digitization of internal processes is not sufficed to win the business deal. There is a need to adapt and optimize the pricing strategy not only based on the standard one size fit all internal processes situation but all possible fluidity of the competition climax such as prediction and estimation of the potential competitors pricing quote. The trainee is expected to work and research on optimization theory with the big data AI and ML in order to design and develop various in-built analysis. These analysis engines may optimize the inner processes of manufacturing industry and also find the best optimized match of new novel costing technique to maximize the win of a deal baselined on a combination of input parameters and options.

The trainee will be enrolled under a 4 years’ industry-based PhD program, supervised jointly by University of Glasgow, University of Glasgow Singapore and In Mind Cloud. This position provides an exciting opportunity to conduct industry relevant research in advanced artificial intelligence and data analytics, leading towards a PhD degree. The position is mainly based in Singapore, although the trainee could be required to travel to the home campus in Glasgow, United Kingdom from time to time. The tuition fee is fully supported under this program, and a competitive salary will be provided.

Requirements:

  1. Bachelor degree with 1st class Honours or 2nd Upper Honours, in computing science and engineering; a master degree by research is preferable;
  2. Experience in areas related to big data, machine learning and artificial intelligence;
  3. Strong written and verbal communication skills;
  4. Good programming skills in Python, Java and MATLAB;
  5. Knowledge of optimization theory has an advantage;
  6. Ability to work independently with minimal guidance, as well as a strong team player;
  7. Prior experience on research and technical publications will be added advantage;
  8. Fresh graduates or experienced computer scientists, engineers are welcome to apply;
  9. Must not concurrently hold any other scholarships, awards or fellowships.

For further information about this studentship and scope of project, please contact: Assistant Professor Lawrence Seow Chee Kiat (lawrenceseowyx@gmail.com).

To apply, please submit a personal statement on “Why you are interested in pursuing a PhD study”, and a CV to singapore-cs-rp@glasgow.ac.uk.

The closing date for applications is Friday 30 November 2018.

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Industrial PhD Studentship – Advanced Sensing Technologies and Systems for Lung Health Assessment

Location: Singapore
Hours: Full-Time
Eligibility: Singapore PR or Citizen

An opportunity to apply for a full-time PhD is available in the School of Engineering, University of Glasgow. The studentship will be funded by the Singapore Economic Development Board (EDB) under the Industrial Postgraduate Programme. The position is available immediately, and the trainee is expected to start as soon as possible and no later than 1 June 2019.

 

About the studentship
The studentship is in collaboration with Hill-Rom - a global medical technology company with more than 10,000 employees worldwide with strong footprint in healthcare research and innovation (http://www.hill-rom.com). Hill-Rom is a leading worldwide manufacturer and provider of medical technologies and services for the healthcare industry, including non-invasive therapeutic products for respiratory care as well as patient support systems. University of Glasgow, a world top 100 university, has strong links with industry at a national and international level and gives a high priority to collaborative research, based firmly on the belief that world-class research and enterprise activities have to be integrated, relevant and proactive.

Backed by a strong R&D team from both Hill-Rom and the University, the successful candidate will conduct research in the areas of advanced sensing technologies and systems for lung health assessment. Airway clearance is important to our respiratory health. Retained mucus can be accumulated in the lung, which could create an environment for various respiratory infections leading to both acute and chronic respiratory conditions. The Hill-Rom’s respiratory care products are able to provide the treatment therapies to mobilize and remove the mucus from the patients. These treatments depend on the patient’s lung conditions and each patient may require adjusting the therapy parameters manually. Besides, it is difficult to check whether the patient is getting better after the treatment therapy. Therefore, it will be helpful to assess the patients’ lung health conditions to provide the personalized therapy. In addition, the therapy efficacy can be improved by monitoring the lung conditions before and after the treatment therapies. The trainee is expected to work and research on advanced sensing technologies and signal processing algorithms in order to design and develop a robust and reliable patient’s lung health assessment system.

The trainee will be enrolled under a 4 years’ industry-based PhD program, supervised jointly by University of Glasgow, University of Glasgow Singapore and Hill-Rom. This position provides an exciting opportunity to conduct industry relevant research in advanced sensing technologies and systems, leading towards a PhD degree. The position is mainly based in Singapore, although the trainee could be required to travel to the home campus in Glasgow, United Kingdom from time to time. The tuition fee is fully supported under this program, and a competitive salary will be provided.

Requirements:

  1. Bachelor degree with 1st class Honours or 2nd Upper Honours, in science and engineering; a master degree by research is preferable;
  2. Experience in areas related to sensing technologies, systems and signal processing;
  3. Strong written and verbal communication skills;
  4. Good programming skills in MATLAB, and C/C++;
  5. Knowledge of embedded systems and software implementation has an advantage;
  6. Ability to work independently with minimal guidance, as well as strong team player;
  7. Prior experience on research and technical publications will be added advantage;
  8. Fresh graduates or experienced engineers are welcome to apply;
  9. Must not concurrently hold any other scholarships, awards or fellowships.

For further information and application, please contact: Associate Professor David Li (David.Li@glasgow.ac.uk).


PhD Scholarships in Engineering and Computing Science

We are delighted to announce that we have a number of full-time and part-time PhD scholarships available at the University of Glasgow, Singapore to support exceptional students in Computing Science and Engineering disciplines. Research topics include, but notwithstanding:

  • Big Data analytics
  • Wireless Sensor Networks
  • Security management and pervasive computing
  • Smart homes for healthy aging and rehabilitation
  • Renewable energy and smart grid
  • Industrial automation
  • Computer-automated design and optimisation
  • Modelling and control of rigid-flexible space robots
  • Robust linear/nonlinear control of rigid and flexible spacecraft subject to dynamic uncertainties and external disturbances
  • Health Monitoring and Diagnosis in Aerospace and Aeronautical Systems
  • Sensor networks and Instrumentation in Aerospace and Aeronautical Systems
  • Subsonic and Supersonic flow in aircraft engine air intake duct and its flow control
  • Energy harvesting technologies on UAV and Aircraft
  • Drag reduction on UAV and Aircraft
  • Flight control of UAV based on Optimal Control Theory
  • Biomimetics (birds, fish, insects)
  • Unconventional UAV/MAV
  • Swarm / multiple UAV coordination.
  • Multi-rotor UAV & Fluid-Structure interaction
  • Vision-based navigation, real-time 3D mapping, path planning
  • Smart navigation sensors

 If you wish to submit your own research proposal for consideration, you will need to:

(i) Identify a supervisor working in a relevant area at the University of Glasgow, Singapore. More information about our staff’s expertise can be found here.

OR

(ii) Send a brief write-up of your research proposal detailing the area, objectives and scope of the project and your contact information to: cindy.goh@glasgow.ac.uk. We can then assist to identify a supervisor for you.

Applications are open all year round.

Eligibility

  • Singapore citizen or permanent resident
  • Minimum of a upper second class honours degree or equivalent
  • Information about English language proficiency requirements can be found under the University's English language requirement for postgraduate research degrees: http://www.gla.ac.uk/international/englishlanguagerequirements/

Sponsorship

  • Full tuition fees at 17,250GBP (AY15/16 rates) per year - up to a maximum period of 4 years for a full-time PhD and 6 years (pro-rated) for a part-time PhD.
  • 2,500 GBP start-up support
  • Bond-free

Training

  • The trainee shall be enrolled as a postgraduate research student at the University and will have at least two academic supervisors, based in Singapore and in Glasgow.
  • The trainee will participate in an annual progression meeting in accordance with University, College and School regulations and procedures. 
  • The trainee is expected to attend and present his/her work at research seminars and conferences in the area of research. 

Industrial Postgraduate Programme

The Industrial Postgraduate Programme (IPP), run in collaboration with the Economic Development Board (EDB) Singapore, will place approximately 50 PhD trainees over five years with companies based in Singapore.

The scheme will offer trainees the opportunity to receive postgraduate training in a research and development environment with the aim of extending knowledge exchange and partnership possibilities. 

The trainee will be enrolled as a full-time PhD student (up to a maximum period of 4 years) at the University while working on an industry project with a Singapore-based company.

CURRENT OPPORTUNITIES

We have secured a number of IPP opportunities with companies who are world leaders in the field of:

  • Aerospace systems
  • Mixed-signal systems design
  • Design and manufacturing
  • Marine and off shore technology
  • Computer vision and graphics
  • Big Data
  • Wireless Sensor Networks

Eligibility

  • Singapore citizen or permanent resident
  • Minimum of a upper second class honours degree or equivalent
  • Fresh graduates or existing employee of company may apply
  • Information about English language proficiency requirements can be found under the University's English language requirement for postgraduate research degrees: http://www.gla.ac.uk/international/englishlanguagerequirements/

Sponsorship

  • trainee’s full PhD tuition fees
  • trainee’s monthly basic salary (capped at S$3,300 and employer’s CPF contribution) 
  • co-sharing between EDB and company of research grants to the University (capped at S$12,500 per student per year)
  • This sponsorship carries no bonding requirement.

Training

  • The trainee shall be enrolled as a full time postgraduate research student at the University and will have two academic supervisors, one of whom will be based in Glasgow and the other in Singapore, together with a non-academic industrial supervisor from the company.
  • Training on transferable skills and/or access to facilities within the University to further the research project will be provided. This will take place in Glasgow over a period of 3 to 4 weeks on an annual basis during the PhD.  
  • The trainee will participate in an annual progression meeting in accordance with University, College and School regulations and procedures. 
  • The trainee is expected to attend and present his/her work at research seminars and conferences in the area of research.

Other Opportunities

A. PhD IN OPTOELECTRONICS (with the Institute of High Performance Computing – A*Star)

We are seeking an exceptional candidate to undertake PhD research in the area of optoelectronics.  A description of the project is given below:

Title: Design, Modelling, and Simulation of next generation optical communication devices

Scope: Quantum key distribution (QKD) harnesses the unique properties of single-photon encoding and transmission to offer communication security. Wavelength-division-multiplexing can increase bandwidth of O-band QKD and raise key rates to beyond Mbps but it is technically challenging. Custom-made O-band arrayed waveguuide gratings (AWGs) have losses as high as >6 - 7dB therein depleting >75% of the already-scarce photons. Without a low-loss AWG, it is impossible to have a broadband QKD system. We propose to develop a monolithic integrated low-loss waveguide grating to realize broadband Quantum Key Distribution systems in O-band. We shall study a relatively novel material platform that is promising for both high density integration and low optical losses. High-speed active devices will also be studied.

Eligibility

  • Singapore citizen or permanent resident
  • Minimum of a upper second class honours degree or equivalent
  • Information about English language proficiency requirements can be found under the University's English language requirement for postgraduate research degrees: http://www.gla.ac.uk/international/englishlanguagerequirements/