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Life after PhD
An insight and a few tips to kick-start
your career in the industry.
Malinda Kapuruge
Hi,
• PhD at Swinburne (2008 – 2012)
• Postdoc (2012 - 2013)
• Now a Consultant at DiUS Computing
2004 2008 2014
Acedemia (~ 5 yrs)
The contents are based on
my experience.
May/may not be applicable
to others.
Industry vs Academia
Financial
Flexibility
Ownership
Team culture
Work-life balance
And the Winner is …
The Parameters !
As a researcher,
• What skills do I need in order to kick start your
career in industry?
– Transferable skills
– Extra skills
Transferable skills
Critical thinking
Data management
Perseverance
Report writing
Self-motivated
Time management
A doctoral thesis
• Not just yet another book
• A process
• You will be transformed
• You will acquire those transferable skills
How about extra skills …?
What it like to be a SE consultant?
• Short gigs
• Newt tech, processes, people (& coffee shops)
• Technical spikes / feasibility studies
• Learn fast and move quickly
• Mentoring existing staff
• Polyglots
• Bench time
Team composition
DEVs QA UX PM
Rituals
[ Daily ] Standups Retrospective
Sprint
Kickoffs
Extra skills
• Communication
• Networking
• Understanding the “customer problem”
• Ability to add value from day 1
• The Software Engineer mentality
Code !
Code !!
Code !!!
Thinking performance
Thinking scalability
Master the CLI
Develop good S.E. habits
Practice TDD
Write
Test
Write
code
Refactor
Start
Learn Agile
Be aware of trends
• Big data
• Internet of things
• Flying robots
• Scripting languages
Technical meetups
• Small groups
• Like-minded
• Various roles / organizations
• Mutual benefits
• Quick feedback
• Interactive
.com
Open-source projects
• Visibility
• Communication
• Something Tangible
• Free testers / contributors ;-)
Join a good organization
• That value your research skills
• That promote learning
• The size does not matter
• But the culture is
culture
Brown Bags
• Lunch time - every Tuesday
• Free lunch ;-)
• Fun ! and social !!
• Someone participated a conference
• To pitch a crazy idea
• Invited talks
Special Interest Groups (SIGs)
• Similar to a technical meetups
• Focused groups to improve technical skills
– E.g., IoT, Cloud, UX
Hack days
• Twice a year
• Paid to go NUTS !!
Some interesting projects…
Intelligentli
To upload and monitor your sensor readings as
annotated time series data, e.g., geo locations, tags
E.g., sample demos:
https://smokealert.intelligent.li/
https://livevu.intelligent.li/
Pact framework
• Integration Tests are a Scam – J.B. Rainsberger
• Unit testing for Micro services
• Consumer driven contracts
• DSL
• Available in Ruby/JVM/JS
Aerial sensing
Life after PhD - An insight and a few tips to kick-start your career in the industry
Life after PhD - An insight and a few tips to kick-start your career in the industry

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Life after PhD - An insight and a few tips to kick-start your career in the industry

Editor's Notes

  1. Many advices on the web. More often than not from North America. But we have different PhD program here. - Software culture is more or less the same.
  2. Chose your parameters wisely
  3. Common skills that you may already have and will be useful for a career in industry Extra skills that need to be added.
  4. At least this is the way people from industry will look at you. So you have an edge There are certain advertisements look for PhDs (or even drop-outs)
  5. The way you think, analyze, write will be transformed
  6. What I call them are power tools
  7. Agile vs Waterfall methodology
  8. Communication is vital. Both verbal and written Look for networking opportunities ( I will come to this later on how) Add value form the Day1:Training for the job is a thing in the past
  9. You can polish your resume, master the art of facing interview to get that job. But you need to build the SE mentality to survive. Here are some tips !
  10. There is no other way to be a good SE rather than writing code. Do not be afraid to break things. Write programs for your work, colleagues' work, your neighbor, in-laws Learn a language and master it. Maintainability – No afraid to refactor Learn alternative techniques. Compare.
  11. Note: Mobile software development
  12. Cannot emphasize enough the importance of this More often than history you will be working on a remote machine. AWS EC2 instance. Your peer will admire your… ;-)
  13. Use tools, automate everything save time Test driven development Appreciate others work Contribute
  14. Refactor until the tests become GREEN !
  15. Multiple sprints OR iterations Read about Kanban, Scrum No need to be a master. But learn the basics. Usually a team practices and adopted methodology that best fits the requirement.
  16. Big data -> Event streaming architecture Javascript -> Node JS + Testing
  17. Different to conferences. Meet often, quick feedback cycle. Mutual benefits: A solution architect participating to keep his knowledge up-to-date may find the developer that he was looking for. Interactive: Discussion over Pizza and Beer (FREE) I used to talk about my research to get feedback. It worked! Sort of !! Low risk opportunities
  18. Open a gitHub account if not already and start pushing your code.
  19. Do they promote learning
  20. Have offices in both Sydney and Melbourne A technical company Mainly customer focused Have few ongoing research projects
  21. Discuss technical challenges encountered while working, e.g., UNIT testing for microservices Common problems in a specific area, e.g., SSH issue. New products e.g., Data mining tools, Event streams
  22. Team-up Own ideas Prototyping
  23. Unfortunately I can not talk about the client project due to NDA Here are some bench time projects…
  24. Sensors are readers as first class entities Event streams and publish-subscribe model Inbuilt features to tag geo-locations and tags
  25. When an integration test is broken, who knows what’s broken? Pact is shared between the consumer and the provider.
  26. Testing with Pacts compared to integration tests -Fast execution (no network overhead) -Reliable tests -Easily locate the broken service -No need a separate integration test environment
  27. Photosynthesis images are captured via a drone to detect any anomalies in vegetation Large vineyards Aerial view with drones