Being a PhD student: Experiences and ChallengesFaegheh Hasibi
These slides provide some guidance to the prospective PhD students. The content reflects my personal experiences together with useful feedbacks I received from my colleagues/friends.
This stack of slides describes my view on how to work as a PhD student. The presentation was targeted a Ubiquitous Computing audience, but is fairly generic in nature.
Being a PhD student: Experiences and ChallengesFaegheh Hasibi
These slides provide some guidance to the prospective PhD students. The content reflects my personal experiences together with useful feedbacks I received from my colleagues/friends.
This stack of slides describes my view on how to work as a PhD student. The presentation was targeted a Ubiquitous Computing audience, but is fairly generic in nature.
Present presentation contains the draft of PHD progress report of 1st term of PHD @ Maharaja Krishnkumarsinhji Bhavnagar University, Bhavnagar, Gujarat, India.
Seminar given on 20 June, 2012 within the course: La comunicación intercultural euroasiática en las condiciones del proceso de Bolonia from the University of Granada
Dr Peter Meacock gave a talk in the 2007 Careers After Biological Science seminar series on "Doing a PhD". These are his slides (slightly revised in June 2009).
As a researcher, you are expected to start publishing early in your career. But original research could take years to complete! This does not mean you that you cannot publish a paper until you complete your research. You can disseminate your research in many other ways. These slides will help you learn more about the different types of scholarly literature so that you are able to choose the most suitable format for publishing your study.
Here is my progress Report of Term 1 from 29/1/2018 to 29/7/2018. The topic of my research is "Contemporary Retelling of Ramayana; In Search of New Cultural Meaning."
This document is quoted from Academic Writing Skill, IFL, Cambodia. It's for students in year three not only at IFL but also other universities in Cambodia.
The latest version of this presentation can be found here: https://www.slideshare.net/xqin74/how-to-write-research-papers-version-50/edit?src=slideview
Original research articles constitute a major portion of academic journal publishing. These slides will help you with four important steps to of writing an original research article: choosing a research question, doing a literature search, structuring a manuscript, and formatting a research paper.
Juan Cruz-Benito
GRIAL Research Group, Department of Computers and Automatics
University of Salamanca, Salamanca, Spain.
Education in the Knowledge Society PhD programme.
University of Salamanca 7/11/2016
Slides I used in a Research Methodology seminar I gave in 2010 for the Interactive Art PhD at School of Arts of the Portuguese Catholic University, Porto, Portugal (http://artes.ucp.pt)
Howdy! Take a look at this great presentation and find some useful tips on writing research proposal. For more information visit https://www.writingaresearchproposal.com/
Exploiting Entity Linking in Queries For Entity RetrievalFaegheh Hasibi
Slides for the ICTIR 2016 paper: "Exploiting Entity Linking in Queries For Entity Retrieval"
The premise of entity retrieval is to better answer search queries by returning specific entities instead of documents. Many queries mention particular entities; recognizing and linking them to the corresponding entry in a knowledge base is known as the task of entity
linking in queries. In this paper we make a first attempt at bringing together these two, i.e., leveraging entity annotations of queries in the entity retrieval model. We introduce a new probabilistic component and show how it can be applied on top of any term based entity retrieval model that can be emulated in the Markov Random Field framework, including language models, sequential dependence models, as well as their fielded variations. Using a standard entity retrieval test collection, we show that our extension brings consistent improvements over all baseline methods, including the current state-of-the-art. We further show that our extension is robust against parameter settings.
How to get media attention for your startupPress42
How to get media attention for your startup. Do's and don'ts of getting media for your company. How to pitch, build a good story and how to create long lasting relationships with journalists.
Present presentation contains the draft of PHD progress report of 1st term of PHD @ Maharaja Krishnkumarsinhji Bhavnagar University, Bhavnagar, Gujarat, India.
Seminar given on 20 June, 2012 within the course: La comunicación intercultural euroasiática en las condiciones del proceso de Bolonia from the University of Granada
Dr Peter Meacock gave a talk in the 2007 Careers After Biological Science seminar series on "Doing a PhD". These are his slides (slightly revised in June 2009).
As a researcher, you are expected to start publishing early in your career. But original research could take years to complete! This does not mean you that you cannot publish a paper until you complete your research. You can disseminate your research in many other ways. These slides will help you learn more about the different types of scholarly literature so that you are able to choose the most suitable format for publishing your study.
Here is my progress Report of Term 1 from 29/1/2018 to 29/7/2018. The topic of my research is "Contemporary Retelling of Ramayana; In Search of New Cultural Meaning."
This document is quoted from Academic Writing Skill, IFL, Cambodia. It's for students in year three not only at IFL but also other universities in Cambodia.
The latest version of this presentation can be found here: https://www.slideshare.net/xqin74/how-to-write-research-papers-version-50/edit?src=slideview
Original research articles constitute a major portion of academic journal publishing. These slides will help you with four important steps to of writing an original research article: choosing a research question, doing a literature search, structuring a manuscript, and formatting a research paper.
Juan Cruz-Benito
GRIAL Research Group, Department of Computers and Automatics
University of Salamanca, Salamanca, Spain.
Education in the Knowledge Society PhD programme.
University of Salamanca 7/11/2016
Slides I used in a Research Methodology seminar I gave in 2010 for the Interactive Art PhD at School of Arts of the Portuguese Catholic University, Porto, Portugal (http://artes.ucp.pt)
Howdy! Take a look at this great presentation and find some useful tips on writing research proposal. For more information visit https://www.writingaresearchproposal.com/
Exploiting Entity Linking in Queries For Entity RetrievalFaegheh Hasibi
Slides for the ICTIR 2016 paper: "Exploiting Entity Linking in Queries For Entity Retrieval"
The premise of entity retrieval is to better answer search queries by returning specific entities instead of documents. Many queries mention particular entities; recognizing and linking them to the corresponding entry in a knowledge base is known as the task of entity
linking in queries. In this paper we make a first attempt at bringing together these two, i.e., leveraging entity annotations of queries in the entity retrieval model. We introduce a new probabilistic component and show how it can be applied on top of any term based entity retrieval model that can be emulated in the Markov Random Field framework, including language models, sequential dependence models, as well as their fielded variations. Using a standard entity retrieval test collection, we show that our extension brings consistent improvements over all baseline methods, including the current state-of-the-art. We further show that our extension is robust against parameter settings.
How to get media attention for your startupPress42
How to get media attention for your startup. Do's and don'ts of getting media for your company. How to pitch, build a good story and how to create long lasting relationships with journalists.
Node setup, resource, and recipes - Fundamentals Webinar Series Part 2Chef
Part 2 of a 6 part series introducing you to the fundamentals of Chef.
This session includes:
* Node Setup
* Chef Resources and Recipes
After viewing this webinar you will be able to:
- Login to the node in your Chef Training Lab
- Install Chef nodes using "knife bootstrap"
- Explain how knife bootstrap configures a node to use the - Organization created in the previous section
- Explain the basic configuration needed to run chef-client
- Describe in detail what a cookbook is
- Create a new cookbook
- Explain what a recipe is
- Describe how to use the package, service, and template - resources
- Upload a cookbook to the Chef Server
- Explain what a run list is, and how to set it for a node - via knife
- Explain the output of a chef-client run
Video of this webinar can be found at the following URL
https://www.youtube.com/watch?v=S5lHUpzoCYo&list=PL11cZfNdwNyPnZA9D1MbVqldGuOWqbumZ
Tyler Baldwin, Yunyao Li, Bogdan Alexe, Ioana Roxana Stanoi: Automatic Term Ambiguity Detection. ACL (2) 2013: 804-809
Abstract:
While the resolution of term ambiguity is important for information extraction (IE) systems, the cost of resolving each instance of an entity can be prohibitively expensive on large datasets. To combat this, this work looks at ambiguity detection at the term, rather than the instance,
level. By making a judgment about the general ambiguity of a term, a system is able to handle ambiguous and unambiguous cases differently, improving through-put and quality. To address the term ambiguity detection problem, we employ a model that combines data from language models, ontologies, and topic modeling. Results over a dataset of entities from four product domains show that the
proposed approach achieves significantly above baseline F-measure of 0.96.
It is quite often observed that when people use retrieval systems, they do not just search documents or text passages in the first place, but for some information contained inside, which is related to some entities, for instance, person, organization, location, events, time, etc. The goal is to find out various kinds of valuable semantic information about real-world entites embedded in different web pages and databases. But It is a difficult task for us to find out specific or exact information about entities from present search engines. So we need search engines, which will identify our queries across different domains and extract structured information about entities.
Roy Tennant, Senior Program Officer, OCLC Research
As library collections shift from print materials to digital formats, and as the web enables ubiquitous and instantaneous discovery of information, library users expect to find and access materials online. It’s not enough to have pages “on the web”; library data must be “woven into the web” and integrated into the sites and services that library users frequent daily – Google, Wikipedia, social networks. When information about a library’s collection is locked up behind a specific web site (such as an OPAC), it is often exceedingly difficult for services, such as search engines, to consume that data. Information seekers need to be connected back to their local library resources from wherever they are on the web. The imperative is to make library data available in new data formats that are native to the web, exposing it to the wider web community, making it easily discoverable by other sites, services, and ultimately consumers. Roy Tennant will shed light on what linked data is and how to re-envision, expose and share library data as entities that are part of the web.
A Comparison of NER Tools w.r.t. a Domain-Specific VocabularyTimm Heuss
Presentation hold at the SEMANTiCS 2014, in regard of this paper: http://doi.acm.org/10.1145/2660517.2660520
In this paper we compare several state-of-the-art Linked Data Knowledge Extraction tools, with regard to their ability to recognise entities of a controlled, domain-specific vocabulary. This includes tools that offer APIs as a Service, locally installed platforms as well as an UIMA-based approach as reference. We evaluate under realistic conditions, with natural language source texts from keywording experts of the Städel Museum Frankfurt. The goal is to find first hints which tool approach or strategy is more convincing in case of a domain specific tagging/annotation, towards a working solution that is demanded by GLAMs world-wide.
[SIGGRAPH ASIA 2011 Course]How to write a siggraph paperI-Chao Shen
I found this slide on the forum. Thx for the guy that wrote most of the content down for us to review. Hope everyone can learn and think a lot from it!
These are slides that I use to teach our incoming graduate students how to avoid common troubles that graduate students / researchers experience. It is more for Purdue IE students, but most of the advice could be relevant to many graduate students.
Seeking funding for your research project and don't know where to start? Here is a good place. Get introduced to the several funding sources available on campus at UNM and learn helpful strategies to getting your research project funded. This is a presentation developed through the Graduate Resource Center at the University of New Mexico.
This presentation is a Research Paper Guideline where you will find useful information as for writing your Research Paper and will probably bookmark this presentation for your future writings. Additional information you can find here https://essay-academy.com/account/blog/a-research-paper-guidelines
Research and the art of doing what you want !!Satyajeet Raje
This talk was given to students in the third year of their Computer Engineering degree program at the University of Pune, India. It was intended to instill ideas of basic research methodology and that research is not something other-worldly. The message was that they can perform "research" in what they do everyday. The talk was very interactive, encouraging students to clarify their misconceptions about research.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
2. About your Chef
• Undergraduateat Bu-Ali Sina university Iran (top 10 uni, but not top 5)
• PhD at RMIT Australia (2.5 years)
• Senior Applied Researcher at Microsoft (Bing & MSRC)
• Honorary Lecturer at University of Glasgow
@invertedindex
6. What?
What do you like?
What does future look like?
What undergraduate subjects did you well on?
7. Where?
Which universities do related
research?
Rankings are good proxy but
may lie
Faculty ranking matters
more than university ranking
Advisor is more important
than both
Duration, visa requirements
and work permits
12. Believe in yourself…
Work hard on your weaknesses.
Turn them into your strengths.
Follow footsteps of others.
Not a great GPA? Do great on
your Masters project, get a
paper out of it.
13. …and others will start having believing in you!
Get recommendation letters
You are not famous – yet
Your Masters advisor may be
You must be good if
recommended by someone good.
14. Get in touch
• Dear Professor, Dear Sir/Madam
• Explain your previous research
• Explain why you have reached out this particular person/group.
• Professors get many emails like this. Differentiate and show that you care.
18. Your PhD project
• Pick something that your advisor cares about.
• Pick something that you like.
• Pick an area which is not too mature.
• Pick an area which is not too immature.
• Pick an area which is trendy.
• Too trendy: high competition
• Not trendy: less impact and recognition.
• Pick something that you can do.
19. Your advisor
• Pick an advisor which is well-known in the field.
• Junior advisors may spend more time with you but may lack experience.
• Senior advisors may be “too busy”.
• Look how successful their previous students are.
• Get feedback from their current students.
• Learn about their supervision style.
20. PhD probability density function
• Before the peak:
• Lots of reading
• Lots of failing experiments
• At the peak:
• You know your area first paper
• After the peak:
• lots of writing
Time (#years, #semesters)
Reading,Confusion&Stress
Thesis/Funding
deadline
21. PhD Cumulative density function
• You need to start early.
• Don’t waste time in early years.
• At the end of your PhD you’ll
have so many ideas
• Save some time for writing them!
Thesis/Funding
deadline
Time (#years, #semesters)
#papers,Success
22. To get to the peak earlier
• Read
• Read
• Read
• Read
• Read
• Read
• Read
23. Read…
• Identify the top conferences and journals in your field and read as many
papers as you can.
• Identify the top authors in your field and read their papers.
• Follow the citation graph and read the related papers.
• Summarize each paper you read in a few sentences.
• Read critically.
24. Do … take part in regular paper reading
groups, or start your own. Its often much
easier to ask stupid questions when you’re
in a forum run just by students
Filip Radlinski
@firadl
25. if you are targeting a publication in venue
X, read lots of papers from venue X. There
is probably a formula, or at least a set of
community expectations. They might not
be helpful, in various ways, but you should
at least know what they are.
Paul Thomas
@pt_ir
27. Your PhD shelf
• Latex
• Vim, emacs, MS Word
• R, Matlab
• Scripting languages
• IR toolkits: Lemur, Indri, Zettair, Terrier etc.
• Data
• TREC
• Query logs
• Tweets, blogs etc.
28. Bash Scripts Are Your Friend!
• Same pipeline with different parameters and on different datasets.
• Run experiment, compute stat tests, generate plots and latex tables.
29. Baselines
• Identify the state-of-the-art baselines.
• Implement them and make sure that your results
are consistent with published work
• If not, you have to understand why.
• Contact the authors if needed.
• Be fair to your baselines:
• Implement them as carefully as you do your own work.
• Train and tune them with the same data and features
when possible.
30. Developing your ideas
• Start with easy and incremental ones.
• Look into the raw data and to find patterns.
• Run oracle experiments.
• Run tons of experiments.
• Use source control tools.
• Build new testbeds and release them.
31. Don’t shy away from coding.
Get stuck in and make a prototype.
Look to theory to provide an underpinning for your
research, and consider how the empirical research
you are doing fits into this bigger picture
Leif Azzopardi
@leifos
32. Dealing with research problems is
like doing a puzzle. Not only you
have to focus on individual pieces,
but you also need to keep the big
picture in mind.
Maarten de Rijke
@mdr
33. Get feedback
• Talk to as many people as possible about your work.
• Learn how others tackle their problems and compare with yourself.
• You should be able to explain your work to a non-technical person.
• You should be able to convince experts about your work.
34. Don’t give up soon, but fail early
• Things usually don’t work when tried first.
• Go deeper, ask for help and debug.
• Be flexible. If something’s not working & is unlikely to work,
• Then move on.
• Don’t spend too much time on it, no matter how much you’ve already spent.
38. Time to publish
• Start early. If you don’t have a paper, write a poster.
• Doctoral consortiums are great for getting early feedback.
• Collaborate with other – more experienced – students.
• Don’t focus on a single conference only.
• Don’t rush it too much.
• Don’t submit half-baked papers due to time pressure.
• Sometimes it’s worth waiting for a better conference.
39. Proof read your work
• Spelling mistakes are unacceptable.
• Going beyond the page limit is unacceptable.
• Mathematical mistakes in formulas are unacceptable.
• Misrepresenting previous work is unacceptable and unethical.
40. Choosing the right title
• Descriptive: not too short, not too long.
• The reader should be able to guess from title what your work is about.
• Avoid boring titles.
41. Abstract
• First part motivation
• Second part contribution
• Third part summary of the results
• Anyone should be able to describe
your work based on abstract without
having to read the whole paper.
42. Introduction
• Opening paragraphs set the tone.
• Avoid cliché.
• Clearly describe the motivation behind your work.
• What is your signature dish?
• Back it up with examples and screen shots when possible.
• Describe what the reader should expect to find in remaining sections.
43. Related work
• Be comprehensive.
• Group them based on topics.
• Don’t be vague.
• Provide more details for more relevant papers.
• Be clear about their differences compared to your work.
• Avoid self-citation unless really necessary.
• Refer to your previous work in third person.
44. Writing style
• Be consistent
• British vs. American
spelling
• Capitalization
• Tables, Figures,
Captions and
notations
• Be formal
• Don’t use “I”.
• Don’t use “don’t”!
• Don’t use
exclamation mark!!
• Be efficient, do not
rant, do not ramble.
• Define the acronyms
before using them.
45. Tables & figures
• Follow the same style.
• Usually, captions are above tables and below figures.
• Avoid short captions. Ideally, the text in the caption should be enough
for the reader to understand the figure (or table).
• Legends, axes and labels should be easily readable.
• Plots should still be clear on a black and white print.
• Do you need error bars or statistical significance tests?
46. Results
• When possible report results on publicallyavailable datasets
• Explain the features clearly.
• Explain which features were most effective.
• Failure analysis is key, don’t just report numbers.
• Compare with state-of-the-art.
47. Acknowledge whoever has helped
• Leif Azzopardi
• Peter Bailey (check his SIGIR tips on twitter)
• Bodo Billerbeck
• Nick Craswell
• Maarten de Rijke
• Vanessa Murdock
• Kira Radinsky
• Filip Radlinski
• Paul Thomas
• Vishwa Vinay
• Justin Zobel (check his book on “writing for computer science”).
I’m grateful to the following Chefs in alphabetical order,
48. Get your paper proof-read by others
• If something’s confusing for proof-readers it could be confusing for
reviewers too.
• Your first papers will come back with lots of comments.
• Don’t worry, you’re not the only one.
• It gets better as you write more.
49. Don’t leave things to last minute
• Plan in advance.
• Get the first draft ready & iterate.
50. It probably will be last minute anyway…
• Some things will be out of your control.
• You may not get so much sleep for a few days – be prepared.
• Set your clocks to Samoan time!
53. You’re not done yet…
• You’re expected to address the issues raised by the reviewers.
• Take the feedback seriously but not personally.
• Appreciate them and improve your work.
• In cases where you have to address them in a letter:
• Make sure you have understood the points & be polite.
55. Presenting your work
• Get inspired by watching great speakers.
• Wear comfortablebut not too informal.
• Practice your talk but not memorize it.
• Don’t read from your notes.
• Open with interesting slides.
• “Outline slides” are often boring.
phdcomics.com
56. Presenting your work (cont’d)
• Dense slides are confusing.
• Minimize text, equations and animations
• Speak clearly and don’t rush your words.
• Make sure people at the back can see and hear you.
• Don’t skip too much.
• Finish on time.
• Thank the audience.
57. Handling questions
• Don’t panic.
• You know your work better than anyone else.
• Don’t get angry and don’t take it personally.
• Make sure you understood the question.
• Don’t get into long arguments.
• Have the courage to admit mistakes and shortcomings.
59. www.theinternshipmovie.com/
• Learn more about industry research.
• Experience a competitive job interview.
• Work on something different.
• Meet and work with new people.
60. Collaborate like crazy, and broaden your academic
network: Discover if there are opportunities to
spend part of your PhD in another university,
working with another research group. There may be
funding or scholarships, plus it’s a great way to see
the world and experience life in a different
environment
Peter Bailey
@peter_r_bailey
61. Get a life!
• PhD is not your life.
• “Healthy brain lives in a healthy body” – Persian idiom
• Regularly take some time off to do something else.
• If you ignore people around you, they’ll start doing the same after a while.
62. Frustration
• We’ve all been there…
• Remember, “If we knew what we were doing it wouldn’t be called
research” – (Albert Einstein)
Photo suggestedby Leif Azzopardi
• Consult with others.
• Ignore negative comments about slow progress.
• Don’t panic if others have published more.
• You can’t compare fields.
• Quantity does not matter.
63. When stuck on an experiment try writing it up – this
will be needed for publication anyway (even though
it may be only an early draft), but it might make it
much more clearly to you what you are trying to do,
and what the way forward is; it also allows you to
more clearly communicate your work to others and
may facilitatefeedback from others.
Bodo Billerbeck
@bodobop
64. Take charge
• Look, let’s be very clear:
• It’s your PhD
• It’s your life
• … and your advisor does not care as much as you think about you!
66. Writing your thesis
• Start writing early, otherwise
• It gets harder, and you may forget/lose things.
• Resist running more experiments unless really
essential.
• Get multiple people proof read & iterate.
• Proof read reversely at least once starting
from the last chapter.
67. Enough is Enough!
• Don’t be a perfectionist.
• If you really miss it you can always do a post-doc.
• Don’t forget that:
• You are getting older.
• There’s more to learn – $and to earn$ – out there.
68. The PhD is not the greatest work of your life – it is a
proof of concept that you are capableof doing a project
of that scale mostly by yourself, so that when you leave
school and are working in a team of people, it is clear
that you will have a contribution. The important part is
to complete it and move on without delay, to get to
more interesting work. (From Bruce Croft.)
Vanessa Murdock
@vanessa_murdock