News

We are actively looking for motivated and talented minds. If you are a SNU student and interested in an internship opportunity in the lab, you must take the Psych undergraduate course "Data Science of Human Neuroimaging" and show your motivation and ability to learn. Then, send me your brief research statement in English with your CV and transcript. We will arrange an interview with you. 

If you are a SNU Psych or Brain-Mind-Behavior student, you can do a research internship to get a research credit (뇌-마음-행동 개별 연구, "심리학과 개별 연구 [to be available soon]"). Please note that either successful completion of "Data Science of Human Neuroimaging" or completion of Connectome Lab Data Science Practice is required. This requirement is to let you prepared for meaningful research. Once your research course is done, if you want to extend your internship, we can discuss the possibilities. 

If you are a student outside of SNU (you are more than welcome of course!), we require completion of Connectome Lab Data Science Practice. You should send your final report of the data science practice, CV, research statement, and transcript. 

Undergradute internship is voluntary and unpaid. A few students transition to paid RAship; this involves non-trival responsibility, dedication, and competency. 

We are most interested in students with:

1. Intent to apply for the graduate programs (Dept of Psychology, Brain and Cognitive Sciences, Graduate Program of AI) in the SNU Connectome Lab

2. great personality: self-motivated, curious, proactive, tenacious, flexible, mature, and independent

3. Scholarship: observational, reasoning, critical, experimentation, creative, and communicative

4. Teamwork spirit: kind, amicable, generous, collaborative, and contributing.

Plus, below are additional expectations:

-Candidates with backgrounds in Psychology, Education, or any other Arts and Sciences will be welcome--if they are equipped with some skill sets of data science including programming (Python or R) and statistics. If there are no prior experiences in the quantitative data analysis, we expect the highest level of non-quantitative science backgrounds (eg, biology, medicine, or other arts and sciences).

-Candidates with quantitative science backgrounds (computer science, statistics, physics, or engineering) will be welcome--if they can effectively show their interest in human neurosciences and psychology.

Winter/Spring Internship of Data Science in Neuroscience 

Application open

The SNU Connectome Lab in the Department of Psychology at Seoul National University (https://sites.google.com/connectomelab.net/snu) is now accepting applications for Winter/Spring internships for Data Science in Neuroscience. This research opportunity is for those who have strong interests in data science and its application to human neuroscience and medicine.

We are interested in computational learning  for scientific discovery from complex genomic, brain, cognitive, and behavioral data in humans. We emphasize the utility and salience of the knowledge; these qualities should be evaluated by testing the extent to which the knowledge is predictive of the outcomes that matter to the human society. When certain representations of data (e.g., neuroimaging) predicts an important outcome (eg, responses to drugs in patients), the results are useful and salient. 

Our primary data of interest is brain imaging and genomics. Our outcomes of interest are cognitive, behavioral, psychological, developmental, and health outcomes. 

The purpose of the internship is:

• to offer hands-on experience to address real life problems in human neuroscience and psychology by means of data science 

• for us to see potential fit of the interns to our laboratory

Example short-term tasks for the internship: 

• computational learning  (e.g., ML, DNN) for predictive modeling in youth and elders with clinical, psychological, cognitive outcomes

• representational transfer learning of human brain connectomes 

• gene-brain-behavior relationship and gene-by-environment interactions across the spectrum of phenomes

SNU undergraduate students may apply for "학생자율연구 세미나" @ 서울대학교 기초교육원. 공지사항 참조 (2020.12.11 금 까지 자율연구 지원해야 함)

Previous interns have not only learned human neuroscience and data science, but also successfully produced deliverables, such as peer-reviewed publications and international conference abstracts.

We are most interested in students with:

1. Intent to apply for the graduate programs (Dept of Psychology, Brain and Cognitive Sciences) in the SNU Connectome Lab

2. great personality: self-motivated, curious, proactive, tenacious, flexible, mature, and independent

3. Scholarship: observational, reasoning, critical, experimentation, creative, and communicative

4. Teamwork spirit: kind, amicable, generous, collaborative, and contributing.

Plus, below are additional expectations:

-Candidates with backgrounds of Psychology, Education, or any other Arts and Sciences will be welcome--if they are equipped with some skill sets of data science including programming (Python or R) and statistics. If there are no prior experiences of the quantitative data analysis, we expect the highest level of non-quantitative science backgrounds (eg, biology, medicine, or other arts and sciences)

-Candidates with quantitative science backgrounds (computer science, statistics, physics, or other engineering) will be welcome--if they show a high degree of interest in human neuroscience.

• Duration of internship: January 4th - June 18th, 2020 (24 weeks)

• Commitment: full time during Winter break and part time in Spring semester (10 hours/week or more)

• Stipend: not available for now

If interested in, please 1) complete this online application: link

                                                   2) contact us with your statement of interests (in English) and CV via email: application@connectomelab.net

Applications will be reviewed on a rolling basis until early December