Data-Driven Marketing Scholar: Data Science for Marketing

NOVA IMS; Lisboa; On-site; EUR 45,000 - 70,000; Full time

Job summary

NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, invites expressions of interest for an Assistant Professor position in Data-driven Marketing with a special focus on Data Science for Marketing. The position is in Lisbon, Portugal, with salary and conditions commensurate with qualifications.

The successful candidate will teach graduate courses in Data Science for Marketing, Big Data in Marketing, Machine Learning in Marketing and AI in Marketing, supervise Masters and

Qualifications

• PhD or doctoral degree from a recognized university.
• Excellent scientific achievements, documented by internationally recognized publications.
• Excellent didactic skills and teaching ability at the graduate level.
• Ability to supervise Master’s and PhD/Doctoral students.
• Ability to develop pedagogical innovations and manage a programme.
• Proficient in English (oral and written) and ability to teach in English.
• Collaborative, initiative-driven, organized, and able to work interdisciplinary.

Responsibilities

• Teach graduate courses in Marketing data science areas.
• Contribute to curriculum development and programme coordination.
• Engage in national and international research funding and projects.

Skills

Data Science for Marketing

Big Data in Marketing

Machine Learning in Marketing

Artificial Intelligence in Marketing

Python

Proficient in English

Ability to teach in English

Education

PhD or Doctoral Degree

Tools

Python

Job description

NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, invites expressions of interest for an Assistant Professor position in Data-driven Marketing with a special focus on Data Science for Marketing. The position is in Lisbon, Portugal, with salary and conditions commensurate with qualifications.

The successful candidate will teach graduate courses in Data Science for Marketing, Big Data in Marketing, Machine Learning in Marketing and AI in Marketing, supervise Masters and