¡Activa las notificaciones laborales por email!
A leading educational institution in research is seeking candidates for fully funded PhD positions in Statistics. The positions, based in Germany and Spain, involve developing innovative statistical methodologies. Candidates should have a Master's or Bachelor's degree in Mathematics or Statistics. Competitive salaries and research funding are provided, with a preferred start date in January 2025.
Universidad Carlos III de Madrid and Karlsruhe Institute of Technology
Organisation / CompanyUniversidad Carlos III de Madrid and Karlsruhe Institute of Technology
DepartmentDepartment of Statistics
Research Field
Mathematics » Statistics
Mathematics » Probability theory
Researcher ProfileFirst Stage Researcher (R1)
PositionsPhD Positions
CountrySpain
Application Deadline15 Nov 2025 - 12 :
00 (Europe / Madrid)
Type of ContractTemporary
Job StatusFull-time
Offer Starting Date1 Jan 2025
FundingOther EU programme
DescriptionThe 'Stein-based goodness-of-fit TEsts for Non-Euclidean Data' (STENED) project seeks to hire two fully-funded PhD fellows expected to start in January 2025 (preferably) or June 2025 at the latest. One PhD position is offered at KIT, and another at UC3M. The project aims to develop statistical and computational methods using Stein's method for non-Euclidean supports, funded through the 'AEI-DFG Call for Joint Spanish-German Research Projects'.
Locations :
Karlsruhe, Germany, at the Institute for Stochastics, and Leganés, Madrid, Spain, at the Department of Statistics.
We offer :
Two 3-year PhD contracts, with a possibility of an additional year extension.
Competitive salaries :
41,000 / year at KIT, €21,000 / year at UC3M.
Funding for research stays at KIT, UC3M, and other universities.
An engaging environment with motivated PhD students.
Candidate requirements :
Master in Mathematics, Statistics, or comparable studies (or completion in 2024 / 2025).
Bachelor in Mathematics, Statistics, or comparable studies.
Outstanding academic record.
High motivation.
Application process :
Send CV, academic records, motivation letter, and two referrers to the provided email before 15 November 2024. Shortlisted candidates will be interviewed online.
We welcome applicants of all backgrounds and aim for gender balance. Female applicants are encouraged to apply.
J-18808-Ljbffr