Data Mining - Professor Vacancy in Guhwati, Assam
The Assam Royal Global University
Job Description
The Assam Royal Global University thrives on a culture where curiosity meets opportunity. Faculty here are encouraged to blend classroom teaching with real-world problem-solving, creating an environment where students learn not just theory but also how to apply it. The university’s modern infrastructure supports this blend, with smart classrooms, research labs, and collaborative spaces that encourage both students and teachers to explore new ideas.
About This Role
The Data Mining Professor role at The Assam Royal Global University is designed for an expert who can lead advanced courses, mentor students, and contribute to cutting-edge research. This full-time position demands a blend of academic rigor and practical insight, ensuring students are prepared for both industry roles and higher studies. The role is open to candidates with a strong background in data mining, machine learning, and related fields.
Work Culture
The university provides a modern work environment with digital classrooms, high-speed computing facilities, and dedicated research centers. Faculty members have access to funding for projects, conference participation, and collaborations with national and international institutions. The culture encourages innovation, with regular workshops, guest lectures, and interdisciplinary research opportunities.
Day-to-Day Duties
Teaching undergraduate and postgraduate courses in Data Mining, Machine Learning, and related subjects is a core responsibility. The role involves designing curriculum, delivering lectures, and evaluating student performance through assignments, projects, and exams. Advising students on academic and career paths is also part of the job, ensuring they make informed decisions.
Academic administration duties include participating in departmental meetings, contributing to syllabus development, and guiding PhD scholars. Faculty members are expected to supervise research projects, publish papers in peer-reviewed journals, and present findings at conferences. Collaborating with industry partners for internships and live projects is another key aspect.
Eligibility Criteria
A PhD in Data Mining, Computer Science, or a closely related field from a recognized university is mandatory. Candidates must have at least five years of teaching or industry experience, with a focus on data mining applications. NET/SLET qualification is required if the PhD is not completed. Prior experience in curriculum development and research supervision is preferred.
Candidates with industry exposure in data analytics, business intelligence, or related domains will be given preference. The ability to integrate practical case studies into teaching is highly valued. Familiarity with tools like Python, R, Weka, or Apache Spark is essential for both teaching and research.
Learning and Development
The Assam Royal Global University supports faculty growth through international collaborations, funded conference travel, and sabbatical opportunities. Faculty members are encouraged to engage in joint research with global institutions and participate in workshops to stay updated with industry trends. Internal funding is available for innovative research projects.
Regular faculty development programs are organized to enhance teaching and research skills. The university also facilitates partnerships with tech companies for joint projects and internships. These initiatives ensure that faculty members remain at the forefront of their fields while contributing meaningfully to the institution.
Salary and Benefits
The monthly salary for this position ranges from Rs.75,000 to Rs.120,000, based on qualifications and experience. Additional benefits include health insurance, provident fund contributions, and housing allowances for eligible candidates. Faculty members also receive support for professional development activities.
Other perks include access to campus amenities, travel grants for academic purposes, and a conducive work environment. The university prioritizes work-life balance, ensuring faculty have the resources and support needed to excel in their roles.