How to approach a potential PhD supervisor

I regularly receive emails from hopeful students wanting to do a PhD, and I frequently decline with similar feedback. Supervisors differ of course in what they look for, but I thought I’d blog these points in case it helps you decide whether a PhD is the right thing (whether or not with me!).

Demonstrate that you understand our work, and can position your interest in relation to this. If you’re seriously proposing to work on a project for 3-4 years of your life, show me how interesting you find it — so interesting that in fact, you’ve read some of the key literature, and specifically, our work.

  • Research groups are normally looking to build a research program in which each person’s work adds a new piece of the jigsaw to an emerging picture. Your PhD experience will also be massively enhanced when surrounded by colleagues interested in your work, and able to connect you to key ideas and people that will help you.

Attempt to propose a research question. This may well be over-ambitious, and in fact you’ll spend your first year (possibly longer) reviewing this, but a PhD is driven by an RQ, often broken down into 2-3 sub-questions. These will run as a “red thread” throughout the whole thesis: everything you do will be tied to these RQs. To help you do this…

What do you think your contribution will be?  In other words, indicate what you think answers to the RQs might look like. This is your first attempt to articulate your potential “contributions to knowledge” — which is what earn you a PhD.

Do you have any idea what a PhD thesis looks like? Before deciding you want to set sail, why not check out the different kinds of PhD I’ve supervised recently, and see what it is you’re promising to deliver? :-). [See also the SoLAR PhD Thesis Hub for more learning analytics PhDs]

Clarity of argument. English may not be your first language, but I’m looking for clarity in your thinking, even if the words are not perfect. However, your thinking will be judged by your writing, so good academic English will be important.

  • There are free resources online now that can help with your academic English, such as Academic Phrasebank.
  • I strongly recommend you take this one hour UTS Open taster, an interactive tutorial on how to write a research abstract.This explains the key building blocks in an archetypal abstract — basically: Why should we care about this topic? What don’t we understand yet? What are you going to do about it? If you make these moves in your proposal, it will have a sound structure. This also enables you to try out AcaWriter, one of the instant feedback tools CIC’s developed, on your own writing.

Apply in time to revise your proposal. Check the deadlines, and ideally, get in touch months ahead to start the conversation, because…

If your proposal has promise, I’ll give feedback. Take this feedback on board, or argue back if you disagree. I’m assessing your readiness to take criticism, as well as your readiness to take a stand.

Clever coding ≠ a PhD. When a technically proficient developer applies, they sometimes think quality = developing some extremely cool functionality. A PhD may well include exciting implementations as a proof of the concept, and as a way to evaluate the idea with stakeholders — but at least in my field, it’s the conceptual contributions advancing the field that count.

Recommended books. 3 books to consider, and note that the first two major on the “non-academic” dimensions of doing a PhD:

Opening: Dispositional Learning Analytics

In joint work with Ruth Deakin Crick and Shaofu Huang at University of Bristol, Rebecca Ferguson and I are developing an approach to modelling learning dispositions, based on the educational research underpinning the ELLI instrument for Learning Power:

Buckingham Shum, S. and Deakin Crick, R., Learning Dispositions and Transferable Competencies: Pedagogy, Modelling and Learning Analytics. Proc. 2nd International Conference on Learning Analytics & Knowledge (Vancouver, 29 Apr-2 May, 2012). ACM: New York. pp.92-101. DOI: http://dx.doi.org/10.1145/2330601.2330629 Eprint: http://oro.open.ac.uk/32823.

See also the LearningEmergence.net blog post and the LAK12 replay

The most recent work on this, which picks up the challenge identified at the end of the above paper, is the question of whether it is possible to generate an ELLI profile automatically from learners’ incidental data traces. Shaofu Huang summarised the concept and work-in-progress on this at a recent SocialLearn symposium.

We now have modest funds available to appoint either a visiting researcher or consultant to work with us on a short, focused project, to design and run the database queries on the SocialLearn platform, which will enable us to begin testing the modelling that we have been doing.

Once you’ve digested the above materials, please contact me if you have the curiosity – and SQL expertise – to work collaboratively with us to take this research forward.

IMPACT Research Fellow, Leeds

Great job going with some of the top people in computer-supported argumentation and e-democracy (collaborative project funded by the European Commission: Fraunhofer, University of Amsterdam, University of Liverpool, and two companies specialising in user interface design (User Interface Design GMBH) and online consultations (Zebralog GmbH & Co KG)…

The Centre for Digital Citizenship, Institute of Communications Studies (ICS)

Research Fellow for IMPACT: Integrated Method for Policy Making Using Argument Modelling and Computer Assisted Text Analysis

Research Fellow: Collective Intelligence Infrastructure

The Open University UK

Research Fellow: Collective Intelligence Infrastructure

The Open University’s Knowledge Media Institute (KMi) invites applications for a 3 year Research Fellowship on Collective Intelligence Infrastructure. This position is in the context of the Open Learning Network (OLnet) – www.olnet.org – a joint project led by the Open University and Carnegie Mellon University, funded by the William and Flora Hewlett Foundation. The Open Educational Resources (OER) movement aims to maximise the impact of free, high quality learning resources. OLnet is charged with building the capacity of researchers and practitioners in the design, deployment and assessment of OER. Specifically, we aim to build a social and technical infrastructure enabling new forms of networked research and scholarship in OER. This is currently conceived in terms of connecting people, mapping debates in key challenges facing the field, facilitating the exchange and evolution of OER design patterns and tools, and building a multimedia evidence-base of OER effectiveness.

This position is for an emerging research leader, able to coordinate with both the UK/US teams, and OLnet’s global partners in developed and developing countries. Your task is challenging: to conceptualise OLnet as a form of collective intelligence, and to architect a CI infrastructure from a human-centred computing perspective. As detailed below, you wish to develop your research profile by applying your expertise in knowledge-building infrastructure to the demanding requirements of the OER movement. This post will also enable you to develop your skills in project management, leadership, dissemination, bid writing and PhD supervision.

The appointment will be made on the Academic Grade AC3 Salary Scales for Research Staff, ranging from £36,532 – £43,622 pa, depending on qualifications and experience. This post will be managed by Dr. Simon Buckingham Shum, one of the OLnet investigators, and leader of the Hypermedia Discourse team in KMi.

KMi is a highly successful interdisciplinary research centre founded at The Open University in 1995, and located in attractive premises at The Open University’s main campus in Milton Keynes, UK. We offer a stimulating environment, widely acknowledged to be at the leading edge of research and development, particularly in semantic web technologies, multimedia and information systems, knowledge modelling and management, new media for learning and sensemaking. KMi is part of the OU’s Centre for Research in Computing, ranked as one of the top 20 research centres in the UK RAE 2008. The style, impact and content of our work can be seen at http://kmi.open.ac.uk

Further Particulars: PDF

Informal queries:

Dr Simon Buckingham Shum
Senior Lecturer in Knowledge Media / SocialLearn Project Director
Knowledge Media Institute, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UK
KMi: +44 (0)1908 655723 | SocialLearn: 332594
Mobile: +44 (0)7947 243986 | Skype: sbskmi
http://people.kmi.open.ac.uk/sbs

Joint PhD with NASA

Human-Agent Collaboration for Distributed Sensemaking and Action

3 year studentship sponsored by NASA Ames Human-Centered Computing group: to be filled as soon as possible:

The Challenge

What will scientific publishing, collaborative modelling, or internet argumentation look like when ideas might be agents, arguments can be monitored, and agents can provide active support to analysts working over time and space? What are the human and computing challenges, how would you investigate them, and how would you validate your work?

We invite candidates to read the linked resources, and write a research proposal following the guidelines.

You are…

…passionate about developing tools for mapping human knowledge, and inventing and understanding new kinds of user experience with software agents. You will have a keen interest in human-centred computing, bringing Java and/or Web programming skills, and a relevant background in one or more of: multi-agent systems, conceptual modelling, argumentation, knowledge engineering, collaboration tools, user interface design, usability evaluation. You will be a team player, capable of working collaboratively at a distance and across timezones, but able to initiate new ideas, and work to agreed objectives.

We’re looking to fill this position as soon as possible, so get in touch if you are interested!…