Perm State Humanitarian Pedagogical University

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Morocco

Position Announcement - Mohammed VI Polytechnic University (UM6P), College of Sustainable Agriculture and Environmental Science (CSAES), AgroBioSciences program (AgBS),

Job Title – Post-Doctoral Fellow in bioinformatics data analysis and mining   

Duration: 3 years

Location: Benguerir – Morocco

Keywords:

Computer science, Bioinformatics, Data science, Big Data, Machine learning, Deep learning

About UM6P:

Mohammed VI Polytechnic University (UM6P,https://www.um6p.ma/en) is an international higher education institution, established to provide research and innovation at the service of education and development for Morocco and the African continent. It has a state-of-the-art campus at the heart of the Green City of Benguerir, near Marrakesh. UM6P academics and staff enjoy strong research funding, moderate teaching loads, and excellent facilities. Its research approach is transdisciplinary with an emphasis on international collaboration. Many of our research programs run as start-ups. OCP group (http://www.ocpgroup.ma/en/home), a world leader in fertilizer production, is a major starter client for the University providing capital and research funds. In parallel, a new portfolio of clients is growing with the development of an R&D cluster around the University and a growing number of international partnerships.

About the College of Agriculture and Environmental Science (CAES) and AgroBiosciences Program (AgBS) at UM6P:

The College of Sustainable Agriculture and Environmental Science (CSAES) is a component of the Science & Technology pole of Mohammed VI Polytechnic University (UM6P). It constitutes a structure of higher education and practical-based research with a vision of solving real African agriculture challenges leveraging up to date science and technology. Oriented towards Africa, CSAES acts in connection with a wide network of universities and research centers around the continent in order to link real field issues with up to date science. Research on plant nutrition, abiotic stresses resistance and biofortification is part of the AgroBiosciences Program (AgBS) with main focus on Moroccan and African agriculture challenges in particular meeting the food and nutritional security.

About the PHENO-MA Platform:

The PHENO-MA is an innovative research platform for high-throughput plant phenotyping built and established at the University Mohammed VI Polytechnic (UM6P) in Benguerir – Morocco. It can be used to assess plant responses to nutrient deficiency, drought, high temperature, pests, and diseases, and exploring smart solutions to enhance resistance and boost crop productivity. The platform includes:


	An outdoor system with a (i) a fully automated lysimetric system with 1400 large container (mini-plots) to study water dynamics and drought scenarios simulation under close-to-field conditions, and (ii) a fully autonomous phenotyping robot, Phenomobile.v2+, equipped with a set of sensors (LiDAR, RGB, IR, and Spectrometer) that enable advanced plant measurements, that allow us to assess plant’s water budget in response to abiotic stress and nutrients’ application.
	An indoor system with (i) the phenotyping machines, "PhenoMerzouga.v2", which is a small-scale lysimetric system for simulating climate change scenarios, and (ii) 150 m² of growth chambers and speed breeding platform to accelerate the genetic gain and germplasm development.


Job description:

We are seeking applications for a Post-Doctoral Fellow in bioinformatics data analysis and mining    to support the implementation and the improvement of PHENO-MA phenotyping platform. The successful candidate will be responsible for working with a multidisciplinary team of researchers and engineers to design and develop data-driven and AI-driven solutions by leveraging various sources to help farmers make accurate decisions in order to improve crop yield. The position is part of the Crop Improvement laboratory and PHENO-MA phenotyping platform at UM6P. Good English communication skills; both verbal and written are required.

Main responsibilities:


	Work closely with a multidisciplinary team of researchers and engineers to develop and implement Data-driven and AI-driven solutions based on the collected data from the PHENO-MA plant phenotyping platform.
	Provide dedicated application support to projects through benchmarking, code optimization or code portability, scalability of applications, collaborations for projects requiring refactoring of codes,
	Collect and analyze data from various sources, including weather data, lysimetric robots’ data, and phenomobile.v2+ data, to develop predictive models and decision support tools,
	Perform cutting edge research tasks in the fields of deep learning-based crop yield prediction, plant growth prediction, deep learning-based genomic prediction.
	Contribute to the development and implement of a data management and quality control infrastructure/platform to ensure the accuracy and completeness of the collected data.
	Develop and implement data management and quality control procedures to ensure the accuracy and completeness of the collected data.
	Perform exploratory analyses from genomic/phenotype data for trait discovery and germplasm genetic diversity assessment in response to various plant stress conditions,
	Develop and implement data visualization tools to help users better understand and interpret the data.
	Conduct research on the latest deep learning techniques and identify potential areas of research application in the context of the PHENO-MA project.
	Continuously evaluate the latest packages and frameworks in the ML ecosystem
	Drive clarity and solve ambiguous, challenging business problems using data-driven & AI-driven approaches. Propose and own data analysis (including collecting, modeling, coding, analytics, and experimentation) to drive business insight and facilitate decisions.


Required qualifications 


	PhD degree in Computer Science, Bioinformatics, Machine Learning, or equivalent degree
	Advanced Know-How in the fields of Data engineering, Machine Learning and Deep Learning
	Experience in a research environment with a good track record
	High proficiency in Python and SQL, and ML/DL frameworks such as Tensorflow and PyTorch.
	Experience with exploratory data analysis, Data extraction/ingestion, statistical analysis and hypothesis testing, and model development.
	Understanding and implementation of project management best practices. In particular, the ability to manage multiple projects under strict timelines as well as the ability to work well in a demanding, dynamic environment and meet overall objectives
	Experience with Agile software development.
	Good English with excellent communications skills; able to communicate analytical and technical content in an easy to understand way to both technical and non-technical audiences.
	Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to desegregate issues, identify root causes and recommend solutions.


Preferred qualifications 


	Prior exposure to MLOps/DataOps processes and familiarity with associated platforms like MLflow and Airflow is considered an advantageous asset. Proficiency in MLOps implies a grasp of the end-to-end lifecycle management of machine learning models, encompassing model development, testing, deployment, monitoring, and continuous improvement.
	Academic experience in the field of crop improvement, plant phenotyping, precision agriculture or related fields is a plus.
	Experience with deep multimodal learning, computer vision, and advanced computer vision pre-trained models,
	Ability to customize and modify existing methodologies/loss-functions/algorithms/systems in order to achieve the business-results while managing operational risk.
	Experience with software REST API design.
	Prior exposure to containerization and DevOps methodology.
	Experience defining, driving, and executing low-level tasks to completion across multiple simultaneous activities.
	Experience writing quality, well-documented and well-tested code


Employment terms:

The successful candidate will be employed on a competitive salary by Mohammed VI Polytechnic University (UM6P) based in Benguerir, Morocco.

Applications and selection procedure:

Applications must be sent using a single electronic zipped folder with the mention of the job title in the mails subject. The folder must contain:


	Cover letter indicating the position applied for and the main research interests.
	Detailed CV.
	Contact information of 3 references (Applicants are assumed to have obtained their references’ consent to be contacted for this matter).


Applications are to be submitted directly on the hiring platform.

Contact information: moez.amri@um6p.ma


Mohammed VI Polytechnic University

 $78,975 per annum (plus 17% superannuation)

Australia, Mawson Lakes


	Based in UniSA STEM Unit at the Mawson Lakes Campus Location 
	Full-time, fixed term contract until December 2025
	Commencement salary; $78,975 per annum (plus 17% superannuation)


About the Role 

Reporting to the Team Leader: Industry Experience, you will provide high-level operational and project support for the Industry Experience (IE) program and broader Work Integrated Learning (WIL) initiatives in STEM. This customer-focused role utilises highly-developed administrative skills to facilitate marketing, communications, and stakeholder engagement to support student placements, internships, and professional practice activities, driving positive graduate outcomes.

About UniSA STEM

At the forefront of cross-disciplinary collaboration, UniSA STEM is developing the next wave of innovative thinkers and new possibilities. Harnessing connections across science, technology, engineering and mathematics, we create innovative solutions and groundbreaking developments across teaching, learning and research.

About UniSA 

The University of South Australia is Australia’s University of Enterprise. Our culture of innovation is anchored around global and national links to academic, research and industry partners. Our graduates are the new urban professionals, global citizens at ease with the world and ready to create and respond to change. Our research is inventive and adventurous and we create new knowledge that is central to global economic and social prosperity.

Essential Skills and Experience 


	Tertiary qualifications or equivalent skills, knowledge, and experience
	Proven ability to develop innovative solutions while ensuring compliance with policies, processes, and standards
	Highly developed communication and interpersonal skills, with experience facilitating discussions and engaging with stakeholders at all levels
	Strong organisational skills, including the ability to plan and manage the timely delivery of placement milestones
	Advanced analytical skills, with the ability to interpret data from various sources to provide strategic advice and recommendations to senior staff and stakeholders


Benefits 

Getting a great job working with the best is just the start. UniSA rewards its staff with a wide variety of benefits such as: 


	Access to great personal development opportunities 
	Generous superannuation contributions of 17% 
	Work life flexibility including working from home, family responsibility leave and individual flexibility agreements
	A range of salary packaging options, including vehicle leasing, laptops and car parking fees 
	A variety of leave arrangements


Culture 

At the University of South Australia, we value workplace diversity and are committed to providing a supportive, inclusive, and respectful work environment for all people. We strongly encourage applications from Aboriginal and Torres Strait Islander Peoples, women, members of the LGBTIQ+ community, people of culturally diverse backgrounds and people with disability.  

Start Your Unstoppable Career 

For a copy of the position description and to apply, please visit Working at UniSA. The online application form will list the specific selection criteria that you need to address.   

Please address your cover letter to Georgia Borg, Consultant: Recruitment Central.  For further information about the position or the recruitment process, please contact UniSA Recruitment Central on +61 8 8302 1700 or via email at recruitment@unisa.edu.au using job reference number 6894. 

Applications close: Monday 27 January 2025 11.30pm

We are committed to providing an equitable and barrier free recruitment process and encourage you to share any support, adjustments and/or access requirements you have by contacting our Recruitment Central team on recruitment@unisa.edu.au. Anything you tell us will be kept completely confidential.

Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment. 

CLICK HERE to access a copy of the Position DescriptionOpens in new window

How to apply:


	Preview Application FormOpens in new window


Applications must be lodged online, please note UniSA does not accept applications via email.


	Start your application by clicking the ‘BEGIN’ button
	If you have already registered for an account, please login before starting your application
	If you have forgotten your log in details, click here to reset your password
	You will be able to save your progress throughout your application


UniSA is committed to developing a diverse workforce and a constructive enterprising culture in which everyone can thrive.

By choosing to continue, you agree to the privacy policy. Show Privacy Policy


University of South Australia

Position Announcement - Mohammed VI Polytechnic University (UM6P), College of Agriculture and Environmental Science (CSAES), AgroBioSciences program (AgBS),

Job Title - Vacancy for Post-Doctoral Fellow in Plant Phenotyping and Image Analysis

Duration: 3 years

Location: Benguerir – Morocco

Areas of research:

Plant Phenotyping, Image Analysis,

About UM6P:

Mohammed VI Polytechnic University (UM6P,https://www.um6p.ma/en) is an international higher education institution, established to provide research and innovation at the service of education and development for Morocco and the African continent. It has a state-of-the-art campus at the heart of the Green City of Benguerir, near Marrakesh. UM6P academics and staff enjoy strong research funding, moderate teaching loads, and excellent facilities. Its research approach is transdisciplinary with an emphasis on international collaboration. Many of our research programs run as start-ups. OCP group (http://www.ocpgroup.ma/en/home), a world leader in fertilizer production, is a major starter client for the University providing capital and research funds. In parallel, a new portfolio of clients is growing with the development of an R&D cluster around the University and a growing number of international partnerships.

About the College of Agriculture and Environmental Science (CAES) and AgroBiosciences Program (AgBS) at UM6P:

The College of Agriculture and Environmental Science (CAES) is a component of the Science & Technology pole of Mohammed VI Polytechnic University (UM6P). It constitutes a structure of higher education and practical-based research with a vision of solving real African agriculture challenges leveraging up to date science and technology. Oriented towards Africa, CAES acts in connection with a wide network of universities and research centers around the continent in order to link real field issues with up-to-date science. Research on plant nutrition, (a)biotic stresses resistance and biofortification is part of the AgroBiosciences Program (AgBS) with main focus on Moroccan and African agriculture challenges in particular meeting the food and nutritional security.

About the PHENO-MA Platform:

The PHENO-MA is an innovative research platform for high-throughput plant phenotyping built and established at the University Mohammed VI Polytechnic (UM6P) in Benguerir – Morocco. It can be used to assess plant responses to nutrient deficiency, drought, high temperature, pests, and diseases, and exploring smart solutions to enhance resistance and boost crop productivity. The platform includes:


	An outdoor system with a (i) a fully automated lysimetric system with 1400 large container (mini-plots) to study water dynamics and drought scenarios simulation under close-to-field conditions, and (ii) a fully autonomous phenotyping robot, Phenomobile.v2+, equipped with a set of sensors (LiDAR, RGB, IR, and Spectrometer) that enable advanced plant measurements, that allow us to assess plant’s water budget in response to abiotic stress and nutrients’ application.
	An indoor system with (i) the phenotyping machines, "PhenoMerzouga.v2", which is a small-scale lysimetric system for simulating climate change scenarios, and (ii) 150 m² of growth chambers and speed breeding platform to accelerate the genetic gain and germplasm development.


Job description:

We are seeking a Post-Doctoral Fellow specializing in Plant Phenotyping using Image Analysis. The successful candidate will conceive state-of-the-art imaging technologies and data analysis methods for high throughput quantification of plant traits in response to various stresses and cropping systems. This role is critical for enhancing the understanding of genotype interactions with environmental factors and developing resilient crop varieties. The successful candidate is expected to work with an interdisciplinary team to develop research programs revolving around crop improvement. The position is part of the PHENO-MA platform team. Priority will be given to the candidates having research experience particularly in international research organizations and on African agricultural challenges. Evidence and excellence in research and teaching are required all with the ability to professional engagement with a diverse faculty, staff, and students across the university and externally are required. Good English communication skills; both verbal and written are required.

Main responsibilities:

The successful candidate is expected to:


	Develop and implement innovative image analysis methods to quantify plant characteristics.
	Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms.
	Apply machine learning and deep learning techniques to improve image processing and trait prediction.
	Analyze large datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress conditions.
	Implementing a multimodal approach for large-scale data analysis using CPU and GPU Solutions at the UM6P Data Center.
	Innovate and improve image analysis algorithms for plant trait quantification.
	Collaborate with international research teams and contribute to joint publications and presentations.
	Develop research proposals for funding from potential donors and prepare submissions for external, and international funding to support and maintain integrated research programs.
	Supervise graduate and undergraduate students, develop teaching materials, and attract high level-students.
	Contribute to the multidisciplinary research team in the development of the Crop Improvement team,
	Contribution to establishing and/or maintaining collaboration with other research entities at SAES college, UM6P and external partners,


Education, qualifications and experience 


	PhD in a relevant field such as plant sciences, computational biology, or bioengineering with a focus on image analysis.
	Proven experience with image processing software and techniques.
	Background in plant biology and physiology, especially related to stress responses.
	Experience with high-throughput phenotyping tools and data analysis.
	Publication record demonstrating expertise in phenotyping, image analysis, or related fields.
	High publication record; books, book chapters, and research papers in leading international and well-ranked journals.
	Excellent English communication skills, both verbal and written.
	Aptitude for teamwork, problem-solving and collaborative work.


Employment terms:

The successful candidate will be employed on a competitive salary by the University Mohammed VI Polytechnic (UM6P) based in Benguerir, Morocco.

Applications and selection procedure:

Applications must be sent using a single electronic zipped folder with the mention of the job title in the mails subject. The folder must contain:


	Cover letter indicating the position applied for and the main research interests.
	Detailed CV.
	Contact information of 3 references (Applicants are assumed to have obtained their references’ consent to be contacted for this matter).


Applications are to be submitted directly on the hiring platform.

Contact information: moez.amri@um6p.m


 $132,169 p.a. (pro-rata) plus up to 17% superannuation

Australia, Ballarat


	Part-time (0.5), continuing appointment
	Academic Level C - $132,169 p.a. (pro-rata) plus up to 17% superannuation


Institute of Health and Wellbeing - Ballarat Campus

About the role

As an integral member of our team, you will contribute to the development and delivery of units within psychology at undergraduate and graduate levels. You will also supervise students undertaking psychology placement within FedCare Psychology Services and contribute to the Institutes administrative functions.

You will:


	provide leadership in developing, teaching, coordinating, and moderating units in psychology;
	undertake teaching and assessment of undergraduate and postgraduate students;
	supervise students undertaking project units, honours courses and research higher degrees; and
	contribute to the management of the onsite clinic


About you

You will work as part of the institutes team of academic and administrative staff. You will possess proven educational, research and professional experience and seek to embed long and short-term research strategies for the institute within the strategic framework of the University and in accordance with its mission. You will be a creative thinker and avid problem solver, who possesses initiative, innovation, and a can-do attitude.

You will possess:


	general registration as a psychologist, clinical endorsement, and Board Approved supervisor status with AHPRA;
	demonstrated commitment to and enthusiasm for teaching and learning;
	capacity to teach foundation skills for clinical practice;
	capacity to support students completing placement; and
	ability to conduct and disseminate psychological research.


All University positions delivering education and/or services to children must hold a valid Working With Children Check (WWCC). Please refer to the position description for WWCC requirements.

How to apply

Please apply by Sunday, 2 February 2025

Applicants are required to submit a resume and response to key selection criteria.

View position description

Federation University is committed to The Circle Back Initiative program, whereby we will respond to every applicant.

If you are experiencing technical difficulties with your application, please email the Recruitment team or phone 03 5327 9756. Our position descriptions also list a contact person for job specific inquiries.

For more information on a career with us, please visit our website or let our staff tell you more https://www.youtube.com/watch?v=Xg_6dvxP8cA.


Federation University Australia

United Arab Emirates, Abu Dhabi

Description

The Division of Science at NYU Abu Dhabi is searching for accomplished faculty to conduct research and teach the next generation of global thinkers.

You are invited to apply for a tenured or tenure-track faculty position in Mathematics. Available openings are at the Assistant, Associate and Full Professor ranks. As part of a major multi-year growth plan and to support the launch of a Master’s program in Interdisciplinary Data Science and AI, the Mathematics Program at New York University Abu Dhabi (NYUAD) invites applications in all areas of mathematics.

We are especially interested in candidates whose research connect to theoretical foundations of machine learning, data science, or related fields, particularly those that align with or complement the program’s existing research strengths in:


	Geometry, Topology and Algebra. Examples of fields of interest within the Geometry, Topology and Algebra group: quantum topology, differential geometry, algebraic topology and algebraic geometry.
	Probability Theory and Statistical Mechanics. Examples of fields of interest within the Probability Theory and Statistical Mechanics group: high dimensional probability, Euclidean and conformal field theory, Random matrices and free probability, Markov chains and stochastic processes.
	Analysis, PDEs, and Applications. Examples of fields of interest within the Analysis, PDEs, and Applications group: Analysis of partial differential equations, fluid dynamics, inverse problems, dynamical systems, optimal transport, spectral theory, singularity formation, scattering, long time dynamics.


Exceptional candidates in all fields of mathematics will be considered. NYUAD is strongly committed to building a diverse and inclusive academic community. We strongly encourage applications from women and underrepresented groups.

Successful candidates are expected to teach and pursue research at NYUAD. A Ph.D. in mathematics or other related field is required.

About NYU Abu Dhabi

https://nyuad.nyu.edu/en/

NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.

NYUAD is committed to building and strengthening a university-wide culture of inclusion, diversity, belonging and equity (IDBE), which is fundamental to the University’s commitment to excellence. Visit our website for more information on NYUAD’s commitment to IDBE and how these values are fundamental to our mission.

Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.

Working for NYUAD

At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for faculty/academic staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty/academic staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.

Qualifications

This position requires a Ph.D. in Mathematics or other related fields.

We seek applicants who have, or have the potential to develop, a strong record of scholarship and have the ability to conduct and develop high-quality research.

Application Instructions

To apply for this position, please submit the following items:


	Cover Letter
	CV including a list of publications
	Summary of up to five (5) significant research contributions. Maximum length of 2 pages.
	Research Statement
	Teaching Statement
	Community contribution statement, including a discussion of inclusion, diversity and equity issues in the profession. This item also gives an opportunity to discuss the candidate’s societal impact and outreach activities.
	Contact information of 3 references for recommendation letters to be solicited at a later stage of the search process. Do not include the letters in the uploaded documents.


We will begin reviewing applications immediately and will continue until the position is filled. Shortlisted candidates are expected to be invited for campus visits in Abu Dhabi and New York in Spring 2025. We anticipate that successful candidates can start the appointment and relocate to Abu Dhabi in the academic year 2025-2026, subject to final budget approval.

NYUAD is committed to equality and is an equal-opportunity employer. We encourage applications from candidates who will enrich and contribute to the cultural and ethnic diversity of our university.

For questions about this position, please email nyuad.academicrecuitment@nyu.edu

Join NYU Abu Dhabi, an exceptional place for exceptional people.

NYUAD values diversity, inclusion, belonging, and equity; such principles are fundamental to the university's commitment to excellence. NYUAD is an equal opportunity employer. We particularly welcome applications from members of historically underrepresented groups, women, and UAE nationals. Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission.

@WorkAtNYUAD
#nyuadfacultycareers


New York University Abu Dhabi Corporation

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