ROLLING ADVERTISEMENT FOR FACULTY POSITIONS

(ADVERTISEMENT NO. IISERTVM/DoFA/REC/02/2025)

Indian Institute of Science Education and Research Thiruvananthapuram (IISER TVM) invites applications for selection at the Assistant Professor level on 'tenure-track' in the areas mentioned below from Indian nationals with outstanding academic credentials, proven research capabilities as reflected by publications in journals of international repute, strong competence in developing and teaching courses in the following areas, ability to establish a vibrant research programme and passion for teaching.

Applications should be submitted online, duly following the instructions given on the website. Incomplete applications not supported by relevant documents will not be considered.The portal will start accepting online applications for the Second Phase from November 28, 2025. The processing of applications will be carried out on a regular basis. Please note that the portal will be temporarily closed for a fixed period during the processing of each phase.

Candidates with exceptional track records are encouraged to apply under "Others" category. However, IISER TVM reserves the right to not consider the applications under the “Others” category unless it is felt that there are one or more exceptional applications to consider. In case applications received under this category in a round are not considered, they will not be automatically considered for the next round.

Interviews under the rolling advertisement will be conducted in a phased but continuous manner. The sub-areas that get filled with suitable candidates may be deactivated.

Assistant Professor Grade I: Areas of Specialisation

1. School of Biology
   1. Single cell spatial biology ( inclusive of single cell-omics)
   2. Quantum Biology
   3. Artificial Intelligence (AI) in Biology
   4. Mechanobiology
   5. Ecological Resilience
2. School of Chemistry
   1. Surface Science (Anything related to synthesis, mechanics, spectroscopy, microscopy, physical properties)
   2. Artificial Intelligence and Machine Learning in Computational Chemistry
   3. Photochemistry and Photobiology (concerned with molecular reactivity, development of molecules to materials etc. with less emphasis on photo physics)
   4. Chemical Biology
   5. The chemistry of rare earths and precious metals
   6. Organic synthesis (sustainable synthesis, flow chemistry, total synthesis, carbohydrates, electrochemical synthesis), excluding transition metal-catalyzed synthesis
3. School of Data Science
   1. Statistics with preference for:
      • Bayesian Statistics
      • Time Series Analysis
      • Multivariate Statistics
      • Spatial Statistics.
   2. Artificial Intelligence and Machine Learning with preference for:
      • Natural Language Processing (NLP)
      • Statistical Machine Learning
      • Applied artificial Intelligence and machine learning in finance and economics
4. School of Earth Environmental and Sustainability Sciences
   1. Atmospheric Science with preference for:
      • Atmospheric chemistry and atmospheric pollution modelling
      • Atmospheric and Ocean dynamics
      • Meteorology
   2. Geology with preference for:
      • Metamorphic petrology
      • Sedimentology, stratigraphy and geomorphology
      • Geochemistry
      • Geophysics
      • Ore geology
   3. Planetary Sciences
5. School of Mathematics
   1. Algebra, Number theory (Algebraic K theory, Arithmetic Geometry, Galois Representations, Lie Groups, Automorphic forms and L-functions)
   2. Analysis, Applied Analysis (Geometric Analysis, Calculus of Variations)
   3. Geometry (Differential and Riemannian Geometry, Geometric Group theory)
   4. Probability Theory (Random matrices and random graphs, large deviations, percolation theory, interacting particle systems, models of self-organized criticality, stochastic analysis and stochastic geometry)
   5. Applied Mathematics (Inverse Problems and Mathematical Imaging, Domain Decomposition Methods)
   6. Computational Mathematics (Numerical Analysis and High-Performance Computing)
   7. Theoretical Computer Science (Complexity Theory, Cryptography, Computational Number Theory, Combinatorial and Discrete Algorithms, Graph Theory)
6. School of Physics
   1. Quantum Science & Technology (Quantum Optics, Quantum sensing, Quantum Communication, Quantum metrology, Spintronics)
   2. Alternative Energy Materials & Devices (Photovoltaics, Energy Conversion & Storage, Thermoelectrics)
   3. Quantum Field Theory & Mathematical Physics (Algebraic QFT, Topological QFT, Scattering Amplitudes, CFT, Soft Theorems and Asymptotic Symmetries)
   4. Holographic Quantum Information (Entanglement and spacetime geometry, Non-AdS holography, Quantum Complexity and Chaos, Applications in Strongly Coupled Theories (QCD, Non-Fermi Liquids)
   5. Astronomy, Astrophysics & Space Science (Solar physics & space weather, Astrobiology / space biology, Radio/Optical astronomy (SKA / TMT alignment)
   6. High Energy Physics (Experimental High energy physics, Theoretical Cosmology, Classical General Relativity and Quantum Gravity)
   7. Soft matter experiment

General Guidelines Assistant Professor (Grade I)

1. The appointment as a Faculty Member will be governed by the NIT (Amendment) Act - 2012 (National Institute Technology Science Education Research (NITSER) Act) and its amendments from time to time and as per the provisions of the IISER Statutes. As per ‘Tenure-Track System’, the appointment at the level of Assistant Professor at IISER TVM is on contract for five years. At the end of this period, the faculty candidate will be assessed for the position of Associate Professor by a selection committee. The successful candidate will be offered tenure, i.e., a permanent position. If the assessment by the selection committee does not result in the appointment as an Associate Professor, the contract term may be extended for two more years in the same grade.
2. Reservations will be as per the prevailing Government of India norms and as applicable to IISERs.
3. Valid category certificate should be uploaded, if applicable.
4. Candidates working in Government Organizations/Institutions/Universities/Public Sector Undertakings should submit a no-objection certificate.
5. No enquiries of any kind in regard to the selections will be entertained.
6. The institute reserves the right to screen and call only those candidates deemed suitable for presentations followed by interviews. The eligibility criteria are only a bare minimum, and mere fulfilment of the same will not entitle any candidate to be called for an interview.
7. The institute reserves the right not to fill any vacancy advertised without any reason. The institute also reserves the right to stop accepting applications in specific sub-areas or disciplines at any point in time. The decision of the Institute in all matters shall be final and binding. Legal disputes, if any, shall be settled in the Court of Law only within the jurisdiction of Thiruvananthapuram.

Online Application link to apply for Assistant Professor Grade I : Application Link

Assistant Professor Grade II: Areas of Specialisation

1. School of Data science
   1. Statistics with preference for:
      • Bayesian Statistics
      • Time Series Analysis
      • Multivariate Statistics
      • Spatial Statistics
   2. Artificial Intelligence and Machine Learning with preference for:
      • Natural Language Processing (NLP)
      • Statistical Machine Learning
      • Applied artificial Intelligence and machine learning in finance and economics

General Guidelines Assistant Professor (Grade II)

1. Reservations will be as per the prevailing Government of India norms as applicable to IISERs.
2. A valid category certificate should be uploaded, if applicable.
3. Candidates working in Government Organizations/Institutions/Universities/Public sector undertakings should submit a no-objection certificate.
4. No enquiries of any kind in regard to the selections will be entertained.
5. The interview committee reserves the right to recommend pay fixation at higher cells for outstanding candidates.
6. The institute reserves the right to screen and call only those candidates deemed suitable for presentations followed by interviews. The eligibility criteria are only a bare minimum, and mere fulfilment of the same will not entitle any candidate to be called for an interview.
7. The institute reserves the right not to fill any vacancy advertised without any reason. The decision of the Institute in all matters shall be final and binding. Legal disputes, if any, shall be settled in the Court of Law only within the jurisdiction of Thiruvananthapuram.
8. The appointment as Assistant Professor Grade II will be of a contractual nature for a period of three years from the date of appointment. The performance of those who are appointed as Assistant Professor Grade II in academic level 10 will be assessed after a period of every one year from the date of appointment for consideration of the continuation of the contract. The Assistant Professor Grade II can be Assistant Professor Grade I only through regular open advertisements; there will not be any claim for regularisation upon completion of the contractual period.
9. Those who are appointed as Assistant Professor Grade II will not be entitled to benefits as applicable for faculty appointed on regular cadres like Leave Travel Concession, Medical Reimbursement Facilities and NPS. However, their leave entitlement will be the same as applicable to regular faculty members.
10. Where the number of applications received in response to the advertisement is large, the Institute reserves to restrict the number of candidates to be called for the selection process to a reasonable limit on the basis of qualifications and experience. The decision of the Institute in this regard shall be final.

Online Application link to apply for Assistant Professor Grade II : Application Link

For all queries email: frecruit[at]iisertvm[dot]ac[dot]in