Assistant Professor(Statistics)

Key Responsibilities<\/b>
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• Core Teaching:<\/b> Deliver lectures on UG subjects including Descriptive Statistics, Probability Theory, Statistical Inference, and Sampling Distributions.
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• Practical Lab Supervision:<\/b> Conduct practical sessions using software like MS Excel, R, and Python<\/b>, ensuring students can apply theoretical concepts to real datasets.
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• Student Mentoring:<\/b> Provide academic counseling to UG students and supervise minor projects or field\-based surveys.
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• MAKAUT Compliance:<\/b> Maintain academic diaries, lesson plans, and attendance records as per MAKAUT inspection standards (NAAC\/SAR).
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• Exam Coordination:<\/b> Assist in internal assessments, university practical exams, and the evaluation of semester answer scripts.
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  Requirements<\/h3>

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