[Eeglablist] PhD position -- computational modeling, EEG, neuroimaging

[Alec Solway]

https://urldefense.com/v3/__http://solwaylab.org/open-positions/__;!!Mih3wA!XQKKsNnggKVRzxhgppTuH5NXhEcHJUg_glYiK54NqxPpLp2IcFHiwtXdz5TlBLT6NiVvAQ$ 

The Computational Cognitive Neuroscience & Psychiatry Lab is planning to
recruit a Ph.D. student in the Fall 2020 cycle (to start Fall 2021).
Students may enter through either the CNS track in the Department of
Psychology <https://urldefense.com/v3/__https://psyc.umd.edu/graduate/apply-admission__;!!Mih3wA!XQKKsNnggKVRzxhgppTuH5NXhEcHJUg_glYiK54NqxPpLp2IcFHiwtXdz5TlBLTNDTBqmA$ > or the Program
in Neuroscience and Cognitive Science
<https://urldefense.com/v3/__https://nacs.umd.edu/landingtopic/general-information__;!!Mih3wA!XQKKsNnggKVRzxhgppTuH5NXhEcHJUg_glYiK54NqxPpLp2IcFHiwtXdz5TlBLS2xdQUPg$ >. The work you do
and your status in the lab will not be affected by which track you choose,
but these programs have different training requirements outside of the lab,
so consider your choice carefully. If you are not sure which track to
pursue, contact Dr. Solway (asolway[at]umd.edu). Because the lab works in
an interdisciplinary field, no candidate will have all of the skills
necessary to complete the type of work we do upon joining the lab. The goal
of graduate school is to learn how to do research and fill in these gaps.
Nevertheless, some background is obviously necessary in order to succeed.
Successful candidates will have experience with some subset of the
following:

   - Programming experiments and performing data analysis in R, Python,
   Matlab, JavaScript, and/or another programming language. Version control,
   e.g. with Subversion, Git, or similar.
   - Modern cognitive/experimental and/or mathematical/computational
   approaches to psychology and cognitive neuroscience. Some exposure to ideas
   and methods in clinical psychology and psychiatry.
   - Analysis of fMRI and/or EEG data with FSL, SPM, AFNI, EEGLAB, and/or
   another analysis package.
   - Basic computer science/engineering math: calculus, linear algebra,
   probability theory, frequentist and Bayesian statistics, time-frequency
   analysis, basic machine learning techniques.

The list above is meant to be fairly general and should not discourage you
from applying, but you should be highly motivated to fill in any gaps in
knowledge during your time here. Candidates are expected to come from
psychology, neuroscience, computer science, statistics, or other scientific
and engineering disciplines. However, your exact undergraduate
concentration/major doesn't matter contingent on having had exposure to
some of the above. This year we are especially interested in students who
want to learn more computational (rather than experimental) techniques,
although you will have an opportunity to engage in a broad range of
projects.

To apply, follow the instructions for the respective program, either
through the Department of Psychology
<https://urldefense.com/v3/__https://psyc.umd.edu/graduate/apply-admission__;!!Mih3wA!XQKKsNnggKVRzxhgppTuH5NXhEcHJUg_glYiK54NqxPpLp2IcFHiwtXdz5TlBLTNDTBqmA$ > or the Program in
Neuroscience and Cognitive Science
<https://urldefense.com/v3/__https://nacs.umd.edu/landingtopic/general-information__;!!Mih3wA!XQKKsNnggKVRzxhgppTuH5NXhEcHJUg_glYiK54NqxPpLp2IcFHiwtXdz5TlBLS2xdQUPg$ >. Be sure that your
research statement addresses how your research interests, experience, and
skill set are aligned with the lab's research mission
<https://urldefense.com/v3/__http://solwaylab.org/research/__;!!Mih3wA!XQKKsNnggKVRzxhgppTuH5NXhEcHJUg_glYiK54NqxPpLp2IcFHiwtXdz5TlBLSFMAyvPA$ >, as well as what your long term goals are
and how you think being a graduate student in the respective program will
help you achieve them.