Information System Lecturer

Responsibilities:

• Fulfill the Tri Dharma obligations of the university, which encompass Teaching, Research, and Community Service

• Teach Information System courses with a specific focus on Data Engineering and Data Science.

• Engage in scholarly activities, including research, publication, and conference presentations, to contribute to the advancement of knowledge in the field.

• Provide academic guidance and support to students, including advising on course selection, research projects, and career opportunities.

• Participate in departmental meetings, committees, and other academic activities to contribute to the development and enhancement of academic programs.

• Contribute to the assessment and evaluation of student learning outcomes through grading assignments, exams, and other assessments.

• Maintain accurate records of student attendance, grades, and academic performance in accordance with university policies and procedures.

• Collaborate with colleagues within the department and across disciplines to promote interdisciplinary research and teaching initiatives.

• Stay updated on developments and trends in the field through professional development activities, conferences, and networking opportunities.

• Fulfill administrative duties as assigned by the department chair or academic supervisor.

Minimum Qualifications:

• Master’s degree in Information System, Data Science, Computer Science, Industrial Engineering, or related fields.

• Demonstrated ability to teach and communicate effectively in English, as the medium of instruction at JIU is 100% English.

• Knowledge of or prior experience with academic accreditation processes.

• Strong knowledge or practical experience in Data Engineering and Data Science.

• Strong knowledge or practical experience in Cloud (AWS, Google Cloud, or Azure)

• Experience in working in a diverse, multicultural environment.

• Proficiency in using Google Workspace and/or other productivity tools.

• Proficiency in Python and Java programming.

Preferred qualifications:

• Professional-level Cloud Certification (AWS, Google Cloud, Azure, or others).

• Ph.D. degree in Information Systems, Data Science, Computer Science, Operations Research, Industrial Engineering, or related fields.

• Experience in working as a Head of Department (Ka Prodi/Kepala Program Studi) or Dean.

• Experience and proficiency in any of the fields below:

• Data Pipeline products (Beam, Spark, HDFS, Airflow, Kafka, etc.).

• Distributed systems and Kubernetes (Docker, GKE, Knative, Istio, etc.).

• ERP systems (SAP).

• Optimization theory (Linear Programming, Mix-integer Programming).

• Cloud Architecture and/or Data Pipelining.

• Machine Learning and Artificial Intelligence.

• Tensorflow and Keras.