Ahmedabad University Summer Internship 2026, Apply Online

Ahmedabad University Summer Internship 2026, Apply Online

Ahmedabad University Summer Internship 2026, Apply Online. Ahmedabad University Summer Internship 2026 Registrations. Ahmedabad University Summer Internship 2026 Notification. Interested and eligible applicants can check out all of the details on the same below:

Ahmedabad University is a private research university established in 2009, offering broad-based and intensive undergraduate programmes along with strong research-oriented graduate programmes. The university currently has four Schools:

• Amrut Mody School of Management
• School of Arts and Sciences
• School of Engineering and Applied Science
• Bagchi School of Public Health

We offer Bachelors, Masters, and PhD degrees in Business Administration, Commerce, Arts, Sciences, Public Health, and Technology.

Ahmedabad University Summer Internship Programme

Ahmedabad University has launched a Summer Internship Programme to bring highly qualified and motivated students from other universities and institutions to work on research projects over the summer with the faculty of the University.

Eligibility for Ahmedabad University Summer Internship 2026

Internships are open for students who:

• Are enrolled as Bachelors/Masters students in a full-time degree programme in recognised Universities/Institutions in India or abroad.
• Have demonstrated good academic performance.

Note: Students who have appeared in the final exam or have just completed their Bachelors/Masters programme may also apply for the internship. The duration of the internship will be 4-8 weeks, depending on the project.

Unique Aspects of the Ahmedabad University Summer Internship Programme

• Opportunity to work with active researchers on projects.
• Free accommodation at University Student Residences.
• The University will provide Sleeper Class return train fare between the origin city and Ahmedabad.
• Interns will receive a certificate of internship after successful completion of the programme.

Research Projects at Ahmedabad University Summer Internship 2026

Project Name: Reconstitution of bacterial actin comet motility in cell extracts

• Project Description: Pathogenic bacteria such as Listeria can hijack host machinery to form actin comet structures at one end of the bacteria. The force generated by actin polymerisation in these comets drives the propulsive motility of bacteria, which is key to the cell-to-cell spread of pathogenic bacteria. The goal of this internship project would be to reconstitute actin comet-based motility of pathogenic bacteria in Xenopus egg cell extracts and measure biophysical parameters of actin comet motility. By completing this project, the student would acquire hands-on experience in biochemical methods, high-resolution microscopy, and data analysis.
• Work Expected of the Student: Student will perform biochemical reconstitution of actin-driven bacterial comet motility in Xenopus egg extracts and use fluorescence microscopy to track movement of actin comets. This will  be followed by motion analysis to extract parameters such as velocity and directionality of bacterial actin comet motility.
• Expected Qualification of the Student: Pursuing Bachelors
• Project Start-date: May 11, 2026
• Project End-date: July 3, 2026
• Faculty: Ashim Rai, Assistant Professor, School of Arts and Sciences

Link to article or webpage relevant to the topic of the project

Project Name: Interplay among gene, environment, protein and behavioural readouts explaining plasticity in visual sensitivity and its functional significance in green chromides, a freshwater fish native to India

• Project Description: Visual adaptation is governed by opsins, light-sensitive proteins that exhibit wide variation across different light conditions. In this proposal, Professor Ratna Ghosal aims to investigate plasticity in opsin expression in green chromides (GC, Etroplus suratensis), which occur in diverse habitats, from clear freshwater to turbid, brackish waters. Previous research from Professor Ghosal’s group showed that GC are highly social, with significant preferences for conspecifics to form shoals. They also demonstrated that GCs are highly dependent on visual cues, both for shoaling and finding food. They performed transcriptomic sequencing to characterise opsins expressed in GC under white-light conditions. Since behavioural expressions in GC depend on visual cues, they hypothesised that under altered light conditions, GC may need to modulate opsin expression to optimise behavioural performance. With this background, Professor Ghosal aims to study plasticity of opsin expressions in GC housed under laboratory conditions (objective 1) and across natural populations, over both temporal and spatial scales.
  Additionally, for the laboratory populations (objective 1), Professor Ghosal plans to assess functional significance (via behavioural assays) of opsin expressions, at fixed intervals over time and across different light environments. The proposal also aims to investigate proximate (genetic) mechanisms (objective 3) underlying opsin expression across populations to determine population-level diversity in opsin genes. Overall, the proposal will draw links among genes, environments, proteins, and behavioural processes, and examine how this integration contributes to the fitness of organisms, a fundamental step towards understanding the mechanisms that maintain biodiversity.
• Work Expected of the Student: Laboratory analysis of opsin expressions and behavioural recording and analysis
• Expected Qualification of the Student: Pursuing Masters
• Project Start-date: May 29, 2026
• Project End-date: July 3, 2026
• Faculty: Ratna Ghosal, Associate Professor, School of Arts and Sciences

Link to article or webpage relevant to the topic of the project

Project Name: Applying a multi-pronged approach to assess the health of a large ectotherm- Mugger Crocodile- across varying habitats

• Project Description: Ectothermic animals depend heavily on the ambient environment to regulate their body temperatures, and to do so, they exhibit various behaviours, such as basking, gaping, and shuttling between land and water. In the proposed project, we aim to characterise and compare the behavioural thermoregulatory patterns of two populations of Mugger Crocodiles, one in a relatively unpolluted lentic system (Charotar) and another in a polluted lotic system (Vadodara) within an urban environment. Apart from behavioural readouts, physiological measures, such as hormone levels, are significant for monitoring individual health. Thus, we will measure glucocorticoid (an indicator of physiological stress) and thyroid (an indicator of nutritional state) hormone metabolites in scat samples of mugger crocodiles via standardised protocols. The physiological measures in association with the behavioural thermoregulatory patterns will assess the overall health of the muggers and will compare the local adaptation patterns between the two contrasting environments.
• Work Expected of the Student: Analysis of thermal images and video recordings for estimating basking behaviour
• Expected Qualification of the Student: Pursuing Masters
• Project Start-date: May 29, 2026
• Project End-date: July 3, 2026
• Faculty: Ratna Ghosal, Associate Professor, School of Arts and Sciences

Link to article or webpage relevant to the topic of the project

Project Name: Investigating spontaneous ion acceleration in expanding RF plasmas

• Project Description: Plasma thrusters are essential for satellite maneuvering, but their efficiency is currently limited to around 30 per cent. At Ahmedabad University, we recently discovered that ion beams, streams of high-speed ions driven by steep electric potential drops, can form spontaneously even without the use of external magnets. This project investigates the fundamental origin of these self-forming ion beams to enhance thruster performance and material processing.
• Work Expected of the Student: Students will get hands-on experience with an expanding RF plasma source. They will use LabVIEW-based data-acquisition systems to automate measurements of ion beam energy and plasma potential. By analysing how different particle groups interact to create these beams, they can determine if we can develop lighter, more efficient engines for the next generation of space exploration.
• Expected Qualification of the Student: Pursuing Masters
• Project Start-date: May 11, 2026
• Project End-date: July 3, 2026
• Faculty: Soumen Ghosh, Assistant Professor, School of Arts and Sciences

Link to article or webpage relevant to the topic of the project

Project Name: Nanomedicine to disrupt the immunosuppressive tumour microenvironment in breast cancer

• Project Description: Breast cancer remains the most prevalent malignancy globally, with an estimated 2.3 million new cases diagnosed in 2023 alone. While advancements in early detection and personalised therapies have improved survival rates, the heterogeneity of breast cancer, particularly in Triple-negative breast cancer (TNBC), poses significant clinical challenges. TNBC, characterised by the absence of estrogen receptors (ER), progesterone receptors (PR), and HER2 amplification, is associated with aggressive metastasis, early recurrence, and a median survival of just 10 -13 months for metastatic patients. Current standard-of-care treatments rely on cytotoxic chemotherapy like paclitaxel, doxorubicin. However, chemotherapy resistance develops rapidly in 70 per cent of TNBC patients. The effectiveness of treatment remains limited because of tumor heterogeneity, metastasis, and resistance mechanisms originating from the tumour microenvironment (TME), despite recent developments in targeted and immunotherapeutic approaches. Tumour-associated macrophages (TAMs) function as the main regulators of immunosuppression and metastasis between the cellular elements of the tumour microenvironment. The proposed project addresses a critical unmet need in breast cancer treatment: the lack of therapies that effectively target both tumour cells and their supportive TME. By leveraging advances in nanomedicine and immunometabolism, this study pioneers a multifunctional platform to reprogram TAMs, disrupt oncogenic signalling, and enhance anti-tumour immunity.
• Work Expected of the Student: The student is expected to engage actively in both the conceptual and experimental aspects of the mentioned project. The student should have a conceptual understanding of breast cancer biology and should have hands-on experience in basic cell culture techniques.
• Expected Qualification of the Student: Pursuing Masters
• Project Start-date: May 18, 2026
• Project End-date: July 2, 2026
• Faculty: Ashutosh Kumar, Associate Professor, School of Arts and Sciences

Link to article or webpage relevant to the topic of the project

Project Name: From individuals to colonies: Modelling collective motion and decision-making in ants and social spiders

• Project Description: How do simple organisms without centralised control generate coordinated collective behaviour? In this project, students will explore collective motion and decision-making in ants and social spiders through quantitative analysis and modelling. Using experimental observations and agent-based or phenomenological models, interns will test how local interaction rules, noise, and environmental constraints influence emergent patterns such as clustering, polarisation, and collective transport. The project aims to connect biological observations with theoretical frameworks of self-organisation, providing students with exposure to both empirical data and mathematical approaches to the study of collective systems.
• Work Expected of the Student: Assist in designing and conducting laboratory and/or field experiments on ants and social spiders, including setting up arenas, observations, and basic animal handling. Collect behavioural data through direct observation and video recordings of group movement, aggregation, and interaction patterns.
  Perform basic video processing and behavioral quantification (e.g., trajectories, neighbor distances, zone-based interactions). Prepare a short written summary of findings and present results at the end of the internship. Analyze data to compute collective metrics such as clustering, alignment, spatial density, and temporal correlations.
• Expected Qualification of the Student: Pursuing Bachelors
• Project Start-date: May 11, 2026
• Project End-date: July 3, 2026
• Faculty: Jitesh Jhawar, Assistant Professor, School of Arts and Sciences

Link to article or webpage relevant to the topic of the project

Project Name: Modelling mixed-species flocking: How interaction heterogeneity shapes collective motion

• Project Description: Mixed-species flocks are widespread in nature, yet how differences between species influence collective motion remain poorly understood. This project will use simple mathematical and computational models to investigate how heterogeneity in interaction rules, sensory ranges, and response strengths affects the emergence of collective motion in mixed-species groups. Interns will develop and analyse agent-based models in which two or more species differ in alignment, attraction, or noise parameters. They will quantify emergent patterns such as polarisation, clustering, and phase transitions between disordered and ordered states. The project will provide hands-on experience in building simulation models, analysing collective metrics, and connecting theoretical predictions to biological intuition about mixed-species grouping.
• Work Expected of the Student: Implement simple agent-based models of collective motion (e.g., alignment–attraction–repulsion frameworks) for single- and mixed-species groups.  Introduce heterogeneity between species by varying interaction strengths, sensory ranges, noise levels, or response delays.  Run systematic simulations across parameter ranges and organise results reproducibly.  Compute and visualise collective metrics such as polarisation, clustering, spatial correlations, and phase transitions.  Compare outcomes between single-species and mixed-species systems and interpret results biologically.
• Expected Qualification of the Student: Pursuing Bachelors
• Project Start-date: May 11, 2026
• Project End-date: July 3, 2026
• Faculty: Jitesh Jhawar, Assistant Professor, School of Arts and Sciences

Link to article or webpage relevant to the topic of the project

Project Name: Interstitial tongues: Selfhood and sociolinguistics in liminal geographies

• Project Description: This project investigates the unique cultural and psychological landscapes of geographic border regions where multiple languages coexist and intertwine. Moving beyond the concept of simple transition zones, it frames these areas as generative liminal spaces—thresholds where fixed national, linguistic, and cultural identities become fluid. The research focuses on the lived experience within these hybrid contexts, where daily communication often involves code-switching, translanguaging, and the emergence of unique dialectal forms.
  Central to the inquiry is the sociolinguistic reality of these regions. The project will analyse how language policies, educational systems, and economic forces shape linguistic hierarchies and practices on the ground. It questions how power dynamics between dominant and minority languages are negotiated in markets, civic institutions, and media.
  Building on this, the study delves into the consequent formations of the self. It explores how individuals and communities construct identity in a perpetual state of linguistic and cultural negotiation. Does this liminality produce a sense of fractured belonging or a privileged, multifaceted subjectivity? The concept of hybridity is examined not as a simple blend but as a dynamic, sometimes conflictual, process of self-making. Through ethnographic engagement and narrative analysis, the project aims to illuminate how people use their complex linguistic repertoires to navigate, resist, and redefine the borders imposed upon them, ultimately arguing that these interstitial spaces are crucial sites for understanding the future of belonging in an increasingly mobile and interconnected world.
• Work Expected of the Student: The student is expected to know multiple languages like Kannada, Tulu, Kodava, Malayalam, etc. They should be able to produce reports and complete literature reviews within the stipulated time.
• Expected Qualification of the Student: Pursuing Masters
• Project Start-date: May 11, 2026
• Project End-date: July 3, 2026
• Faculty: Safwan Amir, Assistant Professor, School of Arts and Sciences

Link to article or webpage relevant to the topic of the project

Project Name: Waste-to-wealth: Laboratory waste glass–derived porous silicon nanomaterial for hydrogen storage

• Project Description: The conversion of waste materials into value-added functional nanomaterials offers a sustainable pathway toward clean energy technologies. In this study, laboratory waste glass is utilised as a silicon source to synthesise porous silicon nanomaterials for hydrogen storage applications. Porous silicon will be prepared via controlled chemical reduction followed by acid leaching, enabling the development of a high-surface-area nanostructure with interconnected porosity. The effects of key synthesis parameters on the structural, textural, and hydrogen-storage properties of porous silicon will be systematically investigated. The optimised material exhibits well-developed micro- and mesoporosity, which plays a crucial role in enhancing hydrogen adsorption performance. Hydrogen storage measurements will reveal that the porous silicon nanomaterial demonstrates significantly higher hydrogen uptake compared to non-porous silicon derived under similar conditions. This work presents an effective waste-to-wealth strategy for recycling laboratory glass waste into advanced porous silicon nanomaterials, highlighting their potential as sustainable and low-cost candidates for hydrogen storage applications.​​​​​​​
• Work Expected of the Student: Project-related literature survey, experiment plan, synthesis of porous silicon nanomaterial using waste glass, parameter optimisation, and investigation of the hydrogen application on the synthesised material.
• Expected Qualification of the Student: Pursuing Bachelors
• Project Start-date: May 11, 2026
• Project End-date: July 3, 2026
• Faculty: Sridhar Dalai, Assistant Professor, School of Engineering and Applied Science

Link to article or webpage relevant to the topic of the project

Project Name: AI/ML-driven prediction and optimisation of advanced flue-gas treatment processes for SOx and NOx removal

• Project Description: This two-month summer internship project is designed to train students in applying artificial intelligence (AI) and machine learning (ML) techniques to predict and optimise advanced flue-gas treatment processes for sulfur oxides (SOx) and nitrogen oxides (NOx) removal. The primary objective is to bridge experimental work conducted in-house at our laboratory with computational modelling, enabling students to validate experimental results through simulation and predictive modelling. By converting laboratory data into robust computational frameworks, students will gain a deeper understanding of how process parameters influence pollutant removal efficiency and how AI/ML can accelerate optimisation.
  Interns will work with MATLAB and machine-learning optimisation tools to develop predictive models based on experimental datasets, focusing on key operational variables such as sorbent dosage, gas flow rates, and reaction kinetics. The project emphasises validation: students will compare experimental outcomes with simulation results, refine models to improve accuracy, and explore optimisation strategies for enhanced process performance. A minor experimental component will complement the computational work, ensuring students appreciate the interplay between laboratory-scale data and predictive simulations.
  By the end of the internship, participants will acquire practical skills in data-driven modelling, process validation, and optimisation techniques relevant to chemical engineering and environmental pollution control. The project will not only strengthen their computational expertise but also instill the ability to translate experimental findings into predictive tools, preparing them for advanced research and industry applications in sustainable air pollution management.
  
• Work Expected of the Student: Students will be expected to actively engage in both the computational and experimental aspects of the project. Their primary tasks will include data handling and validation; collecting and analysing in-house experimental data on flue-gas treatment processes; ensuring data accuracy and consistency for computational modelling; and model optimisation by applying AI/ML algorithms to identify optimal operating conditions, validate simulation outputs against laboratory data, and refine models for improved accuracy. Minor experimental work will involve assisting in small-scale experimental runs to generate validation datasets and to gain an understanding of the practical aspects of flue-gas treatment.
  
• Expected Qualification of the Student: Pursuing Bachelors
  
• Project Start-date: May 11, 2026
  
• Project End-date: June 30, 2026
  
• Faculty: Snigdha Khuntia, Assistant Professor, School of Engineering and Applied Science

Link to article or webpage relevant to the topic of the project

Project Name: Design and energy analysis of a chemical process flowsheet: A case study using Aspen Plus and Aspen Energy Analyzer​​​​​​​

• Project Description: This project presents the design and energy analysis of a chemical process flowsheet using process simulation tools, namely Aspen Plus and Aspen Energy Analyzer. A representative chemical process is modelled in Aspen Plus to develop a steady-state flowsheet, incorporating key unit operations, including reactors, heat exchangers, separators, and compressors. Appropriate thermodynamic property methods are selected, and material and energy balances are established to evaluate process performance. Following flowsheet convergence, Aspen Energy Analyzer is used to assess the process’s energy consumption and identify opportunities for heat integration. Pinch analysis is performed to determine the minimum heating and cooling requirements, and potential improvements in the heat exchanger network are explored to enhance overall energy efficiency. The results highlight major energy-intensive units and demonstrate the scope for energy savings through effective heat recovery. This case study illustrates the practical application of process simulation and energy analysis tools in the preliminary design and evaluation of chemical processes. The study’s outcomes provide useful insights into process optimization and energy-efficient design practices commonly adopted in the chemical industry.
• Work Expected of the Student: Literature survey related to the project, understanding of the simulation tool, design and simulation of a case study using Aspen Plus, and finally, conduct the heat integration using Aspen Energy Analyser
• Expected Qualification of the Student: Pursuing Bachelors
• Project Start-date: May 11, 2026
• Project End-date: July 3, 2026
• Faculty: Sridhar Dalai, Assistant Professor, School of Engineering and Applied Science

Link to article or webpage relevant to the topic of the project

Project Name: Effects of larval density on wing interference patterns in Drosophilids​​​​​​​

• Project Description: Wing interference patterns (WIPs) are structural colour patterns produced by light interference in thin insect wing membranes. Because WIPs are highly sensitive to nano-scale variation in wing thickness, they are expected to reflect developmental precision and stress. Larval density is a well-known ecological stressor in Drosophilid flies, affecting nutrition, hormonal regulation, and growth stability. This project will test whether larval crowding alters WIPs in the invasive Drosophilid Zaprionus indianus.
• Work Expected of the Student: The student will be responsible for planning, executing, and analysing an experimental study on the effects of larval density on wing interference patterns.
• Expected Qualification of the Student: Pursuing Masters
• Project Start-date: May 11, 2026
• Project End-date: July 3, 2026
• Faculty: Subhash Rajpurohit, Associate Professor, School of Arts and Sciences

Link to article or webpage relevant to the topic of the project

Project Name: Scientific characterisation of heritage materials: Analytical approaches and conservation implications​​​​​​​

• Project Description: This summer internship project aims to characterise heritage materials scientifically, focusing on their composition, microstructure, deterioration mechanisms, and conservation needs. The selected interns will work on archaeological and historical materials, including metals (iron and copper alloys), ceramics, and other materials. Students will also be working on the development of conservation methodology, such as gel-cleaning technology for heritage surfaces. This internship is particularly suitable for students in materials science, chemistry, physics, archaeology, conservation, or related disciplines who are interested in applying scientific methods to cultural heritage research. The experience will provide exposure to interdisciplinary research at the interface of science and history, while developing laboratory skills, analytical reasoning, and scientific writing abilities.​​​​​​​
• Work Expected of the Student: The project will include literature review, data analysis, preparation of samples, scientific instrumentation, and preparation of short report among many others.
• Expected Qualification of the Student: Pursuing Masters
• Project Start-date: May 11, 2026
• Project End-date: July 3, 2026
• Faculty: Aditya Prakash Kanth, Assistant Professor, Centre for Heritage Management

Link to article or webpage relevant to the topic of the project

Project Name: Calibration of air quality sensors​​​​​​​

• Project Description: Air quality is directly linked to public health and life expectancy. It is also closely intertwined with climate change, as both share many common emission sources. Accurate measurement of air quality is challenging due to the diversity of emission sources, their varying intensities, and the dynamic nature of atmospheric conditions in a region. Consequently, point measurements of air quality in vast, densely populated urban agglomerations often fail to reflect the true extent of the problem. Furthermore, identifying air pollution sources and quantifying emissions is possible only through multi-point measurements. Low-cost air quality sensors offer a viable alternative to expensive research-grade instruments for such monitoring; however, they must be characterised and validated against standard reference instruments.​​​​​​​
• Work Expected of the Student: The student will work on low-cost air quality sensors and data from standard reference instruments. They will characterise and calibrate low-cost air quality sensors using advanced statistical and machine-learning tools.
• Expected Qualification of the Student: Pursuing Masters
• Project Start-date: May 11, 2026
• Project End-date: July 3, 2026
• Faculty: Aditya Vaishya, Associate Professor, School of Arts and Sciences

Link to article or webpage relevant to the topic of the project

Project Name: Designing a mechanical aerodynamic air inlet​​​​​​​

• Project Description: Reliable measurements of particulate air quality require an effective sampling inlet. A good sampling inlet is one in which particulate losses are minimal and the flow remains laminar. To achieve this, an aerodynamic inlet must be designed and characterised. An aerodynamic inlet is a mechanical interface that ensures laminar airflow within a tube. As part of this project, a mechanical inlet will be designed, fabricated in the workshop, and tested in the field.​​​​​​​
• Work Expected of the Student: The student will work on designing a mechanical inlet using 3D design software. Furthermore, using standard fluid-dynamics equations, basic flow simulations will be performed. Once the inlet parameters are fine-tuned, the inlet will be fabricated in the workshop and tested for performance and validation.
• Expected Qualification of the Student: Pursuing Masters
• Project Start-date: May 11, 2026
• Project End-date: July 3, 2026
• Faculty: Aditya Vaishya, Associate Professor, School of Arts and Sciences

Link to article or webpage relevant to the topic of the project

Project Name: Clean water technology

• Project Description: Modern water and wastewater treatment technologies, such as electrochemical AOPs, will be employed to abate persistent contaminants sustainably. These technologies leverage the in situ generation of powerful oxidising species to achieve high mineralisation rates without intensive chemical dosing.
• Work Expected of the Student: Laboratory experiments, quantification using instruments, analysis and interpretation, writing manuscript.
• Expected Qualification of the Student: Pursuing Masters
• Project Start-date: May 11, 2026
• Project End-date: July 3, 2026
• Faculty: Ramya Srinivasan, Assistant Professor, School of Engineering and Applied Science

Link to article or webpage relevant to the topic of the project

Date and Timeline

• Application Portal Opens: Friday, February 20, 2026
• Application Portal Closes: Monday, March 20, 2026
• Announcement of Results: Wednesday, April 16, 2026

How to Apply For Ahmedabad University Summer Internship 2025

• Fill out the application form online.
• Indicate up to 3 research projects of your interest in order of preference.
• Attach the required documents.
• Confirm and submit your application form.

Contact Details

• Email: [email protected] | Phone: +91.79.61911125

The Ahmedabad University Summer Internship 2026 is an excellent stepping stone for students planning careers in research, higher studies, or industry. With free accommodation, travel support, and hands-on mentoring, this life science internship and research internship can significantly strengthen your academic profile and research exposure.

LINK HERE TO ORIGINAL NOTIFICATION