Graduate Student Internship

Periodically, the Archaeometry Laboratory at the University of Missouri Research Reactor Center (MURR) seeks graduate student interns. Two internships are offered: one in the area of compositional studies of ceramics, and one in the area of provenance and/or migration studies using isotopic analyses (Pb and Sr). The laboratory is a world leader in the elemental analyses of archaeological materials by NAA, and now conducts isotopic (Pb and Sr) analyses by MC-ICP-MS. The lab also supports analyses by (LA)-ICP-MS and XRF. The candidates are expected to assist the Archaeometry Lab with ongoing projects as well as pursue their own research interests. The interns will participate in lab activities including sample preparation, analysis, data treatment, and will also have the opportunity to conduct analyses on their own archaeological materials under the supervision of lab mentors. The interns will have access to the analytical techniques available at MURR.

The appointment period is typically 6-8 months and the candidate is expected to maintain residence in Columbia (MO) for the duration of the term. A monthly stipend of $1800 will be provided.

To inquire regarding availability of an internship in compositional analyses, please contact Dr. Brandi Lee MacDonald (macdonaldb@missouri.edu). Application form for compositional analyses.

To inquire regarding availability of an internship in isotopic analyses, please contact Dr. Virginie Renson (rensonv@missouri.edu). Application form for isotope analyses.

Please complete the attached fillable PDF Application Form and submit via email by December 1st, 2018. Preference will be given to candidates who can start in early 2019. The positions will remain open until filled.

Additional information about the Archaeometry Laboratory is available at http://archaeometry.missouri.edu. The University of Missouri is an equal opportunity/access/affirmative action/pro-disabled and veteran employer.

Research performed by the Archaeometry Laboratory at MURR after August 2016 is supported by the National Science Foundation under our current grant number 1621158. Earlier research was supported by several NSF grants including the following: 1415403, 1110793, 8801707, 9102016, 9503035, 9802366, 9977237, 0102325, 0405042, 0504015, 0802757, 0922374, and 0802757. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Last Updated on June 2, 2017
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