Job Description
Position: Data Science Lecturer
Company: University of Tunis El Manar
Location: Tunis, Tunisia
Experience: 5+ years teaching or industry experience in data science
Education: Ph.D. in Computer Science, Data Science, or related field
Employment Type: Full-time
Industry: Higher Education
Department: Computer Science Department
Salary: 3000 – 5000 SSP per month
Vacancies:1
Company Overview
The University of Tunis El Manar is a leading public research university in Tunisia, renowned for its commitment to academic excellence, innovative research, and community engagement. As part of the broader Tunisian higher education system, the university attracts a diverse body of students and scholars from across the region, offering a vibrant environment for intellectual growth. With state‑of‑the‑art laboratories, collaborative research centers, and strong industry partnerships, the university provides an ideal platform for professionals seeking career opportunities in Tunisia Jobs and a dynamic academic setting. The institution’s mission emphasizes quality teaching, cutting‑edge research, and societal impact, making it a top choice for those looking for Jobs in Tunisia within the education sector.
Job Overview
The Data Science Lecturer will join the Computer Science Department to design, deliver, and continuously improve undergraduate and graduate courses in data science, machine learning, and big data analytics. This role involves developing curriculum aligned with international standards, supervising student projects, and contributing to research initiatives that advance the university’s reputation. The successful candidate will also engage with industry partners to create internship opportunities and applied research collaborations, supporting the university’s goal of fostering employable graduates and driving innovation in the region. For more information about the university and its initiatives, visit the main website https://tunisiajobsearch.com.
Key Responsibilities
- Design and teach undergraduate and graduate courses in data science, machine learning, statistical modeling, and data visualization.
- Develop course materials, assignments, and assessments that reflect current industry practices and research trends.
- Supervise bachelor’s, master’s, and Ph.D. student theses and capstone projects.
- Conduct and publish high‑quality research in reputable journals and conferences.
- Collaborate with industry partners to secure internships, guest lectures, and joint research projects.
- Participate in departmental meetings, curriculum reviews, and accreditation activities.
- Mentor junior faculty and contribute to faculty development programs.
Required Skills
- Deep expertise in data science methodologies, including supervised and unsupervised learning, deep learning, and data engineering.
- Proficiency in programming languages such as Python, R, and SQL, and familiarity with big data platforms like Hadoop or Spark.
- Strong analytical and problem‑solving abilities with a track record of applied research.
- Excellent communication and presentation skills in both Arabic and English.
- Experience in curriculum development and modern pedagogical techniques.
- Ability to foster interdisciplinary collaboration and engage with industry stakeholders.
Education
A doctoral degree (Ph.D.) in Computer Science, Data Science, Statistics, Applied Mathematics, or a closely related discipline is required. Candidates with a strong publication record and evidence of teaching excellence will be given priority.
Experience
Applicants must have a minimum of five years of relevant experience, either as a university lecturer, researcher, or senior data science professional in industry. Demonstrated success in securing research funding and establishing industry collaborations is highly valued.
Salary
The position offers a competitive salary ranging from 3000 to 5000 SSP per month, commensurate with qualifications and experience. Additional performance‑based incentives and research grants may be available.
Benefits
- Comprehensive health insurance coverage.
- Retirement and pension plans.
- Annual leave and public holidays in accordance with Tunisian labor law.
- Professional development budget for conferences, workshops, and certifications.
- Access to university facilities, including libraries, sports centers, and research labs.
Training
- Orientation program for new faculty members.
- Ongoing pedagogical workshops and teaching excellence seminars.
- Opportunities to attend international research collaborations and exchange programs.
Working Environment
The university provides a collaborative, multicultural, and intellectually stimulating environment. Faculty members work in modern classrooms equipped with advanced teaching technologies, and have access to cutting‑edge research labs. The campus is located in the heart of Tunis, offering easy access to public transportation, cultural attractions, and a vibrant urban lifestyle.
Application Process
Interested candidates should submit an online application through the university’s recruitment portal, including a cover letter, curriculum vitae, research statement, teaching philosophy, and copies of academic transcripts. Applications will be reviewed on a rolling basis until the position is filled. For detailed application instructions, please visit the additional resource page https://www.nigeriajobsearch.com/.
Equal Opportunity Statement
The University of Tunis El Manar is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, nationality, religion, or disability. All qualified applicants will receive consideration for employment without discrimination.