PU Guest Faculty Statistics Recruitment 2026
Pondicherry University - Department of Statistics
प्रकाशित स्रोत: आधिकारिक अधिसूचना त्रुटि की सूचना दें
रिक्तियाँ
3
वेतन
Rs. 1,500 per lecture, subject to a maximum of Rs. 50,000 per month
नौकरी का प्रकार
अस्थायी
अंशकालिक
आवेदन की अंतिम तिथि
08 सित. 2026
इस नौकरी के बारे में
Apply for 3 Guest Faculty posts in PU. Master's degree with NET or PhD eligible. Pay up to Rs 50,000 monthly. Last date: 8 Sep 2026.
PU Guest Faculty Statistics Recruitment 2026: Overview
Pondicherry University (PU) is engaging Guest Faculty in its Department of Statistics for teaching during the academic session. The assignment supports undergraduate, postgraduate, regular and integrated programmes in statistics, along with the management component of the quantitative-finance programme. This is a short academic engagement, and the university is looking for teachers who can step into scheduled courses without a long joining period. The notice also gives candidates a hybrid interview option, although physical attendance is preferred.
Posts and Disciplines
- Statistics: Teach courses connected with the B.Sc. (Hons.) Statistics, M.Sc. Statistics, and integrated statistics programmes. Familiarity with data tools and modern computational methods will help you fit the department's practical teaching needs.
- Management: Handle the management subject taught within M.Sc. Quantitative Finance. This role suits a finance or banking teacher who is comfortable connecting management ideas with data, markets and analytical applications.
Post-wise Duties
Guest Faculty in Statistics
You will plan and deliver statistics lessons for undergraduate and postgraduate learners, explain quantitative ideas clearly, and support classroom exercises. You may use tools such as R, Python, spreadsheets and simulation methods where they make the topic easier to understand. The interview includes a short teaching demonstration, so the department can see how you organise a topic and communicate it to students.
Guest Faculty in Management
You will teach the management component of quantitative finance and help learners connect finance or banking concepts with real data. Experience with statistical packages, financial databases and programming tools can support case-based teaching, but your main task is to make the subject clear to a mixed quantitative classroom.
Service Conditions and Caveats
- Limited engagement: The appointment runs only for the academic session or until regular faculty join, whichever happens first. It does not create a claim to a regular university post.
- Availability: The selected teachers must be ready to join immediately and take the courses assigned by the department.
- Scholarship condition: A person receiving a scholarship or fellowship cannot take this engagement.
- Interview expense: The university will not reimburse travel or daily expenses for attending the interview.
- Fair process: Trying to influence the selection in any form will lead to disqualification.
Application Submission Notes
Email your supporting material as one scanned PDF to head.sta@pondiuni.ac.in. The file should include your biodata, certificates, testimonials and the first page of your publications, where applicable. Bring the originals and one self-attested photocopy set when you report in person.
The physical venue is the Prof. P. C. Mahalanobis Seminar Hall, Department of Statistics, Ramanujan School of Mathematical Sciences, Pondicherry University, Puducherry. The notice also provides https://meet.google.com/yyw-kzpc-gue for hybrid participation, with preference given to physical presence. Keep enough time for document checking before the scheduled interview.
जिम्मेदारियाँ
- Teach assigned Statistics or Management courses to undergraduate and postgraduate students
- Prepare clear lectures, examples and classroom exercises for each topic
- Use suitable data-analysis tools during practical or quantitative lessons
- Guide students through subject questions and course-based academic work
- Keep teaching material aligned with the programme syllabus
- Coordinate class schedules and academic work with the Department of Statistics
पात्रता मानदंड
न्यूनतम योग्यता
Statistics: M.Sc. in Statistics with 55% plus PhD, or CSIR-NET/UGC-NET. Management: MBA in Finance or Banking with 55% plus PhD, or UGC-NET.
वांछित योग्यता
Statistics: MS Excel, R, Python, simulation methods, machine learning or artificial intelligence. Management: SPSS, Excel, EViews, STATA, Python, R, CMIE-PROWESS or Bloomberg, and machine learning or artificial intelligence.
आवश्यक कौशल
Ability to teach the relevant Statistics or Management courses and present a 10-minute teaching demonstration.
क्या मैं पात्र हूँ?
इस नौकरी की आयु एवं योग्यता के आधार पर त्वरित स्व-जाँच। यह केवल संकेतात्मक है — पुष्टि हमेशा आधिकारिक अधिसूचना से करें।
✓ आप पात्र प्रतीत होते हैं ⚠ सीमारेखा पर — आयु में छूट देखें ✗ आप पात्र नहीं हो सकते
- आप न्यूनतम आयु () से कम हैं।
- आप अधिकतम आयु () से अधिक हैं।
- सामान्य आयु सीमा () से अधिक, लेकिन आरक्षित वर्ग की छूट ( तक) के अंतर्गत आप पात्र हो सकते हैं।
- इस पद के लिए चयनित योग्यता से अधिक योग्यता आवश्यक है।
- योग्यता की स्वतः जाँच नहीं हो सकी — ऊपर दिए गए मानदंड देखें।
पुदुचेरी में शिक्षण नौकरियाँ पाएँ
एक टैप। मेल खाती अधिसूचना प्रकाशित होते ही सूचना पाएँ।
✓ आपको ये अलर्ट मिलेंगे।
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वेतन एवं भत्ते
वेतनमान
Rs. 1,500 per lecture, subject to a maximum of Rs. 50,000 per month
चयन प्रक्रिया
- 1 साक्षात्कार
- 2 दस्तावेज़ सत्यापन
- 3 Teaching Demonstration
आवेदन कैसे करें
आवेदन का माध्यम: दोनों
आधिकारिक आवेदन पोर्टल पर जाने के लिए "अभी आवेदन करें" बटन पर क्लिक करें।
आवश्यक दस्तावेज़:
- Biodata
- Original educational certificates
- Scanned certificates and testimonials
- First page of publications, if applicable
- One set of self-attested photocopies
अक्सर पूछे जाने वाले प्रश्न
Email your application PDF by 8 September 2026. The walk-in interview is scheduled for 10 September 2026.
The university will pay Rs. 1,500 per lecture, up to a maximum of Rs. 50,000 per month.
You need the relevant master's degree with at least 55% marks and the specified PhD or NET qualification for Statistics or Management.
Email one scanned PDF to head.sta@pondiuni.ac.in, then attend the hybrid interview and show your original documents.
Selection is through a hybrid interview, document checking and a 10-minute teaching demonstration for the Statistics discipline.
महत्वपूर्ण तिथियाँ
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08 सित. 2026
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