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Mer­ca­tor Rese­arch Insti­tute on Glo­bal Com­mons and Cli­mate Change (MCC) gGmbH

About MCC
MCC was foun­ded in 2012 by Stif­tung Mer­cator and Pots­dam Insti­tute for Cli­mate Impact Research (PIK) and we are affil­i­ated with Tech­nical Uni­versity Ber­lin since 2014. MCC has seven work­ing groups which addresses the grand chal­lenges of cli­mate change and of gov­ern­ing the global com­mons. Our research is rooted in the social sci­ences, primar­ily in eco­nom­ics. We provide sci­entific policy advice and aim to identify policy-rel­ev­ant solu­tions. Cooper­a­tion with high-pro­file inter­na­tional part­ner organ­iz­a­tions provides a net­work of excel­lence which fosters high qual­ity research at MCC. Within a few years, MCC has estab­lished itself prom­in­ently in the cli­mate policy research land­scape, ranked as No. 1 among European cli­mate think tanks.
For more inform­a­tion about MCC, please visit

Stu­dent Assist­ant

Work­ing field:

The Mer­cator Research Insti­tute on Global Com­mons and Cli­mate Change (MCC) in Ber­lin is look­ing for a research assist­ant to sup­port an excit­ing sci­entific pro­ject that eval­u­ates causal effects of policies sup­port­ing the elec­tric vehicle revolu­tion. To this end, we com­bine big data with rig­or­ous eco­no­met­ric pro­gram eval­u­ation. Our goal is to find policy solu­tions that effect­ively foster socially inclus­ive and sus­tain­able mobil­ity.


Your tasks:
  • pre­pare rich data sets such as GPS move­ment data (big data) or admin­is­trat­ive microdata
  • get involved with pro­gram­ming and eco­no­met­ric mod­el­ing
  • visu­al­ize data
  • pre­pare your mas­ter thesis (optional, but desir­able)

The ideal can­did­ate
  • has exper­i­ence work­ing with large data
  • has strong pro­gram­ming skills, ideally with R (altern­at­ively Stata)
  • has a strong interest in eco­no­met­rics and quasi-exper­i­mental meth­ods
  • has interest in or exper­i­ence with machine learn­ing
  • has interest in or know­ledge of Geo­spa­tial Inform­a­tion Sys­tems (GIS)
  • enjoys work­ing with oth­ers in a cooper­at­ive envir­on­ment

What we of­fer:

We offer:
  • a pleas­ant work atmo­sphere with inter­est­ing and sup­port­ive col­leagues
  • mean­ing­ful involve­ment in a research pro­ject of imme­di­ate policy rel­ev­ance
  • access to high-per­form­ance cluster com­puters (e.g. for machine learn­ing applic­a­tions)
  • per­fect con­di­tions for the pre­par­a­tion of a Mas­ter thesis
  • flex­ible work hours / 12.50 € per hour (gross)
  • a cent­rally loc­ated work­place in Ber­lin, calm and cre­at­ive

How to ap­ply:

The pos­i­tion is ini­tially lim­ited to 6 months, with at least 40 hours per month. Exten­sion of con­tract is pos­sible. For fur­ther enquir­ies, do not hes­it­ate to con­tact We will review applic­a­tions from 25th Novem­ber 2019 until the pos­i­tion is filled. Please send a short CV and a let­ter of motiv­a­tion by email to:
Dr. Nic­olas Koch,