The Government Department seeks applications for a full-time Senior Lecturer in quantitative methods. The appointment is expected to begin on July 1, 2023.
The senior lecturer will be responsible for teaching three courses over the academic year, advising undergraduate senior theses, and helping to administer the undergraduate data science program.
If you would like to know a bit more about this opportunity, or are considering applying, then please read the following job information.
This is a five-year position that is renewable contingent on performance, enrollments, and curricular needs.
Basic Qualifications
Candidates must have demonstrated that they are exceptional teachers and have taught within the tenured associate or full professor ranks at a university or peer undergraduate institution, with a commensurate scholarly record.
They are required to have a Ph.D. in quantitative methods or related discipline.
Additional Qualifications
The position also requires evidence of effective teaching of introductory undergraduate methods courses.
Special Instructions
Please submit the following materials through the ARIeS portal (https : / / academicpositions.harvard.edu). Candidates are encouraged to apply by October 1;
applications will be reviewed until the position is filled.
- A teaching / advising statement that describes the candidate’s philosophy and practices related to undergraduate teaching and advising.
- Statement describing efforts to encourage diversity, inclusion, and belonging, including past, current, and anticipated future contributions in these areas.
- Names and contact information of 3-5 references, who will be asked by a system-generated email to upload a letter of recommendation once the candidate’s application has been submitted.
Three letters of recommendation are required, and the application is considered complete only when at least three letters have been received.
Contact Information
Professor Gary King, Search Committee Chair
Contact Email : [email protected]
Equal Opportunity Employer
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
Minimum Number of References Required
Maximum Number of References Allowed
Keywords
Supplemental Questions
Required fields are indicated with an asterisk (*).
Required Documents
- Curriculum Vitae
- Cover Letter
- Statement of Teaching Philosophy
- Statement of Research
- Diversity, Inclusion, and Belonging Statement
Optional Documents
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