Part Time Faculty - Data Science

Position Summary:

As an experienced online educator (LINC Fellow), the candidate will work as an independent contractor of LINC and serve a diverse international student body for Masters-level programs studying at premier Australian and Asian universities in the domains of Data Science. The educator will be responsible for the day-to-day academic support and delivery responsibilities, working under the guidance of an experienced university faculty member. Additionally, the LINC Fellow will receive specialized training and active mentorship from LINC's team to excel at online teaching.

A Master's degree or higher in a related field is mandatory, and the candidate must have advanced experience in AI/ML, Cloud Infrastructure, Deep Learning, Data Ethics, Data Mining, and Data Visualization.

About LINC Education:

LINC Education (www.linceducation.com), based in Singapore, with teams in Australia, India, the UK and the US, is a global pioneer in providing high-touch, high-quality educator-led online teaching services to globally ranked universities around the world. Our specialist services are highly sought after by university managements and faculty to retain and grow their online student enrolments. LINC's services are customized for each university,and delivered using a cutting-edge technology platform (LINCtrac) to provide a superior and effective learning experience to students. Since 2017, we have delivered online degrees on behalf of our partners to over 30,000 students across multiple disciplines with our 700+ globally located educators.

LINC is managed by education sector professionals with more than 50 years of combined experience and overseen by an advisory board of the best academic professionals in the world. Dr. Christopher Brook (Ex-Dean, Edith Cowan University and Curtin University), Dr. M Rammohan Rao (ex-Dean, Indian School of Business and ex-Director, IIM Bangalore) and Deepak Chandra (ex-Deputy Dean, Indian School of Business) are members of the LINC Board of Advisors.

In 2022, OES, Australia's largest online education company, became one of our investors through which we joined SEEK's (SEK.AX) Education Portfolio.

What's on offer

The contract-based role offers a competitive remuneration typically between INR 60,000 - 100,000 per unit (based on term duration, scope of work, committed weekly time, batch size and experience level of the LINC Fellow) when actively engaged, plus up to 40% performance-based incentives.

Professional benefits include:

• Working on behalf of globally ranked and recognised universities
• Interacting with and learning from with high-quality university faculty;
• Working with a diverse range of international students;
• Specialized training for online teaching and delivery
• Active mentoring for professional growth
• Improving interpersonal and cross-cultural skills.

The role is part-time (15-20 hours per week) with scheduled weekend availability. Educators will have the flexibility to work from a location of their convenience.

Roles & Responsibilities:

LINC Fellows will be responsible for providing:

• Subject matter guidance to a group of 25-30 postgraduate online students;
• Support in learning skills like academic writing, research and time management;
• 1:1 and small group tutoring sessions;
• Guidance on relevant reference material;
• Assessment marking with long-form feedback
• Management of discussion forums; and
• Proactive, prompt and personalised support to student queries and issues.

LINC Fellows will be expected to promptly interact with students over email, or calls / online sessions from locations of their convenience (e.g. home, office etc.).

Key skills:

• Clustering Concepts and Algorithms
• Advanced Machine Learning Techniques
• Data Mining Algorithms
• Machine Learning Optimisations - latent dirichlet allocation, linear regression and logistic regression, Naive Bias Classifier Models, DB Scan, K means, Apriori algorithm, pattern mining, clustering models and cluster analysis, dimensional reduction and latent variable models
• Supervised machine learning in business
• Software architecture models
• K means techniques
• Estimation techniques using Python.

Desired candidate profile:

• PG/Doctoral degree with distinction or first-class from a top university in India
• At least 5 years of corporate experience and/or teaching experience in any of the following fields at a leading university or college (Note: At least 3 years formal teaching experience at a university or college is a MUST);
• Empathetic, ambitious, warm and outgoing personality willing to work closely with people from diverse culture;
• Proficient in English language; excellent oral and written communication
• Must possess a working laptop and have access to high-speed (>10 MBPS) stable internet connection;
• Ability to quickly learn and use technology platforms for interacting with students including host university's LMS and LINCtrac (training on these platforms will be provided).

The candidate needs to be available between 12pm to 6pm everyday.

If you wish to apply, please share your updated resume at [HIDDEN TEXT]