For PhD students
If I join PBL for a PhD what can I expect to work on?
Although my primary interest lies in population dynamics and experimental evolution, my students are free to work on whatever they please, provided they fulfill certain conditions as outlined below:
I am open to working on any problem in the broad field of ecology and evolution, as long as it is interesting. This means that I plan to give full freedom to my students to choose problem(s)/ model system(s)/ methodologies, provided:
the problem is interesting (in my view), and
lies within the broad framework of ecology and evolution, and
the proposed work is feasible, given the different practical constraints in the lab.
In case the student is unable to think of a suitable problem within a reasonable time-frame, I would help him/her to choose a problem of mutual interest. The issues addressed in the lab keep on changing and currently include the ones listed on the Research page.
Apart from skills in handling the model organism, our kind of work demands some degree of proficiency in statistics and (if needed) computer programming. I am aware that a biology education in India has probably prepared you for neither. Therefore, IISER faculty members, including me, offer a number of courses that are designed to make you familiar with the various tools needed for research in ecology and evolution, assuming no prior exposure to mathematics after class XII, or programming. This also means that I do not care about your masters background, as long as you are enthusiastic about doing something in ecology and evolution.
The other important feature of the lab is an almost equal emphasis on theory and experiments. Simply put, any PBL member is expected to be proficient in both.
How to join PBL for a PhD?
Look here for more details.
What kind of an interview will I face? What are you looking for in a prospective candidate?
All students who wish to work with me are expected to be familiar with the topics mentioned below. Look them up in basic text books / internet if you need to brush up your memory before the interviews. Essentially this is the syllabus for the interview:
1. Basic mathematics and statistics
basic concepts in probability (e.g. independence, mutual exclusivity etc.)
basic statistics: mean, standard deviation, confidence interval, standard error, statistical significance (p- or α- value; applied to difference between 2 measured means), etc.
simple functions: e.g. linear, quadratic, exponential, logarithmic, normal (bell) curve
areas of standard shapes, volumes of standard solids; units of measurement; conversion between units
2. Basics of evolution and ecology
Darwinian theory
Basic Mendelian genetics
Basic population genetics (Hardy-Weinberg, Genetic drift, Inbreeding)
Basic population dynamics models (logistic, Lotka-Volterra prey-predation and competition model)
Basic logic of conservation biology
3. A topic of your choice from your Masters – (thoroughly!) to evaluate your ability to grasp a subject in depth
4. Your masters thesis – thoroughly!
overview of the basic idea and objectives
methodology - with focus on why you did what you did
instruments: underlying principles, method of use, actual measurements and derived quantities
results (including statistical significance of the same)
shortcomings, suggested improvements, future lines of work
5. Why do you want to join my research group (beyond "I like ecology/evolution")
Other things to note
Prior experience in programming will help, though not essential (MS Word and Google Chrome do not count as programming experience).
The focus of the interview will be on your ability to think and learn, and motivation to carry out a research project. We shall try to ask you certain questions whose answers you are not expected to know. What we are interested in is not the correct answer, but your efforts to arrive at a good solution. Since we want to know how you reason out things, it might be a good idea to think aloud so that we know the way you are thinking.
Any lab/mathematical/computational skills (e.g. experience in handling lab systems like Drosophila, programming experience in MATLAB, etc.) are a plus but if you are basing your application on such a skill you will be quizzed in depth on it (as in item 3). However, if your knowledge is rudimentary, it might be better not to emphasize them during the interviews and instead focus on topics that you are really familiar with.