Summer Internships

A summer internship at Motu will give you valuable hands-on experience in policy-relevant economic research, guided by internationally recognised senior economists from the top ranked economics organisation in NZ and one of the world's top ten economic think tanks (as ranked by RePEc).

Applications for these positions are now closed.

Early each year, Motu seeks applications for several interns to work within one or more of our major research programmes, which include regional and community adjustment, climate change, productivity and innovation, well-being, inequality and infrastructure. We are particularly interested in candidates with excellent grades in econometrics or statistics, who are curious about economic or policy questions and are interested in one or more of our main research areas.

We offer a relaxed yet stimulating work environment where you will be challenged and your skills as a researcher extended.

Summer internships are paid full-time positions that usually run for 8-12 weeks between November and February.

Who are we looking for?

We are looking for smart students who are interested in further study and research. The key characteristics we seek are:

  • intelligence,
  • motivation, and
  • interest in the issues we study.

While we mostly do economic research, we are not necessarily seeking economics students. Students should have a strong background in economics, mathematics, statistics, geography or a similar field. Internships typically last around twelve weeks over the summer months, though this is flexible. Interns work a paid 40 hour week at our Wellington office.

2016/17 recipients

Over the 2016/17 summer Motu had two summer interns, Ben Pearman and Keshav Mahindra. Keshav worked with Isabelle Sin on determining inter-generational mobility using some newly available linked longitudinal census data from Statistics New Zealand. Ben worked with Dean Hyslop to understand some of the relationships between the firms people work for, their marriage patterns, and their employment decisions. He used micro-data from Statistic New Zealand’s Integrated Data Infrastructure (IDI) and Survey of Family, Income, and Employment (SoFIE).