Stand out for this role — generate a tailored resume and cover letter in about a minute.
JKKN College of Nursing invites applications for the position of Assistant Professor – Medical Surgical Nursing. The faculty member will teach and mentor students in Medical Surgical Nursing with a strong focus on adult health, clinical reasoning, patient assessment, and evidence-based care.
The role requires connecting theory with real-world clinical practice, preparing students to manage acute, chronic, and emergency health conditions while leveraging AI-enabled teaching and simulation-based
Certainly. For Assistant Professor – Medical Surgical Nursing, I would make the role strongly focused on adult health nursing, clinical teaching, critical thinking, evidence-based practice, and AI-enabled nursing education, while keeping it distinct from the Tutor description.
JKKN College of Nursing, part of JKKN Institutions, is committed to preparing competent, compassionate, ethical, and future-ready nursing professionals through strong academic foundations, clinical exposure, simulation-based training, research, and technology-enabled education.
As an AI-empowered institution, JKKN integrates Artificial Intelligence, digital learning, simulation technologies, data-driven education, and emerging healthcare technologies into the academic ecosystem. The college encourages faculty to combine sound nursing knowledge with innovative teaching approaches while ensuring that technology complements - not replaces - clinical judgement, human connection, professional ethics, and patient-centred care.
JKKN College of Nursing invites applications for the position of Assistant Professor – Medical Surgical Nursing.
The faculty member will be responsible for teaching and mentoring students in Medical Surgical Nursing, with a strong focus on adult health, clinical reasoning, patient assessment, evidence-based nursing care, disease management, and clinical competency.
The role requires an academic professional who can effectively connect theoretical concepts with real-world clinical situations and prepare students to manage patients with a wide range of acute, chronic, complex, and emergency health conditions.
The selected candidate will contribute to teaching, clinical supervision, curriculum development, research, student mentoring, academic assessment, and the continuous enhancement of nursing education through innovative and AI-enabled approaches.
Deliver high-quality undergraduate teaching in Medical Surgical Nursing and related areas of adult health nursing.
Plan and conduct lectures, tutorials, practical sessions, seminars, case discussions, demonstrations, and simulation-based learning.
Teach students the principles of comprehensive nursing care for patients with medical and surgical conditions.
Develop students' competence in patient assessment, nursing diagnosis, care planning, implementation, evaluation, documentation, and discharge planning.
Integrate clinical cases and real-world scenarios into classroom teaching to strengthen students' clinical reasoning and decision-making abilities.
Supervise and guide students during hospital postings, clinical rotations, internships, and other experiential learning activities.
Help students develop competency in caring for patients across medical, surgical, emergency, and specialty care settings.
Strengthen students' understanding of common and complex conditions affecting major body systems, including cardiovascular, respiratory, neurological, gastrointestinal, renal, endocrine, musculoskeletal, and other systems.
Facilitate learning related to perioperative nursing, emergency care, infection prevention, pain management, rehabilitation, and patient safety.
Use simulation, digital clinical resources, case-based learning, virtual learning tools, and appropriate AI-enabled technologies to enhance student learning.
Develop and update lesson plans, clinical teaching materials, case studies, practical manuals, assignments, question banks, and competency-based assessments.
Mentor students in academic progress, clinical performance, professional conduct, research activities, internships, and career development.
Identify learning gaps and provide appropriate academic and clinical support to students.
Conduct internal assessments, practical examinations, clinical evaluations, viva voce, and other competency-based assessments.
Encourage students to practise evidence-based nursing and critically evaluate clinical information obtained from digital and AI-enabled resources.
Guide students in using AI responsibly for literature exploration, case preparation, academic revision, and research while emphasizing source verification, patient confidentiality, and academic integrity.
Undertake research in Medical Surgical Nursing, adult health, clinical nursing practice, patient outcomes, nursing education, healthcare technology, or related areas.
Publish research findings in peer-reviewed journals and participate in conferences, seminars, workshops, and professional forums.
Encourage and supervise student research projects, case studies, clinical presentations, and innovation initiatives.
Collaborate with physicians, nurses, hospital administrators, clinical instructors, and other healthcare professionals to strengthen clinical education.
Contribute to curriculum development and periodic revision based on current healthcare practices, clinical requirements, and emerging technologies.
Participate in departmental meetings, academic committees, accreditation activities, quality initiatives, and institutional programmes.
Contribute to the development of a clinically relevant, evidence-based, technology-enabled, and student-centred nursing education environment.
M.Sc. Nursing with specialization in Medical Surgical Nursing from a recognized institution.
Ph.D. in Nursing will be an added advantage.
Valid registration with the appropriate State Nursing Council / Indian Nursing Council, as applicable.
Additional qualifications or certifications in nursing education, healthcare technology, simulation-based education, or related areas will be advantageous.
Relevant teaching experience in Medical Surgical Nursing will be preferred.
Clinical experience in medical-surgical wards, specialty units, critical care, emergency care, or other relevant hospital settings will be an advantage.
Experience in clinical supervision, student mentoring, curriculum development, assessment, and nursing research is desirable.
Candidates should demonstrate the ability to effectively connect classroom teaching with current clinical practice.
Candidates should have strong knowledge and teaching capability in areas such as:
Medical Surgical Nursing
Adult Health Nursing
Clinical Nursing Practice
Medical Nursing
Surgical Nursing
Perioperative Nursing
Emergency and Trauma Nursing
Critical Care Nursing
Cardiovascular Nursing
Respiratory Nursing
Neurological Nursing
Gastrointestinal Nursing
Renal and Urological Nursing
Endocrine Nursing
Orthopaedic Nursing
Oncology Nursing
Geriatric Nursing
Rehabilitation and Palliative Care
Infection Prevention and Patient Safety
The ideal candidate should demonstrate:
Strong academic and clinical knowledge of Medical Surgical Nursing
Excellent clinical teaching and student-supervision skills
Ability to explain complex clinical concepts clearly and practically
Strong clinical reasoning and problem-solving abilities
Competence in case-based and simulation-based teaching
Effective communication, presentation, mentoring, and interpersonal skills
Ability to guide students in evidence-based nursing practice
Commitment to patient-centred care and professional nursing ethics
Research orientation and interest in academic publication
Ability to work effectively with multidisciplinary healthcare teams
Digital literacy and willingness to adopt AI-enabled teaching and learning tools
Commitment to continuous professional learning and academic development
As JKKN is an AI-empowered institution, the Assistant Professor is expected to actively explore appropriate applications of AI and digital technologies within Medical Surgical Nursing education.
This may include:
Using AI-assisted tools to develop clinical case scenarios, learning resources, quizzes, and revision materials.
Supporting personalized learning based on individual student needs.
Using digital patient cases and simulation technologies to strengthen clinical reasoning.
Introducing students to AI-supported clinical information and decision-support concepts while emphasizing professional judgement.
Using digital platforms for assessment, feedback, academic communication, and student engagement.
Guiding students to critically evaluate AI-generated clinical information against authoritative nursing and medical sources.
Exploring applications of AI and data analytics in patient monitoring, risk identification, clinical documentation, nursing education, and patient outcomes.
Promoting responsible AI use with strict attention to patient privacy, confidentiality, ethics, academic integrity, and professional accountability.
The faculty member should help students understand that modern nursing requires both technological competence and human competence - technology may assist clinical practice, but empathy, observation, communication, critical thinking, and professional judgement remain fundamental to nursing.
The successful candidate will be expected to contribute actively to the academic growth of the department and the professional development of students. The faculty member should demonstrate initiative, integrity, clinical credibility, academic curiosity, adaptability, and a commitment to continuous improvement.
The role is particularly suited to a nursing educator who is prepared to contribute to the transformation of Medical Surgical Nursing education through clinical excellence, innovative pedagogy, research, simulation, digital learning, and responsible use of Artificial Intelligence.
Compensation will be commensurate with qualifications, relevant teaching and clinical experience, research profile, expertise, and institutional norms. Salary will not be a limiting factor for the right candidate.