In addition to applying online at umjobs.org by uploading only your resume, please send a letter of interest that describes your qualifications and reasons for interest in this position, along with your CV, two representative publications, and the contact information for three references to email@example.com with the subject line POSTDOC. In your letter be sure to indicate your interest in the scholarly exploration of Data Science Education explicitly, even if your experience in researching Data Science Education is limited. The application review process will begin May 15 will be reviewed on a rolling basis until the position is filled.
The postdoctoral research fellow will engage in both collaborative, directect, and self-directed research to develop next-generation teaching and learning environments for data science. It is expected that the fellow would employ methods from one or more fields including Human Computer Interaction (HCI), Data Science, Learning Analytics, or Educational Data Mining (EDM), and would look at data sources including log files from educational technologies (e.g. LMSs such as Coursera or Canvas), text created through student discourse and assignments (e.g. essays, discussions), student information systems (e.g. student registration & applications), and self reported measures (e.g. surveys), and data science toolkits (e.g. Jupyter notebooks). Important duties might include research and development of predictive models and accompanying software applications; design and implementation of experiments and/or user studies, data collection and analysis; and participating in scholarly dissemination of results through publication and presentations. The postdoctoral research fellow will work both within a team with students, other postdocs, and faculty, and a high level of independence and self motivation is required. This full-time position would be a one-year appointment, with the possibility of an additional year extension pending funding, availability of work, and satisfactory performance. The position salary will be $55,000-$65,000 plus benefits (health) per annum depending upon qualifications.
The ideal candidate will have a Ph.D. in Computer Science, Data Science, Information, HCI, or a related field. A background in any/all of the following should be stressed in application materials: data mining and machine learning; data science or computer science teaching, learning, and education; HCI, infoviz, or collaboration, learning analytics, educational data mining, or artificial intelligence in education, and software engineering/software development. Excellent scientific writing skills are required, and previous supervisory experience and effective project management skills are an asset. An understanding of the US higher education system would be beneficial, and the candidate should have a passion for applied research in this domain.
Applicants should have experience leading and publishing independent research projects. While there is no major teaching or service requirement, the fellow will be expected to participate in teaching, networking, and mentoring activities including giving lectures in courses, participation in research groups, presenting work at conferences, and advising undergraduate or graduate students. This Postdoctoral Fellowship is designed to support the applicant towards advancing their career via mentorship and collaboration.
PhD successfully defended by start date
PhD in Information, Computer Science, Data Science, or other related field
Experience conducting and publishing research in academic venues
Interest in studying Data Science Education
Software development and programming skills
Experiment design and analysis skills
Design and analysis of behavioral or technological interventions
The target start date is September 3, 2019. Start date and length can be flexible and should be discussed during the application process.
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Applications will be considered until the position is filled.
The University of Michigan is an equal opportunity/affirmative action employer.
Internal Number: 172582
About University of Michigan - Ann Arbor
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.