463

Inspiria Knowledge Campus

Siliguri

On-site

INR 600,000 - 1,200,000

Full time

14 days+
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Job summary

Zohorecruit in India is seeking an Assistant Professor of Statistics to teach our B.Sc. Statistics and allied undergraduate programs. The candidate will focus on building strong foundational knowledge in students, aligning with the MAKAUT (Non-AICTE) curriculum and UGC norms.

This role is ideal for an educator passionate about undergraduate mentorship and practical statistical application. It is a Full-Time / Permanent post focused on academic excellence and student development.

Qualifications

  • Master’s degree in Statistics or Applied Statistics with a minimum of 55% marks from a recognized university.
  • Experience teaching statistics at undergraduate level is desirable.

Responsibilities

  • Deliver lectures on UG subjects including Descriptive Statistics, Probability Theory, Statistical Inference, and Sampling Distributions.
  • Supervise practical sessions using MS Excel, R and Python to help students apply concepts to real datasets.
  • Provide academic counseling to UG students and supervise minor projects or field-based surveys.
  • Maintain MAKAUT diaries, lesson plans, and attendance records as per MAKAUT standards (NAAC/SAR).
  • Assist in internal assessments, university practical exams, and evaluation of semester scripts.

Skills

Descriptive Statistics
Probability Theory
Sampling Distributions
Statistical Inference
Linear Algebra
Calculus
ANOVA
CRD
RBD
Time Series Analysis
Index Numbers

Education

M.Sc. in Statistics or Applied Statistics

Tools

MS Excel
R
Python

Job description

Master’s Degree: M.Sc. in Statistics or Applied Statistics with a minimum of 55% marks (or equivalent grade) from a recognized university.

Job Description
Job Summary

We are seeking a dynamic and qualified Assistant Professor of Statistics to teach our B.Sc. Statistics and allied undergraduate programs. The candidate will focus on building strong foundational knowledge in students, aligning with the MAKAUT (Non-AICTE) curriculum and UGC norms. This role is ideal for an educator passionate about undergraduate mentorship and practical statistical application.

Employment Type: Full-Time / Permanent

Department: Department of Statistics / Basic Sciences

Level: Undergraduate (UG)

Key Responsibilities
  • Core Teaching: Deliver lectures on UG subjects including Descriptive Statistics, Probability Theory, Statistical Inference, and Sampling Distributions.
  • Practical Lab Supervision: Conduct practical sessions using software like MS Excel, R, and Python, ensuring students can apply theoretical concepts to real datasets.
  • Student Mentoring: Provide academic counseling to UG students and supervise minor projects or field-based surveys.
  • MAKAUT Compliance: Maintain academic diaries, lesson plans, and attendance records as per MAKAUT inspection standards (NAAC/SAR).
  • Exam Coordination: Assist in internal assessments, university practical exams, and the evaluation of semester answer scripts.
Requirements
Core Skill Set & Competencies
  • Theoretical Foundations: Mastery in Descriptive Statistics, Probability Theory, Sampling Distributions, and Statistical Inference (Estimation & Hypothesis Testing).
  • Applied Mathematics: Proficiency in Linear Algebra and Calculus as applied to Undergraduate Statistics.
  • Design of Experiments: Ability to teach ANOVA, Completely Randomized Design (CRD), and Randomized Block Design (RBD).
  • Economic Statistics: Knowledge of Index Numbers and Time Series Analysis.
Skill set

Core Skill Set & Competencies1. Academic & Subject Expertise (UG Focus)Theoretical Foundations: Mastery in Descriptive Statistics, Probability Theory, Sampling Distributions, and Statistical Inference (Estimation & Hypothesis Testing).Applied Mathematics: Proficiency in Linear Algebra and Calculus as applied to Undergraduate Statistics.Design of Experiments: Ability to teach ANOVA, Completely Randomized Design (CRD), and Randomized Block Design (RBD).Economic Statistics: Knowledge of Index Numbers and Time Series Analysis.

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