GSMI - Assistant Professor in Data Science

4 Apr 2024
Job Information

Organisation/Company

MOHAMMED VI POLYTECHNIC UNIVERSITY

Research Field

Computer science

Researcher Profile

Recognised Researcher (R2)
First Stage Researcher (R1)

Country

Morocco

Application Deadline

3 May 2024 - 00:00 (UTC)

Type of Contract

Permanent

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

About Mohammed VI Polytechnic University (UM6P):

Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and innovation. On a specific focus on Africa, UM6P aims to position these fields as the forefront and become a university of international standing. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities, for students, professors, and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level to address real challenges. All our programs run as start-ups and can be self-organized when they reach a critical mass. Thus, academic liberty is promoted as far as funding is developed by research teams. The research programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems.

About GSMI:

The Geology & Sustainable Mining Institute (GSMI) is dedicated to advancing cutting-edge research in the field of sustainable mine site reclamation. Our mission encompasses a broad spectrum of expertise, focusing on the Mine Effluent Reclamation and Phytomanagement research axis. Within this axis, a significant area of interest involves conducting research to rehabilitate degraded sites, with a specific emphasis on understanding the intricate relationships between plants and mine substrates. This understanding is pivotal for ensuring the long-term success of mine site reclamation, addressing the challenges posed by mine wastes and optimizing vegetation establishment.

Our commitment extends to the development and implementation of sustainable, nature-based technologies capable of effectively managing large volumes of mining wastes. The overarching objective is to minimize environmental impact while concurrently preserving and promoting biodiversity within mining areas. Our vision is centered on establishing a mining industry that is not only sustainable but also prioritizes environmental protection, local biodiversity, and community health.

To realize this vision, we are dedicated to formulating and implementing best practices for mine solid waste management. As part of the Mine Effluent Reclamation and Phytomanagement research axis, GSMI strives to foster a culture of innovation and collaboration. We actively engage with industry partners, government agencies, and local communities to create a collaborative approach toward achieving sustainable mining practices. Through these efforts, we aim to contribute to the transformation of the mining industry into an environmentally conscious and socially responsible sector, dedicated to the well-being of both ecosystems and communities.

Job Description

The Geology and Sustainable Mining Institute (GSMI) of Mohammed VI Polytechnic University (UM6P) invites applications for a full-time Professor position in data science applied to geosciences, with a particular focus on the use of AI in mineralogy, ore processing, water treatment, and prediction of geochemical behavior of solid mine waste. 

The expected start date is December 1st, 2024. The appointment will be at the professor level depending on the CV and experience of the successful candidate.

The candidate is expected to combine machine learning and geosciences to develop innovative research related to geo-informatic. We seek candidates whose research interests complement and enhance the existing GSMI strengths. The candidate must demonstrate a proven ability to design, coordinate and organize scientific research projects, as well as to establish intra and extramural funded research programs. The ability to develop partnerships with industry and state entities is highly desirable. Finally, the candidate should demonstrate good address for meeting and conferring with others, and potential for academic and scientific leadership. Strong skills in coding using R, Python and Matlab will be a plus. The successful candidate will contribute to building a solid research portfolio at the Institute. 

Areas of research:

• Geo-informatic / Geo-statistics/ Numerical modeling
• Data analysis 
• Ore mineralogy
• Geographical information systems / remote sensing

Application and Selection

Required documents:

• Curriculum Vitae, 
• Application letter, 
• Statement of research interests and plans, 
• Statement of teaching interests and experience, 
• 3 reference letters.

Requirements
Additional Information
Where to apply

Website

https://www.timeshighereducation.com/unijobs/listing/368627/gsmi-assistant-prof…

STATUS: EXPIRED