Job Description:
Designation: Professor
Desired Skillset:
- Applicants should preferably hold a Ph.D. in the relevant subject from reputed Institutions.
- Should have sufficient experience in Teaching, Industry & Research with reputed Institutions.
- Should have research papers published in International / National Journals.
- Should have books published and Scholars awarded / currently working for.
- Applicants with patents registered / consultancy works carried out will be given preference.
- Exposure in handling high-value funded projects will be an added advantage
Preferred Qualifications:
- M.E./M.Tech.with Ph.D. in the disciplines of Computer Science and Engineering/ Data Analytics, Data Science/ Data Mining/ Information and Communication Technologies With hands-on skills in Data Visualization, Predictive & Forecasting Analytics using regression, Text Analytics and NLP and Big Data Technologies, Decision Making and other relevant areas.
Essential requirement:
- B.E/B.Tech. & M.E./M.Tech. with good academic record in relevant branch with 1st class and Ph.D. in appropriate discipline.
- Post Ph.D. publications and guiding Ph.D. students is highly desirable. Minimum of 10 years Teaching / Research / Industrial experience of which at least 5 years should be at the level of Associate Professor.
- If the experience in industry is considered, the same shall be at managerial level equivalent to Associate Professor with active participation record in devising / designing, planning, executing, analyzing, quality control, innovating, training, technical books / research paper publications / IPR / patents, etc.
- A person of high energy, absolute integrity, enthusiastic optimism and the perseverance to bring initiatives.
Areas of Specializations:
- Mobile Application Development
- Deep Learning
- Block chain Technologies
- Internet of Things
- Artificial Intelligence
- Machine Learning
- Natural Language Processing
- Computer Vision
- Big data Engineering
Responsibilities:
Academics:
- Classroom presentation
- Laboratory Instructions
- Development Learning of Resource Materials & Laboratory Development
- Student Assessment & Evaluation including Examination work of University.
- Participation in Co-curricular & extracurricular activities
- Student’s guidance, counseling & helping in their personal, ethical, moral, and overall character development.
- Keeping abreast of new knowledge and skills, help to generate new knowledge and help dissemination of such knowledge through books, publications, seminars, handouts, etc.
- Continuing Education Activities Self-development through upgrading qualifications, Experience & Professional activities
Research Consultancy:
- Research development activities & Research guidance
- Industry sponsored projects
- Providing consultancy and testing services
- Promotion of industry–institution interaction and R & D
Academic / Administration:
- Academic and Administrative management of the institution
- Policy planning, monitoring & evaluation, and promotional activities; both at the department level and institution level
- Design and development of a new programme.
- Preparing projects for funding in areas of R&D work, laboratory development, modernization, expansion, etc.
- Administration both at departmental & institutional levels
- Development, administration, and management at Institutional levels
- Monitoring and evaluation of academic and research activities
- Participation in policy planning at the Regional / National level for the Development of Technical Education
- Helping mobilization of resources for the Institution
- Develop, update and maintain MIS
- Plan and implement Staff Development activities, conduct Performance Appraisal
- Maintain Accountability
- Extension / Industrial Connectivity
- Interaction with Industry and Society
- Participation in Community services
- Providing R&D support and consultancy services to Industry and other user agencies
- Providing non-formal modes of education for the benefit of the Community
- Promotion of Entrepreneurship and Job rotation
- Dissemination of knowledge
- Providing Technical support in areas of social relevance
- Apart from the above duties, any other relevant work is assigned by the Dean of the respective schools.
Department:
Data Sciences
Skills Required: Teaching, Research
Job Description:
Designation: Associate Professor
Desired Skillset:
- Applicants should preferably hold a Ph.D. in the relevant subject from reputed Institutions.
- Should have sufficient experience in Teaching, Industry & Research with reputed Institutions.
- Should have research papers published in International / National Journals.
- Should have books published and Scholars awarded / currently working for.
- Applicants with patents registered / consultancy works carried out will be given preference.
- Exposure in handling high-value funded projects will be an added advantage.
Preferred Qualifications:
- M.E./M.Tech. with Ph.D. in the disciplines of Computer Science and Engineering/ Data Analytics, Data Science/ Data Mining/ Information and Communication Technologies With hands-on skills in Data Visualization, Predictive & Forecasting Analytics using regression, Text Analytics and NLP and Big Data Technologies, Decision Making and other relevant areas.
Essential requirement:
- B.E/B.Tech. & ME/M.Tech. with good academic record in relevant branch with 1st class and Ph.D. in appropriate discipline.
- Ph.D. with at least 5 Years of Experience at the level of Assistant Professor.
- Post Ph.D. publications and guiding Ph.D. students is highly desirable.
- A person of high energy, absolute integrity, enthusiastic optimism and the perseverance to bring initiatives.
Areas of Specializations:
- Mobile Application Development
- Deep Learning
- Block chain Technologies
- Internet of Things
- Artificial Intelligence
- Machine Learning
- Natural Language Processing
- Computer Vision
- Big data Engineering
Responsibilities:
Academics:
- Classroom presentation
- Laboratory Instructions
- Development Learning of Resource Materials & Laboratory Development
- Student Assessment & Evaluation including Examination work of University.
- Participation in Co-curricular & extracurricular activities
- Student’s guidance, counseling & helping in their personal, ethical, moral, and overall character development
- Keeping abreast of new knowledge and skills, help to generate new knowledge and help dissemination of such knowledge through books, publications, seminars, handouts, etc.
- Continuing Education Activities Self-development through upgrading qualifications, Experience & Professional activities
Research Consultancy:
- Research development activities & Research guidance
- Industry sponsored projects
- Providing consultancy and testing services
- Promotion of industry–institution interaction and R & D
Academic / Administration:
- Academic and Administrative management of the institution
- Policy planning, monitoring & evaluation, and promotional activities; both at the department level and institution level
- Design and development of a new programme.
- Preparing projects for funding in areas of R&D work, laboratory development, modernization, expansion, etc.
- Administration both at departmental & institutional levels
- Development, administration, and management at Institutional levels
- Monitoring and evaluation of academic and research activities
- Participation in policy planning at the Regional / National level for the Development of Technical Education
- Helping mobilization of resources for the Institution
- Develop, update and maintain MIS
- Plan and implement Staff Development activities, conduct Performance Appraisal
- Maintain Accountability
- Extension / Industrial Connectivity
- Interaction with Industry and Society
- Participation in Community services
- Providing R&D support and consultancy services to Industry and other user agencies
- Providing non-formal modes of education for the benefit of the Community
- Promotion of Entrepreneurship and Job rotation
- Dissemination of knowledge
- Providing Technical support in areas of social relevance
- Apart from the above duties, any other relevant work is assigned by the Dean of the respective schools
Department:
Data Sciences
Skills Required:
Teaching, Research
Job Description:
Designation: Assistant Professor
Desired Skillset:
- Applicants should preferably hold a Ph.D. in the relevant subject from reputed Institutions.
- Should have sufficient experience in Teaching, Industry & Research with reputed Institutions.
- Should have research papers published in International / National Journals.
- Should have books published and Scholars awarded / currently working for.
- Applicants with patents registered / consultancy works carried out will be given preference.
- Exposure in handling high-value funded projects will be an added advantage
Preferred Qualifications:
M.E./M.Tech./Ph.D. in the disciplines of Computer Science and Engineering/ Data Analytics, Data Science/ Data Mining/ Information and Communication Technologies With hands-on skills in Data Visualization, Predictive & Forecasting Analytics using regression, Text Analytics and NLP and Big Data Technologies, Decision Making and other relevant areas.
Essential requirement:
- B.E/B.Tech. & ME/M.Tech. with good academic record in relevant branch with 1st class and Ph.D. in appropriate discipline is desirable.
- A person of high energy, absolute integrity, enthusiastic optimism and the perseverance to bring initiatives.
Areas of Specializations:
- Mobile Application Development
- Deep Learning
- Block chain Technologies
- Internet of Things
- Artificial Intelligence
- Machine Learning
- Natural Language Processing
- Computer Vision
- Big data Engineering
Responsibilities:
Academics:
- Classroom presentation
- Laboratory Instructions
- Development Learning of Resource Materials & Laboratory Development
- Student Assessment & Evaluation including Examination work of University.
- Participation in Co-curricular & extracurricular activities
- Student’s guidance, counseling & helping in their personal, ethical, moral, and overall character development
- Keeping abreast of new knowledge and skills, help to generate new knowledge and help dissemination of such knowledge through books, publications, seminars, handouts, etc.
- Continuing Education Activities Self-development through upgrading qualifications, Experience & Professional activities
Research Consultancy:
- Research development activities & Research guidance
- Industry sponsored projects
- Providing consultancy and testing services
- Promotion of industry–institution interaction and R & D
Academic / Administration:
- Academic and Administrative management of the institution
- Policy planning, monitoring & evaluation, and promotional activities; both at the department level and institution level
- Design and development of a new programme.
- Preparing projects for funding in areas of R&D work, laboratory development, modernization, expansion, etc.
- Administration both at departmental & institutional levels
- Development, administration, and management at Institutional levels
- Monitoring and evaluation of academic and research activities
- Participation in policy planning at the Regional / National level for the Development of Technical Education
- Helping mobilization of resources for the Institution
- Develop, update and maintain MIS
- Plan and implement Staff Development activities, conduct Performance Appraisal
- Maintain Accountability
- Extension / Industrial Connectivity
- Interaction with Industry and Society
- Participation in Community services
- Providing R&D support and consultancy services to Industry and other user agencies
- Providing non-formal modes of education for the benefit of the Community
- Promotion of Entrepreneurship and Job rotation
- Dissemination of knowledge
- Providing Technical support in areas of social relevance
- Apart from the above duties, any other relevant work is assigned by the Dean of the respective schools
Department:
Data Sciences
Skills Required:
Teaching, Research