Associate Professor Data Mining and Big Data 2
Grupo CEU·Barcelona, Spain
What they offer
Part-time hours
Per the ad.
What they ask for
Have the right to work in Spain
Grupo CEU doesn't mention sponsorship in the ad.
Speak native-level Spanish
Listed as a requirement in the ad.
Work in English
English is required, per the ad.
Work on-site in Barcelona
No relocation package mentioned.
Have 2+ years of experience
Mid-level role.
Pulled from the advert automatically — the full ad is what counts.
This job was published 4 months ago
About the role
The Universitat Abat Oliba CEU is seeking an Associate Professor of Data Mining and Big Data 2 to join the Department of Business at the Faculty of Business and Law to teach the following course:
Languages
· C1 level of English.
Subjects
Requirements:
· Foundations of Data Mining and Big Data 2 (Bachelor's Degree in Business Intelligence): An in-depth course covering machine learning, simulation, optimization, and neural networks, model validation, and business-focused interpretation.
Required training
Required education:
·Bachelor's degree in Statistics, Applied Mathematics, AI, or related fields.
·A PhD in AI, statistics, or quantitative disciplines is valued.
· Specific knowledge related to the subject to be taught.
Professional and teaching experience
Professional experience related to the subject matter to be taught
Experience in advanced predictive models and machine learning
Minimum of 2 years of teaching experience
Experience in advanced analytics projects
.
Competencies and skills
Skills and abilities:
· Communication skills, both oral and written.
· Ability to generate impact and motivate students.
· Pedagogical skills (use of a wide range of teaching and digital resources, application of different teaching methodologies).
· High emotional intelligence: self-motivation, empathy, and influence.
· Commitment and dedication.
About the role
La Universitat Abat Oliba CEU busca Profesor/a Asociado/a de Minería de Datos y Big Data 2 para incorporarse en el Departamento de Empresa de la Facultad Derecho y Empresa para impartir la siguiente asignatura:
Languages
Idiomas:
·Nivel de inglés C1.
Asignaturas
· Fundamentos de la Minería de Datos y Big Data 2 (Grado en Inteligencia de Negocios): Asignatura de profundización en machine learning, simulación, optimización y redes neuronales, validación de modelos e interpretación aplicada a negocio.
Formación requerida
·Licenciatura/Grado en Estadística, Matemática Aplicada, IA o áreas afines.
·Valorable doctorado en IA, estadística o disciplinas cuantitativas
·Conocimientos específicos relacionados con la materia a impartir.
Experiencia profesional y docente
Experiencia profesional relacionada con la materia a impartir
Experiencia en modelos predictivos avanzados y machine learning
Experiencia docente mínima de 2 años
Experiencia en proyectos de analítica avanzada
.
Competencias y habilidades
·Capacidad de comunicación, oral y escrita.
·Capacidad para generar impacto y motivar a los estudiantes.
·Habilidades pedagógicas (uso de un amplio abanico de medios didácticos y digitales, aplicación de diferentes metodologías de enseñanza).
·Elevada inteligencia emocional: automotivación, empatía e influencia.
·Implicación y compromiso.
This job was automatically translated to English, .