This programme trains you in the fundamental aspects of quantitative and qualitative research, including research design, data collection and data analysis, and provides practical, ‘hands-on’ experience.
The programme will appeal to you if you would like to develop your career in experimental research, or to enhance your ability to apply research skills in either the public or the private sector.
The programme will enable you to:
You also complete a research project leading to a dissertation, and you participate in general research skills training modules with students from other departments at Goldsmiths.
For more than ten years now, the programme has been recognised by the Economic and Social Research Council(ESRC) as providing the generic and specific research training required by students in receipt of ESRC studentship awards.
Since 2011, the programme has been the research methods training masters for the psychology pathway within the Goldsmiths and Queen Mary ESRC-funded Doctoral Training Centre (2011-2015).
Students in receipt of an ESRC 1+3 PhD studentship in the psychology pathway have to take this course as the first year of a 4-year PhD programme; students who have completed the Masters self-funded, are eligible to bid for an ESRC funded +3 PhD studentship in the psychology pathway at Goldsmiths or Queen Mary.
The MRes runs for one academic year full-time or two years part-time. Most of the lectures, seminars and workshops on the programme run in the first two terms, but you are expected to pursue your studies beyond formal term times, particularly in respect of your research project.
Lectures, seminars and workshops for the programme are timetabled mainly for Mondays and Tuesdays, but you may occasionally be required to attend other seminars and workshops held by the Department and College. You must take all the modules listed in the syllabus.
The list below provides an overview of the topics covered in each module. All modules include a strong practical component.
In addition to these modules, you will also complete:
Research Project (60 credits)
You will produce an empirical piece of research leading to a research project, supervised by at least one member of the lecturing staff in the Department. The project provides invaluable, practical ‘hands on’ experience of evaluating a particular research question. You have the opportunity to set your research question, determine and apply the methods to obtain the answers, and present, discuss and interpret the results. You normally start your project in the second term, together with necessary literature reviews and research design. Work on your project will continue full-time following the formal examinations in May up until project submission in mid-September.
Additional workshops and seminars
You are also required to attend some of the Department’s programme of Invited Speakers’ talks given by distinguished academics in psychology, and to produce a written critique on one of these. You are welcome to attend the Department’s other seminar series, which are hosted by eminent academics and practitioners.
Written examinations; coursework; dissertation.
The programme aims to equip you with a sound understanding of methods and skills necessary to conduct high-level research in psychology, using a wide range of approaches and techniques.
The programme provides the ideal preparation for a research career. Many students go on to do a PhD, or to conduct experimental research in a wide variety of settings.
Find out more about employability at Goldsmiths.
* One-year masters studentships are available for this stream. Each studentship will be worth £5000 and can be taken either as a reduction in fees or as a bursary. Studentships will be awarded based on academic merit and are open to all applicants, regardless of fee status (home/EU/overseas). Please indicate 'Data Science' in the first line of your personal statement.
* Two PhD Studentships targeted at successful graduates from this stream. Two 3-year PhD studentships will be on offer, targeted at students obtaining a minimum of a Pass with Merit on the Data Science stream. These studentships will cover the cost of tuition fees for home/EU applicants and a stipend at standard Research Council rates.
This course is a stream within the broader MRes in Biomedical Research.
The Data Science stream provides an interdisciplinary training in analysis of ‘big data’ from modern high throughput biomolecular studies. This is achieved through a core training in multivariate statistics, chemometrics and machine learning methods, along with research experience in the development and application of these methods to real world biomedical studies. There is an emphasis on handling large-scale data from molecular phenotyping techniques such as metabolic profiling and related genomics approaches. Like the other MRes streams, this course exposes students to the latest developments in the field through two mini-research projects of 20 weeks each, supplemented by lectures, workshops and journal clubs. The stream is based in the Division of Computational and Systems Medicine and benefits from close links with large facilities such as the MRC-NIHR National Phenome Centre, the MRC Clinical Phenotyping Centre and the Centre for Systems Oncology. The Data Science stream is developed in collaboration with Imperial’s Data Science Institute.
Students with a degree in physical sciences, engineering, mathematics computer science (or related area) who wish to apply their numeric skills to solve biomedical problems with big data.
Students will gain experience in analysing and modelling big data from technologically advanced techniques applied to biomedical questions. Individuals who successfully complete the course will have developed the ability to:
• Perform novel computational informatics research and exercise critical scientific thought in the interpretation of results.
• Implement and apply sophisticated statistical and machine learning techniques in the interrogation of large and complex
biomedical data sets.
• Understand the cutting edge technologies used to conduct molecular phenotyping studies on a large scale.
• Interpret and present complex scientific data from multiple sources.
• Mine the scientific literature for relevant information and develop research plans.
• Write a grant application, through the taught grant-writing exercise common to all MRes streams.
• Write and defend research reports through writing, poster presentations and seminars.
• Exercise a range of transferable skills by taking short courses taught through the Graduate School and the core programme of the
MRes Biomedical Research degree.
A wide range of research projects is made available to students twice a year. The projects available to each student are determined by their stream. Students may have access from other streams, but have priority only on projects offered by their own stream. Example projects for Data Science include (but are not limited to):
• Integration of Multi-Platform Metabolic Profiling Data With Application to Subclinical Atherosclerosis Detection
• What Makes a Biological Pathway Useful? Investigating Pathway Robustness
• Bioinformatics for mass spectrometry imaging in augmented systems histology
• Processing of 3D imaging hyperspectral datasets for explorative analysis of tumour heterogeneity
• Fusion of molecular and clinical phenotypes to predict patient mortality
• 4-dimensional visualization of high throughput molecular data for surgical diagnostics
• Modelling short but highly multivariate time series in metabolomics and genomics
• Searching for the needle in the haystack: statistically enhanced pattern detection in high resolution molecular spectra
Visit the MRes in Biomedical Research (Data Science) page on the Imperial College London web site for more details!
The Department of Electronic and Electrical Engineering is seeking to appoint an MPhil / MRes student to conduct research for the Eco-Innovation Cheshire and Warrington Industry Collaboration programme. Postgraduate fees are paid by the industrial sponsor for UK/EU students.
This studentship is part funded by the European Regional Development Fund (ERDF).
The sponsor company designs and manufactures energy-efficient control and monitoring systems for the refrigeration industry. With 30 years of industry experience and a focus on energy efficiency and energy reduction, the company delivers direct and indirect energy savings, improved control and greater operational efficiency worldwide.
The proposed innovation adds an exciting new subsystem to optimise and significantly improve the accuracy and efficiency of the refrigeration process. It could be applied in a number of formats worldwide to deliver: lower energy consumption; reduced equipment operation; reduced equipment maintenance and lower costs for retailers. The technology has the potential to save mega-tonnes of carbon and significantly contribute to the UK’s climate change targets by 2030. In this project, you will apply your electronics and electrical engineering skills to: developing a suitable and commercially viable hardware sensor; verifying sensor placement and analysing digital signals.
This is an exciting opportunity to gain skills and experience in the highly-marketable areas of DSP and the Internet of Things.
1. Establish and verify a low cost, robust and reliable sensor.
2. Verify the sensor's ability to detect key signals for use with digital signal processing analysis.
3. Verify the best position and mount for optimised/accurate data and digital signal analysis.
4. Verify the sensor can operate in the varying conditions created by the refrigeration process.
5. Provide a report and evidence of the research and conclusions to the University of Chester and the company.
1. Knowledge of DSP tools such as MATLAB, Audacity or similar.
2. Skilled in electronics design for sensor interfaces.
3. Capability to use DSP tools and build interface circuits to micro processors.
First degree (2:1 or above) in Electronic and Electrical Engineering, Control Engineering, Manufacturing and Mechanical Engineering or Mathematics (essential).
You will be a motivated and dynamic person, with a demonstrable capability to conduct independent research.
Applicants whose first language is not English must provide evidence of proficiency to IELTS 6.5 with no less than 5.5 in each band or equivalent.
This studentship attracts a tax exempt stipend of £15,000 per annum. Post graduate fees are funded for UK/EU based students. International students will be required to make an additional contribution to their post graduate fees. The successful applicant will be invited to choose whether to pursue an MPhil or MRes, depending on their career objectives, however minor variations in funding and course structure and duration will apply. Further details on this are available from Dr Andrew McLauchlin [email protected] +44 (0)1244 512494.
A completed University of Chester Postgraduate Research Degree (MPhil/MRes) application form including contact details of two referees (at least one must be familiar with your most recent academic work).
Candidates should apply online via the University of Chester website page https://www.chester.ac.uk/research/degrees/studentships and specify their reference number when applying. The reference number is: RA001801
Shortlisted candidates will be notified soon after the closing date. Interviews will normally be held in the two weeks following the closing date.
Prospective applicants are encouraged to initially contact Dr Gerard Edwards [email protected] Tel. 01244 512314 to discuss the project further. For general enquiries contact Postgraduate Research Admissions, University of Chester at [email protected]
Closing date: 31st January 2018
Research training opportunity based on a single project in molecular, environmental or medical microbiology.
Note: Financial support/funding for your training may be available - please see below.
For further details please go to http://www.kingston.ac.uk/research/research-degrees/fees/
The project can start at any time. Training duration (full time) - 1 year.
The candidates will be able to select a title from the list below, or suggest their own project relevant to research conducted in the host laboratory. Our priority areas of studies are: molectual mechanisms of interaction between pathogenic bacteria and host cells, virulence factors, mechanisms of bacterial stress response, molecular genetics and genomics with a focus on Campylobacter jejuni and other bacterial pathogens.
(1) Investigation of host-pathogen interaction (e.g. to study of adhesins of Campylobacter jejuni and cognate host cell receptors)
(2) Application of IonTorrent Next Generation Sequencing for comparative analysis of bacterial pathogens (e.g. to study genetic mechanisms responsible for structural variation of a capsular polysaccharide of Campylobacter jejuni)
The research will employ a wide range of state of the art microbiological and molecular biology techniques, and a successful candidate will receive extensive training and support from an experienced supervisor.
It is expected that the student will actively participate in scientific meetings and writing research articles with a possibility to progress to a PhD, and a postdoctoral post in future (depending on performance).
- enthusiastic and eager to learn;
- keen on research in molecular microbiology in general, and in investigation of bacterial pathogens in particular.
- some basic skills in bench work would be beneficial.
Please fill-in the application form available at
Email this along with evidence of educational qualification and any other supporting documents (e.g. University Certificates and exam transcripts, English Language test Certificate if applicatble, etc) to Prof. A. Karlyshev - [email protected]
Please also ask two referees who are familiar with your academic ability (or any relevant work experience) to email references to Prof. A. Karlyshev - [email protected]
You may be eligible to apply for a studentship/bursary to support your training, and may find useful the following links and contact details:
Funding opportunities listed at Faculty of Science, Engineering and Computing
General info and links
Loyalty bursaries for alumni and families
Annual Fund scholarships
Postgraduate Admissions Office
Faculty of Science, Engineering and Computing
Accessible via Switchboard tel. +44 (0)20 8417 9000
Tel: +44(0)20 8417 3221
Email: [email protected]
Tel: +44 (0)20 8417 3112
Email: [email protected]
Tel: +44 (0)20 8417 3112
Email: [email protected]
Note: any further enquiries regarding these training opportunities (not related to funding) should be addressed to Prof. A. Karlyshev [email protected]
Visit the MSc by Research in Molecular Microbiology page on the Kingston University website for more details!
Please see course description
£3996 (home students) or £13,000 (overseas students), plus bench fees, £3,000.
Studying for a PhD with UEL’s School of Social Sciences will push you to the limit - and you’ll be supported all the way by our world-class academic staff.
Our research consistently delivers improved outcomes for the delivery of social for adolescent self-harm, suicide prevention and child abuse.
Active social work and social policy research strands range from international human rights to the practical – such as applying practice-near research to social work, and using new media to help people with learning disabilities. We also use geo-information and numerical simulations to develop crime, health and social policies.
Our Sociology strand includes active research on anthropology, political economy, social psychology and psychoanalysis, international development, politics, refugee, urban and gender studies.
Internationally, the School has partnerships with the University of New Mexico and the American University of Cairo; as well as exchange programmes with several European colleges.
The Department of Chemical Engineering is seeking to appoint an MPhil/MRes student to conduct research for Eco-Innovation Cheshire and Warrington Industry Collaboration programme. This studentship is part funded by the European Regional Development Fund (ERDF).
The proposed project will investigate the design of a continuous bioreactor for maximum capture of CO2.
Autichem Ltd has developed a new type of flow reactor (DART). DART is designed to be a fully scalable technology with capacities from miso scale (10ml) to industrial scale.
It is proposed that the MPhil/MRes project runs for 1 year and will utilize DART to achieve a process design for the optimized capture of CO2.
Summary of research tasks and work programme
Using the Autichem Ltd’s DART technology as the continuous process platform, the projects objectives will be, but not limited to the following:
· To convert a batch process to a continuous process
· To research and understand the possibilities of applying closed loop control to a continuous process.
· The design an industrial scale process that is based on the knowledge gained during the research and testing phases of the project.
The project should aim to deliver the following:
· A process design for a lab scale flow reactor system based on Autichem Ltd’s DART reactor
· Data which demonstrates the successful operation of the process in the prototype DART reactor system at lab/pilot scale.
· A detailed process design for an industrial scale system
· All research documents relating to the development of the reactor and associated control system.
· 3 off research posters which provide insight into the operation of the process in the DART system and which can be used to promote what has been achieved. These could, for example, be on the general topic areas of: converting batch to continuous; control of a continuous process and scaling up a continuous process to industrial scale.
Skills and knowledge
· A fundamental understanding of continuous process design at industrial scale.
· Experience with bio process development
· Knowledge of working with micro organisms
This MPhil attracts a tax exempt stipend of £15,000 per annum. Post graduate fees are funded for UK/EU based students. International students will be required to make an additional contribution to their post graduate fees.
A completed University of Chester Postgraduate Research Degree (MPhil) application form including contact details of two referees (at least one must be familiar with your most recent academic work).
Candidates should apply online via the University of Chester https://www.chester.ac.uk/research/degrees/studentships and specify their reference number when applying. The reference number is: RA001802
Availability for interview
Please be available for interview during the week of the 20th November 2017. Exact time and date to be agreed.
Prospective applicants are encouraged to initially contact Steve Wilkinson [email protected] 01244 513921 to discuss the project further. For general enquiries contact [email protected]" target="_blank">[email protected]
Closing date: 14th November 2017