Two related summer projects are available at the intersection of linguistics and networks/graphs.
Position 1: Focused on linguistic data preparation with some work on graphs of lexical networks. 8-10 weeks starting June or July.
Position 2: Focused on graph/network analysis with application to both Lexical networks and Social networks. 8 weeks to be completed in May - July.
The deadlines are both April 20.
Detailed descriptions can be found below.
A summer internship at the University of Edinburgh is available for 8-10 weeks starting June or July 2014, and paying £220/week. The intern will be responsible for linguistic data preparation for an interdisciplinary research project involving researchers in Informatics and Linguistics studying the network properties of the mental lexicon in children and adults. The intern will be supervised by Dr. Sharon Goldwater from the School of Informatics.
Applications:
The application deadline is April 20th 2014.
To apply, please send your CV and transcripts to Sharon Goldwater: http://www.inf.ed.ac.uk/people/staff/Sharon_Goldwater.html in an email with subject ‘mental lexicon summer internship’. Your email should also indicate that you have a right to work in the UK (which will need to be verified before appointment).
If not already included in your CV, please also include a brief description of your programming experience (i.e., what scripts or programs have you written? A few sentences or bullet points describing what you did for any major class or extracurricular project should be sufficient; or if you don’t have a single large project, describe some of the coursework excercises you have done and what skills were involved.)
The desired candidate profile can be found below.
Education/Experience: Student must have completed the first two years of required courses for a degree in linguistics (although the student could be studying for a degree in a related field, such as cognitive science, psychology, or informatics).
Essential skills:
Experience with Python programs/scripts for processing text files (e.g., use of regular expressions, basic functions and data structures)
Basic probability theory
A solid understanding of introductory phonology (phonemes and allophones, phonological rules, and distinctive feature theory)
Practical problem-solving skills
Ability to communicate effectively
Additional desirable (but not essential) skills:
Working knowledge of German, Dutch, French, Japanese, and/or Cantonese
Background in child language acquisition and/or psycholinguistics
Experience working with linguistic corpus data, esp. pronunciation dictionaries (e.g., CELEX, CMU) or data from the CHILDES database.
Personal Profile: Enthusiastic and self-motivated undergraduate or masters student with a desire to put their linguistic and programming skills to work as part of a research project at the University.
A summer internship at the University of Edinburgh is available for 8 weeks in June-July, and paying approximately £1000 per month. The intern will be responsible for data preparation and preliminary experiments for interdisciplinary research on complex networks. Immediate areas of interest are social networks and lexical networks (networks of words). The intern will be supervised by Dr. Rik Sarkar from the School of Informatics.
Application deadline: April 20th 2014
This work will be carried out in parallel with another related internship.
To apply, please send your CV and transcripts to Rik Sarkar: http://www.inf.ed.ac.uk/people/staff/Rik_Sarkar.html in an email with subject ‘networks summer internship’. Your email should also indicate that you have a right to work in the UK (which will need to be verified before appointment)
If not already included in your CV, please also include a brief description of your most interesting/relevant programming experiences.
The desired candidate profile can be found below.
Education/Experience Students must have completed two years or more for a degree in Informatics (computer science) or linguistics (although the student could be studying for a degree in a related field, such as electrical engineering, cognitive science, psychology).
Essential skills:
Experience with Python programs/scripts for processing text files
Knowledge of algorithms, data structures and graphs
Problem solving and communication
Additional skills that may be beneficial:
Knowledge of Linguistics, NLP, psycholinguistics, linguistic databases etc
Knowledge of social networks, computer networks or other complex networks
Knowledge of other languages, particularly: German, Dutch, French, Japanese, and/or Cantonese
Personal Profile Enthusiastic and self-motivated undergraduate or masters student with a desire to put their programming and algorithmic skills to work as part of a research project at the University.