Faculty Positions in Statistics

Centre for Sustainable Employment; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Centre for Sustainable Employment invites applications for faculty positions in Statistics at Bengaluru campus. The role involves teaching a range of courses in statistics, data analysis, probability, sampling, and machine learning, across undergraduate and postgraduate programmes.

Candidates should hold an advanced degree in statistics or related fields and have experience in data analysis, survey design, and policy-relevant research.

Qualifications

• Advanced degree in Statistics/ Data Science, Computer Science, Mathematics/ Applied Mathematics, Science and Technology Studies or related areas.
• Work experience in data analysis/ machine learning in a professional field.
• Field experience with survey design/ sampling and statistical analysis of public data.
• Experience in dealing with law, technology and policy.
• Teaching experience is desirable but not mandatory.
• Candidates with interest in and engagement with data analysis in the social sciences are encouraged to apply.

Responsibilities

• Teach statistics and data analysis courses across undergraduate and postgraduate programmes.
• Contribute to curriculum development with emphasis on probability, statistics and data ethics.
• Incorporate data-driven insights to support transparent and responsible social welfare initiatives.

Skills

Probability

Mathematical Stats

Intro Programming

R Programming

ML Basics

Survey Design

Big Data

Data Politics

Systems Thinking

Education

Advanced degree in Statistics/Data Science or related fields

Job description

Inviting Applications for Admissions 2027

Faculty Positions in Statistics

We invite applications for faculty positions in statistics and data analysis.

Location

Bengaluru Campus

Engagement

Full-time

Role

Faculty

Details

The University offers several courses in statistics and data analysis. These courses focus on theoretical and computational aspects, while being mindful of socially informed, humane, sustainable and ethical practices. These are offered across different undergraduate and postgraduate programmes. Our teaching practices and curriculum are informed by the needs of a diverse student body. The Mathematics, Economics, and Information Sciences programmes incorporate a sequence of courses on Probability, Statistics, Data Analysis and associated areas such as Machine Learning, Politics and Ethics of Data, Computational Methods and Responsible Design in their respective curricula. These courses are also core to the Statistics minor and the ‘Data, Democracy and Development’ minor.

We Invite Applications From Candidates Who Can Teach a Minimum Of At Least 4 And Preferably 5 Of The Following Broad Content Areas:

• Probability and Mathematical Statistics at Undergraduate or Postgraduate levels.
• Undergraduate level mathematics and introductory programming courses.
• R programming including web-scraping and visualisation of high dimensional data.
• Essentials of machine learning.
• Sampling and survey design.
• Big data and politics/ Political economy of data and technologies.
• Systems thinking and human centered design.

Requirements

• An advanced degree in Statistics/ Data Science, Computer Science, Mathematics/ Applied Mathematics, Science and Technology Studies or related areas.
• Work experience in data analysis/ machine learning in a professional field.
• Field experience with survey design/ sampling and statistical analysis of public data.
• Experience in dealing with law, technology and policy.
• Teaching experience is desirable but not mandatory.
• Candidates with interest in and engagement with data analysis in the social sciences are encouraged to apply. Any demonstrable evidence of using data driven approaches to improve transparency and accountability of social justice and welfare programmes would be valuable.

For All Admission-related Enquiries:

Call [phone] during office hours

Write to [e-mail]

For Other Enquiries:

Call 080-2441-4000 during office hours