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NITK ICMR Project Technical Staff-III Recruitment 2026 — 2 Posts, ₹33,600, Dual Application by 10 Nov, Test on 12 Nov

NIT Karnataka, Surathkal, Department of Information Technology invites Indian nationals for 2 Project Technical Staff-III positions under its ICMR-sponsored digital platform and ASHA-supported preterm-infant intervention project (Ref NITK/IT/SK/ICMR/PTS-III/01 dated 26 October 2026; NITK website announcement 27 October). Full-time B.E./B.Tech./M.E./M.Tech. in listed CS/IT/AI/Information Science or related engineering disciplines with 6.5/10 CGPA OR 60% aggregate, plus practical computing skills, are required; no numerical professional-experience years or GATE/NET pass rule is prescribed. The monthly amount is ₹28,000 plus 20% HRA (₹5,600), total ₹33,600; upper age 35, age cut-off date unspecified. Both email to sowmyakamath@nitk.edu.in with the prescribed subject AND the compulsory Google Form are required by 10 November 2026. Shortlisted candidates attend an in-person test/technical interview at 10:00 AM on 12 November 2026, Department of IT, NITK. Project-co-terminus, three-year appointment with periodic performance review; join immediately if selected.

NITK/IT/SK/ICMR/PTS-III/01Posted 26 Oct 202612 days left
Total vacancies
2
Last date
10 Nov 2026
Application mode
Online
Job location
Karnataka
Organization profile

About the Recruiting Organization

Organization information attached to this recruitment record.

National Institute of Technology Karnataka Surathkal logo
Recruiting AuthorityRecruiting authority

National Institute of Technology Karnataka Surathkal

AutonomousInstituteCentralHigher Education
Organization code
NIT-SUR
Official jobs
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Official website
Sarkari Sapna

About this Recruitment

Recruitment-specific overview from the published record.

NITK ICMR Project Technical Staff-III 2026 — A Digital-Health Research Recruitment, Not a General IT Vacancy

Document identity: NITK/IT/SK/ICMR/PTS-III/01, dated 26 October 2026; published on NITK's Announcements page 27 October 2026. The Department of Information Technology, National Institute of Technology Karnataka, Surathkal, has advertised two positions under one post title, Project Technical Staff III. Applications are invited from eligible Indian nationals.

The research project is titled “Development, Validation and Evaluation of an Integrated Digital Platform and ASHA-supported Home-based Intervention to Improve Neurodevelopmental Outcomes in Moderate and Late Preterm Infants.” Its name establishes a specific technical and research setting: building/evaluating a digital platform while supporting a home-based, ASHA-linked intervention. It does not, by itself, assign separate vacancy quotas to data science, web development or field health work. The employer's actual selection criteria are the technical qualification and skills printed in the first-page vacancy table.

🧾 Applicant's official decision table

QuestionNotification-backed answer
Recruiting instituteNIT Karnataka, Surathkal, an Institute of National Importance; Department of Information Technology

| Ref and original notice date | NITK/IT/SK/ICMR/PTS-III/01 — 26 October 2026 | | Website listing date | 27 October 2026; not the advertisement's signing date | | Project | Integrated digital platform and ASHA-supported home-based intervention for moderate/late preterm infants' neurodevelopmental outcomes | | Position and count | Project Technical Staff III — 2 positions in one advertised row | | Qualifying degree | Recognised full-time B.E./B.Tech. or M.E./M.Tech., in stated computing/AI/information-science or relevant allied engineering discipline | | Academic threshold | 6.5/10 CGPA OR 60% aggregate marks; alternative thresholds, not one combined requirement | | Technical skills | Hands-on analytics, ML frameworks, computer vision/deep learning, mobile/web apps, database management, Python | | Preferred exposure | API integration, data visualisation, secure data handling, DevOps, field-level data-collection coordination | | Published upper age | 35 years; reference/cut-off date and category relaxations not given | | Published monthly remuneration | ₹28,000 + 20% HRA = ₹33,600 | | Submission deadline | 10 November 2026; exact closing hour not stated | | Application routes | Email the filled application and separately submit mandatory Google Form | | PI / application email | Dr. Sowmya Kamath S. — sowmyakamath@nitk.edu.in | | Required email subject | Application for Project Technical Staff – ICMR project | | Assessment | Shortlisted applicants: in-person Test/Technical interview, 12 November 2026, 10 AM, Department of IT, NITK Surathkal | | Duration | 3 years, co-terminus with the research project, subject to periodic performance review | | Fee; written-test paper scheme | Not specified in the four-page advertisement |

🎓 Engineering eligibility — read the two alternatives correctly

The original table first defines the route as an undergraduate or postgraduate degree in the field of Engineering, from a recognised technical institute or university, studied as a full-time programme. It then specifies B.E./B.Tech./M.E./M.Tech. and lists the relevant subject families: Computer Science; Information Technology; Artificial Intelligence; AI & Machine Learning; AI & Data Science; Information Science and Engineering; and related disciplines. The last phrase does not mean any unrelated engineering branch is automatically accepted. Candidates with a differently named allied specialisation should use their exact degree nomenclature and let NITK decide its relevance.

Either 6.5 on a 10-point CGPA scale or 60% aggregate marks is stated as sufficient on the academic threshold. Do not rewrite this as a blanket “minimum 65%” or require an applicant to meet both CGPA and percentage. The enclosed form seeks educational records from Class 10 onward, including degree/branch, board or university, regular/part-time status, passing year, percentage/CGPA and class/division. The form also has a note about institutional CGPA conversion norms. Candidates should follow their own institution's documented grading/conversion rules rather than applying an invented universal formula.

How the two degree routes affect an actual application

Candidate's degree recordRecruitment interpretation
Full-time B.Tech in IT, recognised institute, 6.6/10 CGPAMeets the stated degree-family and CGPA threshold; hands-on technical suitability still assessed
Full-time M.Tech in AI & Machine Learning, 61% aggregateMeets the stated degree-family and marks threshold; a B.Tech plus M.Tech combination is not separately required
Eligible CS engineering degree with 60% but no GATE scoreGATE field can truthfully be No; the notification does not require GATE qualification
Part-time computing engineering qualificationThe notification explicitly asks for a full-time programme; do not assume part-time qualifies
Full-time but unrelated engineering specialisationRelated-discipline equivalence needs institute assessment; editorial opinion cannot confirm eligibility
Degree meets threshold but there is no demonstrable work with the listed technologiesAcademic qualification alone does not establish the hands-on technical expertise described in the table

These examples illustrate the printed rules, not NITK adjudications. The advertisement gives neither extra marks for a master's degree nor an announced quota for GATE/NET-qualified candidates. The application form simply asks whether the candidate has qualified GATE or NET and requests details if yes.

🛠️ What “hands-on experience” actually means in this notification

The detailed qualifications section explicitly names experience in data analytics, machine-learning frameworks, computer vision/deep-learning algorithms, mobile or web application development, database management, and Python programming. It does not prescribe a minimum of one, two, three or more salaried employment years. “Professional Experience (If any)” is a separate section in the official form. Therefore, a candidate should not be rejected solely on an invented employment-duration threshold, but must still be able to substantiate the technical competence NITK asks for. Assessment of what evidence demonstrates sufficient hands-on ability belongs to the selection committee.

The notice separately states that exposure to API integration, data visualisation, secure data handling, DevOps for digital applications and coordinating field-level data collection is preferred. Those preferred areas should improve a candidate's technical narrative when genuine, without being reclassified as compulsory qualifications or certifications.

Skills exactly named by NITKPractical evidence an applicant may describe (editorial guidance)
Python programmingA real module, data-processing pipeline or reproducible analysis; actual contribution and dependencies
Analytics and ML frameworksDataset preprocessing, training/validation design, metric selection and result interpretation
Computer vision / deep learningActual model/task, image-labelling or performance assessment work, if completed
Mobile/web application developmentScreens, API interactions, interface implementation, testing and deployment records
Database managementData model, queries, access restrictions, data integrity and recoverability decisions
Preferred API integrationReal external/internal endpoint, validation, error handling and service boundaries
Preferred data visualisationClear reporting of measurable outputs and uncertainty, not a decorative chart
Preferred secure data and DevOpsPermission controls, change tracking, tests and versioned deployment where relevant
Preferred field coordinationReal processes for collecting, transmitting and reconciling field-level information

The right-hand column is application/interview preparation, not a newly published employer checklist, scoring grid, daily task allocation or official syllabus.

Why the project title matters without inventing a job description

This ICMR-funded research involves moderate and late preterm infants and an ASHA-supported home-based intervention. A digital platform serving such research may need dependable records, careful data validation, appropriate information access, evaluation logic and understandable interfaces. These are technically relevant inferences from the project aim, not a claim that the vacancy notice expressly mandates handling individual clinical records, prescribing interventions or training health workers. A technical-staff applicant can frame previous computing experience around data correctness and usability while avoiding assertions of clinical authority.

For the analytics/ML path, a persuasive discussion is about how a model was evaluated, what data was excluded, what errors or biases were encountered and how results were verified. For the application/database path, discuss an actual interface, service boundary, database schema, testing strategy and handling of duplicate or incomplete data. For the field-data path, explain only coordination genuinely undertaken. These are separate examples of competence, not fabricated subposts within the advertised two seats.

💰 Actual pay — monthly composition, not two different salaries

NITK publishes ₹28,000 remuneration plus 20% House Rent Allowance. The arithmetic is 20% of ₹28,000 = ₹5,600, yielding ₹33,600 per month. The source says nothing about government pay-matrix levels, 7th CPC basic pay, net take-home, an annual increment, a joining bonus or accommodation benefits. The period is month; the appointment duration does not turn the monthly figure into an unconditional three-year earnings guarantee.

📊 Monthly remuneration: composition of the ₹33,600 total

Monthly componentAmount INR
Notified remuneration before HRA28000
HRA at 20% of remuneration5600

The two chart slices are non-overlapping monetary components: ₹28,000 + ₹5,600 = ₹33,600. This chart is not a reservation or vacancy pie. NITK did not publish a category-wise distribution of the two posts, so neither a two-slice vacancy reservation graphic nor an invented UR-versus-reserved split is justified.

📅 Recruitment lead time — useful differences between three official dates

📈 Elapsed calendar days between the notified milestones

Milestone intervalElapsed calendar days
Notice 26 Oct → deadline 10 Nov15
Deadline 10 Nov → assessment 12 Nov2

The 15 and 2 are transparent calendar-date differences, calculated from the source's dates; they are not employer-announced application-opening duration, test duration, or interview preparation time. The notice does not provide an application-start date. The two-day gap matters because a shortlisted candidate may need to reach Surathkal physically soon after the email submission deadline. The actual shortlist-email dispatch date is unannounced; the interval should not be mislabelled as a guaranteed notice period.

📨 Applying correctly — both actions are expressly compulsory

Step 1 — Use the prescribed four-page official PDF. Page 1 contains the signed vacancy notice; pages 2–4 provide the actual application form. Complete the applicant's fields, including the two-referee section and signed declaration. The application number on page 2 is marked “For Office Use Only”—do not invent one. Personal details are labelled “FILL IN CAPITAL LETTERS.” Paste the requested passport-size photograph in the space provided. No electronic file-size cap or upload specification is stated in these four pages.

Step 2 — Email the completed application by 10 November 2026. The address and wording in the official notice are unambiguous:

Email elementExact notified requirement
Principal InvestigatorDr. Sowmya Kamath S.

| Recipient | sowmyakamath@nitk.edu.in | | Subject | Application for Project Technical Staff – ICMR project | | Last receipt date | 10 November 2026 |

The PDF does not prescribe a specific receipt clock time; do not assume an officially extended 11:59 PM window. Follow the notice's email-submission wording and keep verifiable evidence of sending. It does not print a mandatory paper-post address for this recruitment.

Step 3 — Separately complete the mandatory online form: https://forms.gle/bQZ6LWrmErA8gHMF9. The notice states that candidates must also compulsorily fill this form. Email-only submission and Google-Form-only submission are therefore not equivalent to performing both actions. The link is the official recruitment-specific application form referenced in the notice, not a generic university job portal.

Step 4 — Check exactly what the enclosed form requests. This applicant-oriented field map comes directly from pages 2–4:

PDF page / sectionDetails to prepare
Page 2, personal detailsName in capital letters; date of birth; gender; nationality; marital status; category; parents' names; correspondence/permanent address; phone; email; photograph
Page 2, GATE and NETAnswer Yes/No separately; only if Yes, report the requested score, rank, subject/specialisation and qualifying year; NET type is also requested
Page 3, education from Class 10Degree and branch; board/university; regular/part-time status; year; marks/CGPA; class/division; applicable institutional conversion norms
Page 3, professional experience if anyDesignation, organisation, period From/To, actual work including software/hardware/frameworks; extra sheet if necessary
Page 3, academic/research projects if anyProject item and truthful details; additional sheets as needed
Page 3, publications/awards if anyPaper title/authors/venue plus DOI or URL where applicable; no invented publication requirement
Page 4, refereesTwo referee records, each with name, designation, organisation, office address, office phone and email ID
Page 4, declarationTruthful declaration, place, date and candidate signature acknowledging the role's temporary nature

Step 5 — Audit consistency, not just completeness. The degree nomenclature entered on page 3 should match the source certificate; full-time status should not conflict with the qualification proof. Where experience is reported, the task description should name tools actually used. Referee contact details must be authentic, and GATE/NET should not be invented merely because the fields appear. The notice does not separately establish an application fee amount; “Not specified” is accurate, “free for all categories” would be an unsupported new rule.

🧭 Selection and appointment lifecycle — what is confirmed versus unknown

Stage 1 — Official notice and application preparation

Reference NITK/IT/SK/ICMR/PTS-III/01, dated 26 October, is the controlling instrument. Candidates need an appropriate engineering qualification, the stated academic threshold, relevant hands-on competencies and a fully completed prescribed form. No separate reservation-seat roster, exam syllabus, application fee or opening-time rule is published within it.

Stage 2 — Two-channel submission, deadline 10 November

Email and Google Form are compulsory; page 1 explicitly gives both. The email subject is prescribed. The institute does not state whether a resubmission/correction is permitted, so applicants should verify their material before dispatch rather than assume an editing facility.

Stage 3 — Institute screening and email shortlist

NITK will inform shortlisted candidates via email. The notification does not name screening marks, academic weightages, the number of people to call, a separately scheduled shortlist publication date or a prior qualifying GATE/NET threshold. Technical hands-on experience is relevant, but the printed vacancy table does not give a fixed minimum number of employment years.

Stage 4 — In-person Test/Technical interview, 12 November 2026

The source explicitly schedules the assessment for Thursday, 12 November 2026 at 10:00 AM, Department of Information Technology, NITK Surathkal. Only shortlisted candidates are told to attend. The term “Test/Technical interview” is announced; the form's questions about GATE/NET are not a substitute for a published exam scheme. NITK does not provide the test's question type, sections, marks, duration, negative marking, qualifying percentage or official written syllabus. We therefore retain the in-person assessment as a recruitment selection stage while leaving unannounced structured Exam/Admit Card/Answer Key records empty.

Stage 5 — Committee decision and immediate joining

The selection committee's decision is final. NITK reserves the right to reject any or all applications without reasons. A candidate selected for the project must be prepared to join immediately when directed. Neither a result declaration date nor an appointment-letter date is printed. There is no published cutoff, waiting-list rule or interview-weighting formula to reproduce as fact.

Stage 6 — Temporary project tenure and review

The post is for a three-year period co-terminus with the research project. The PI may review performance periodically and terminate the engagement at any time if performance is unsatisfactory. The three-year figure expresses the stated project-linked duration, not an irrevocable guarantee of 36 monthly payments or permanent employment. The notification also says selected candidates will be encouraged to apply for NITK M.Tech (Research) / Ph.D. programmes as relevant; this is an invitation to pursue a separate academic process, not guaranteed admission or a prerequisite for joining.

Stage 7 — Later formal updates, if any

No exam answer key, standalone hall ticket, selection-list publication date, medical-test schedule or reserved-category cutoff appears in the source. Such milestones should be added to SarkariSapna only after an official NITK communication. A later project extension or new selection call must not be invented in the present advertisement's record.

🧪 Technical preparation: interview practice, not an official prescribed syllabus

The safest preparation follows the actual skill list in the detailed qualification table, rather than recycling generic GATE Computer Science chapters. The following are editorial practice prompts, not questions, marks or topics formally issued by the institute:

Named skill areaEvidence-led practice prompt
Python + analyticsExplain a real pipeline: source, quality checks, transformation, reproducibility, tests, limitations
Machine learningExplain train/validation separation, overfitting detection and a metric suitable for the real data/task
Computer vision or deep learningShow one actual experiment, model settings, input/label checks and evidence of failure analysis
Mobile/web developmentWalk through a built feature from UI input through API, service and database; handle error and retry cases
Database managementDiscuss data integrity, relational design, versioning and safe handling of updates from multiple users
Preferred API and visualisationExplain a real integration, response validation and a plot that communicates meaningful quantitative evidence
Preferred security and DevOpsDescribe access controls, secrets handling, deployment checks or test automation actually implemented
Preferred field coordinationExplain how missing, late or duplicate field records were reconciled in work you actually performed

Research-context judgement: a platform for ASHA-linked home-based research should avoid misreporting health-outcome data. An applicant may discuss how consent and authorisation, data minimisation, auditability and responsible model interpretation would inform software design. These are responsible technical considerations inferred from project context, not evidence that the notice mandates a specific clinical workflow, architecture, encryption standard or government digital-health integration. Candidates should discuss only work they understand and can substantiate.

❓ Focused FAQ — the points most likely to affect eligibility or attendance

Are there two different job profiles? No. The table advertises two seats under one Project Technical Staff III title and does not allocate separate specialisations.

Can I apply with an eligible B.Tech but no M.Tech? Yes, the academic route is stated as undergraduate or postgraduate engineering; a second higher degree is not expressly mandatory.

Can a 6.5/10 CGPA applicant apply without 60% shown on the certificate? The printed threshold is 6.5/10 CGPA OR 60% aggregate. Institutional grading records must be accurately reported.

Are GATE or NET qualifying marks compulsory? No such mandate is printed. The form asks Yes/No and supplementary information if qualified.

Is one year of paid software employment compulsory? No numerical minimum work-experience duration is stated. The detailed qualifications nonetheless ask for hands-on technical experience; the committee determines acceptable evidence.

Can a pure non-engineering B.Sc computer graduate apply? The specified essential route is undergraduate/postgraduate engineering, with B.E./B.Tech./M.E./M.Tech. detailed in the notice. Do not replace this with an unannounced B.Sc pathway.

How many vacancies are reserved for UR/OBC/SC/ST? The vacancy table gives 2 total, without category-wise allocation; the candidate-category field on the form is not a reservation roster.

What date determines the maximum age of 35? A separate age reference date is not specified; do not invent one.

Do I only need to complete the Google Form? No. The email application is also expressly required, using the prescribed PI email and subject.

Is an email acknowledgement alone proof that both application actions are complete? No. It does not establish that the independent Google Form was also submitted.

Is there an announced written-test pattern? No. An in-person Test/Technical interview is announced for 12 November, but the paper pattern, duration, marks and syllabus are not provided.

Will the institute reimburse test/interview travel? Not specified in the four-page notice. Do not claim an allowance.

Is ₹33,600 the in-hand salary? The notice gives the sum of ₹28,000 and 20% HRA. In-hand deductions and net amount are not specified.

Are three years guaranteed regardless of performance? No. The engagement is project-co-terminus and expressly subject to periodic review with early termination for unsatisfactory performance.

Is NITK M.Tech (Research) / Ph.D. admission part of the job offer? No; selected candidates are encouraged to apply, not promised admission.

🔗 Official-document boundary

All mandatory facts above come from the original NITK four-page advertisement and enclosed application form. Source page 1 controls the vacancy, academic threshold, detailed skills, age, pay, email/Google Form, test date and tenure. Pages 2–4 control what the prescribed form asks. Computed ₹5,600 HRA and the 15-day/2-day date differences are explicitly labelled arithmetic, not new official recruitment provisions. Practical technology examples are distinguished from employer-issued eligibility, duties and syllabus. Future corrections, shortlist and result notices require fresh official NITK evidence.

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Post-wise Vacancies

Open a post to view qualification, experience, age, salary, location, responsibilities and post-specific instructions.

NITK-IT-ICMR-PTS-III-012 vacancies

Project Technical Staff III — ICMR Digital-Health Research

Qualification: NITK/IT/SK/ICMR/PTS-III/01 p.1: undergraduate OR postgraduate full-time Engineering degree, with 6.5/10 CGPA OR 60% aggregate, from recognised technical institute/university. B.E./B.Tech./M.E./M.Tech. in Computer Science / IT / AI / AI & Machine Learning / AI & Data Science / Information Science and Engineering / related disciplines. Hands-on data analytics, ML frameworks, computer vision/deep learning, mobile/web apps, database management and Python. API integration, visualisation, secure data, DevOps and field-data coordination explicitly preferred. NO GATE/NET mandatory rule or numeric minimum experience years printed.
Age: Maximum 35 years
Pay: ₹33,600 – ₹33,600 / month
Educational qualification

NITK/IT/SK/ICMR/PTS-III/01 p.1: undergraduate OR postgraduate full-time Engineering degree, with 6.5/10 CGPA OR 60% aggregate, from recognised technical institute/university. B.E./B.Tech./M.E./M.Tech. in Computer Science / IT / AI / AI & Machine Learning / AI & Data Science / Information Science and Engineering / related disciplines. Hands-on data analytics, ML frameworks, computer vision/deep learning, mobile/web apps, database management and Python. API integration, visualisation, secure data, DevOps and field-data coordination explicitly preferred. NO GATE/NET mandatory rule or numeric minimum experience years printed.

Experience

Required: Yes · Description: First-page detailed qualifications require hands-on experience in data analytics, machine learning frameworks, computer vision/deep learning, mobile/web application development, database management and Python, but provide no numeric minimum years. The prescribed form calls professional employment “If any” and separately requests research/academic projects “if any”. NITK determines the adequacy of actual technical experience; preferred API/visualisation/security/DevOps/field-data areas are not compulsory standalone tenure requirements.

Age relaxation

Description: The official first-page table states maximum age 35. It does not publish a date for calculating age or numeric SC/ST/OBC/PwD relaxation. A category field on the applicant form is not a reservation matrix or proof of specific relaxation.

Job location
Surathkal, Mangaluru, Karnataka, India
Skills
Hands-on Python programming, with ability to explain actual implemented work and reproduce resultsPractical data analytics and machine-learning frameworksComputer vision and/or deep-learning algorithms and their demonstrated evaluationMobile and/or web application development; application-service interactionDatabase-management work and accurate data operationsPreferred: API integration and data visualisationPreferred: secure data handling and DevOps for digital applicationsPreferred: coordination of field-level data collection where genuinely experienced
Post description

Project Technical Staff III — ICMR Digital Platform and ASHA-linked Research (2 Posts)

Post code (SarkariSapna import identifier): NITK-IT-ICMR-PTS-III-01 · Actual notice: NITK/IT/SK/ICMR/PTS-III/01 · Recruiter: Department of IT, NITK Surathkal. Both positions have the same advertised title and eligibility. The PDF does not designate a separate data-science post, application-engineering post or public-health post. Consequently, applying for either advertised seat is not a different form choice.

The actual qualifying degree, not a broad IT-degree assumption

You must have an undergraduate or postgraduate Engineering degree earned full-time from a recognised technical institute or university. The official detailed table names B.E., B.Tech., M.E. and M.Tech. in Computer Science, Information Technology, Artificial Intelligence, AI & Machine Learning, AI & Data Science, Information Science and Engineering, and related disciplines. The threshold is 6.5/10 CGPA or 60% aggregate marks. These are alternatives. An applicant with a related but differently named specialisation must state the exact transcript title; NITK, not this article, decides relatedness. A qualifying M.Tech is not obligatory when the relevant bachelor's route already qualifies.

The attached application requires academic history from Class 10, with the award, branch, institute, regular/part-time mode, completion year, CGPA/percentage and class/division. Where conversion documentation is applicable, use the institute's actual rule. Neither a generic diploma-only route nor a non-engineering B.Sc/M.Sc route is inserted into this vacancy. GATE and NET are asked on the form, but are not stated as mandatory eligibility gates.

Experience: technical competence is named, minimum service years are not

This is not accurately described as “two years' experience mandatory” or “freshers automatically eligible.” NITK's detailed qualifications list hands-on experience in data analytics, ML frameworks, computer vision/deep learning, mobile/web development, databases and Python. The same PDF labels the professional-employment table “If any” and gives no numerical minimum years. A real completed academic/research software project can be described in the form's separate project section. It remains for NITK to judge the relevance and sufficiency of a candidate's technical work. Do not invent prior paid employment solely to fill the professional-experience table.

Preferred, not independently compulsory: API integration, data visualisation, secure data handling, DevOps and coordinating field data collection. If you actually have one of these skills, give a project, technical contribution, period and outcome. Mere familiarity with the vocabulary is not the same as practical evidence. Conversely, a preference does not automatically create a new certificate, number-of-years or pre-interview disqualification rule.

What technical work may look like, without manufacturing duties

The employer identifies a research project to develop, validate and evaluate a digital platform and ASHA-supported home-based intervention concerning neurodevelopmental outcomes in moderate and late preterm infants. The vacancy table names technical competencies, not a day-by-day duty roster. From these facts, potentially relevant technical activities include implementing a research data pipeline, checking field-data completeness, database queries, application UI/backend integration, Python analysis and ML model evaluation. These are illustrative inferences, not separately allocated roles or guaranteed field deployments. The technical appointee is not authorised by this engineering advertisement to give clinical care, decide neurodevelopmental diagnoses or replace ASHA/clinical staff.

For an interview-ready demonstration, a candidate can choose one genuinely completed example and explain purpose → own contribution → input data → code or model → testing → limitation. If discussing a sensitive-data project, explain the controls actually used, rather than claiming an invented NITK security standard. The project context makes correctness and interpretability important, but no fixed database product, programming framework version or published architecture is required in the PDF.

Monthly remuneration and what the appointment does not promise

₹28,000 + 20% HRA (₹5,600) = ₹33,600 per month is the notice's announced compensation. It is not a separate bonus on top of ₹33,600. The salary entry therefore has numeric minimum and maximum both 33600 and period: month. Monthly deductions, medical coverage, travel allowance, annual raises and net take-home pay are Not specified. The engagement is 3 years co-terminus with the research project, reviewable and terminable earlier for unsatisfactory performance. A guaranteed three-year total is not advertised.

Exactly how this post is applied for

  1. Complete the prescribed form on pages 2–4 of the four-page NITK PDF. Use capital letters for personal details, provide date of birth/contact/address, and paste the requested passport-size photograph. The office-use application-number box is not for applicants to fill on their own.
  2. Enter the Class 10 onward degree history, true degree branch and programme mode, and provide institution-based marks/CGPA conversion information when applicable. Answer GATE/NET Yes/No truthfully; give scores/ranks and year only where the form calls for it.
  3. If applicable, provide the professional experience, research/academic projects, and publications/awards sections. The form allows further sheets where needed; no fabricated employment, publication or score is necessary.
  4. Supply two referees with name, designation, organisation, office address, office phone and email. Sign/date the declaration acknowledging the role's temporary nature.
  5. Email the completed application to sowmyakamath@nitk.edu.in by 10 November 2026 using exactly Application for Project Technical Staff – ICMR project as the subject. Independently complete the compulsory Google Form https://forms.gle/bQZ6LWrmErA8gHMF9. Both actions are expressly required; the PDF does not provide a submission closing hour.

Selection, physical attendance and follow-through

Only shortlisted applicants are to be notified by email. The official assessment is in-person Test/Technical interview, 10 AM, Thursday 12 November 2026, Department of IT, NITK Surathkal. NITK has not released a question pattern, marks, duration, negative-marking rule, official written-test syllabus, shortlist publication time or interview scoring weights in these pages. A candidate should prepare to explain actual named technologies and their own work, not a fictitious competitive-exam blueprint. In particular, a GATE/NET field in the attached form does not establish GATE-based selection marks.

The committee's decision is final; the institute may reject any or all applications. A selected person must be ready to join immediately as directed. The PI reviews performance periodically and may end the appointment for unsatisfactory performance. Selected staff are encouraged to apply for suitable NITK M.Tech (Research)/Ph.D. programmes; the notice does not promise admission or convert this contract into a permanent post.

Final self-check for this specific recruitment

CheckCorrect decision point
Degree and modeFull-time engineering UG or PG; listed/related computing discipline
Threshold6.5/10 CGPA OR 60% aggregate; no invented conversion
Practical abilityHands-on analytics, ML, vision/deep learning, mobile/web, database and Python evidence
Employment durationNumeric minimum years Not specified; professional-employment form says If any
GATE / NETReport accurately; neither is declared an essential qualification
VacanciesExactly 2 under one post title; category-wise roster Not specified
AgeMaximum 35; reference date and relaxations Not specified
ApplicationPrescribed PDF form emailed and separate mandatory Google Form by 10 November
AssessmentShortlisted candidates appear in person 12 November at 10 AM
Service₹33,600/month including HRA; temporary, project-co-terminus three-year term subject to reviews

The correct vacancy reference for every step is the 26 October 2026 original NITK PDF; the university announcements publication on 27 October is a separate date, not a replacement notification.

Duties

Temporary technical-staff participation in the named ICMR-sponsored project for integrated digital platform development, validation and evaluation, alongside ASHA-supported home-based intervention research. The official notification states a project objective and technical qualifications but does not publish separate day-to-day duties or split the 2 vacancies into specialized tracks.

Responsibilities
  • Undertake project-assigned technical activities in NITK Department of IT within the named integrated digital-platform research project; the exact work allocation is not detailed in the advertisement.
  • Apply and demonstrate the stated hands-on computing competencies: Python, analytics/ML, computer vision/deep learning, mobile/web development and database management, as the PI assigns.
  • Where relevant, apply preferred experience in APIs, visualisation, secure data, DevOps and field-data coordination; these are preferences rather than separately mandated job allocations.
  • Observe research-project engagement requirements and periodic PI performance reviews; the three-year term is co-terminus with the project.
Post-specific instructions
  • Download the original NITK four-page advertisement and fill its attached applicant form (pages 2–4) with capital-letter personal details, photo, academic history from Class 10, truthful optional GATE/NET responses, employment/projects/publications if any, two referees and signed declaration.
  • Email the completed application by 10 November 2026 to sowmyakamath@nitk.edu.in using subject: Application for Project Technical Staff – ICMR project.
  • Independently and compulsorily submit https://forms.gle/bQZ6LWrmErA8gHMF9; submission only through one of the two channels does not fulfil the stated instructions.
  • Qualifying degree: full-time B.E./B.Tech./M.E./M.Tech. in named/related engineering computing disciplines and at least 6.5/10 CGPA OR 60% aggregate; hands-on technical experience named, numerical minimum employment years not stated.
  • If shortlisted by email, attend in-person Test/Technical interview at 10 AM on Thursday 12 November 2026, Department of IT, NITK Surathkal. Official written-paper pattern and marks not specified.
  • Monthly remuneration ₹28,000 plus 20% HRA = ₹33,600; max age 35 (reference date unspecified); project-co-terminus 3-year appointment with performance review, immediate joining if selected.
Reservation note

The first-page vacancy table advertises 02 Project Technical Staff III posts but provides no UR/SC/ST/OBC/EWS/PwD numerical seat split. Application-form candidate category choices do not establish reserved-seat allocations. Do not presume both vacancies are UR or fabricate a percentage chart.

Selection stages for this post
Complete Email Application AND Mandatory Google FormScrutiny Of Academic And Practical Technical EligibilityEmail Intimation To Shortlisted CandidatesIn-Person Test And Technical Interview On 12 November At 10 AMSelection Committee Decision And Immediate Joining If Chosen
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Eligibility & Qualification

Recruitment-level qualifications and eligibility rules. Post-specific conditions are also shown inside each vacancy card.

Eligible Indian nationals

Signed NITK notification invites applications from eligible Indian nationals for the project positions.

Full-time engineering UG/PG and (6.5/10 CGPA OR 60% aggregate)

B.E./B.Tech./M.E./M.Tech. full-time from recognised technical institute/university; CS/IT/AI/AI & ML/AI & Data Science/Information Science and Engineering/related disciplines. An engineering undergraduate OR postgraduate route is allowed. GATE/NET is not an essential condition.

Relevant hands-on computing capability (no numerical employment-years threshold)

First-page detailed qualifications name practical data analytics, ML frameworks, computer vision/deep learning, mobile/web app development, databases and Python. No 1/2/3-year paid employment minimum is stated. Preferred API/visualisation/data security/DevOps/field coordination is separately labelled preference.

Upper age 35; age reference date not stated

First-page vacancy table gives age limit 35, without an age cut-off date or specific relaxation amounts.

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Age Limit & Relaxation

Recruitment-level age criteria. Post-specific age conditions remain visible inside each vacancy card.

Minimum age
Not specified
Maximum age
35
Reference date
Not specified
Age relaxation: Original notice gives maximum age 35. Age cut-off/reference date and category-wise relaxation figures are Not specified. Candidate must seek recruiting institute guidance for borderline DOB/relaxation.
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Salary & Pay Scale

Post-wise salary, stipend or pay-matrix information.

Project Technical Staff III (ICMR Digital Platform Project)
₹33,600 – ₹33,600 / month

Original NITK table: ₹28,000 per month plus HRA at 20% of that amount (₹5,600) = total ₹33,600 monthly; no published pay matrix, guarantee of 36 months, net/in-hand value, increment or additional allowances. Three-year project-co-terminus employment subject to performance review.

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Selection Process

Selection stages in the order configured for this recruitment.

1

Complete email application AND mandatory Google Form

Fill prescribed NITK application (PDF pp2–4); send to PI Dr Sowmya Kamath S., sowmyakamath@nitk.edu.in, with exact notified subject by 10 November 2026 AND submit compulsory https://forms.gle/bQZ6LWrmErA8gHMF9. No deadline clock-time published.

2

Scrutiny of academic and practical technical eligibility

NITK considers recognised full-time B.E./B.Tech./M.E./M.Tech. in specified/related fields, either 6.5/10 CGPA or 60% aggregate, hands-on Python/ML/vision/app/database capability and candidate details. No numeric minimum years or documentary scoring matrix announced.

3

Email intimation to shortlisted candidates

The original notice says shortlisted candidates will be intimated by email. It supplies no interview-call issue date, number shortlisted, separate test hall-ticket rule or published cutoffs.

4

In-person test and technical interview on 12 November at 10 AM

Shortlisted candidates attend the Department of Information Technology, NITK Surathkal, in person on Thursday 12 November 2026 at 10:00 AM. The notification calls it Test/Technical interview but does not define papers, marks, duration, negative marking or syllabus.

5

Selection committee decision and immediate joining if chosen

The selection committee’s decision is final; NITK may reject any/all applications without reasons. Selected appointee must join immediately as directed. Project-linked appointment for 3 years co-terminus with project, subject to PI performance review and early termination for unsatisfactory performance.

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Important Dates

Application and recruitment milestones published with this job.

Notification
NITK ICMR Project Technical Staff-III original notice dated
26 Oct 2026

Ref NITK/IT/SK/ICMR/PTS-III/01 original official PDF p1.

Other
NITK official Announcements webpage posted ICMR Project Staff listing
27 Oct 2026

Original NITK Announcements page; not same as document signing date.

Application End
Email application receipt and compulsory Google Form by 10 November
10 Nov 2026

Notice provides calendar deadline without a clock time; do not infer 23:59.

Other
In-person test / technical interview at 10:00 AM in Department of IT
12 Nov 2026

Original NITK official PDF p1: Thu 12 Nov 2026, 10AM, Department of IT, Surathkal; only shortlisted candidates attend.

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Official Links & Resources

Application links, notification documents and verified sources in one place.

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