Harvard University
About Harvard University
Basic information and contact details for Harvard University
Dating back to 1636, Harvard University is the oldest university in the US and is regarded as one of the most prestigious in the world.
It was named after its first benefactor, John Harvard, who left his library and half his estate to the institution when he died in 1638.
The private Ivy League institution has connections to more than 45 Nobel laureates, over 30 heads of state and 48 Pulitzer prizewinners. It has more than 323,000 living alumni, including over 271,000 in the US and nearly 52,000 in 201 other countries. Thirteen US presidents have honorary degrees from the institution; the most recent of these was awarded to John F. Kennedy in 1956.
Faculty members who have been awarded a Nobel prize in recent years include chemist Martin Karplus and economist Alvin Roth, while notable alumni who were given the honour include former US vice-president Al Gore, who won the Peace Prize in 2007, and poet Seamus Heaney, who was a professor at Harvard from 1981 to 1997.
Situated in Cambridge, Massachusetts, Harvard’s 5,000-acre campus houses 12 degree-granting schools in addition to the Radcliffe Institute for Advanced Study, two theatres and five museums. It is also home to the largest academic library in the world, with 20.4 million volumes, 180,000 serial titles, an estimated 400 million manuscript items, 10 million photographs, 124 million archived web pages and 5.4 terabytes of born-digital archives and manuscripts.
There are more than 400 student organisations on campus, and Harvard’s medical school is connected to 10 hospitals.
The university receives one of the largest financial endowments of any higher education institution in the world; it created $1.5 billion in the fiscal year ended June 2013 – more than a third of Harvard’s total operating revenue in that year.
Harvard’s official colour is crimson, following a vote in 1910, after two student rowers provided crimson scarves to their teammates so that spectators could differentiate the university’s team during a regatta in 1858.
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Key Student Statistics
A breakdown of student statistics at Harvard University
- Student gender ratio
- 53 F : 47 M (1)
- International student percentage
- 27% (1)
- Students per staff
- 10.1 (1)
- Student total
- 22680 (1)
Based on data collected for the (1) World University Rankings 2026
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ACER-CoE - Professor in Advanced Water Desalination Technologies
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
About 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 in order 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. Job Description: The Applied Chemistry and Engineering Research Center of Excellence (ACER CoE) at Mohammed VI Polytechnic University invites applications for faculty positions specialized in water desalination processes and technologies. The positions are open to individuals who hold MS degree and PhD in water desalination or closely related engineering fields. Preference will be given to those with proven excellence in research achievements; a strong track record in publications top tier journals, and established international career in academia and/or in industry. Proven records in fund acquisition, the co-supervision of MS and PhD students, and teaching efforts are required. Also, excellent communication and writing skills in English are mandatory. Key duties: Successful candidates are expected to: Perform multidisciplinary research on desalination and membrane processes, and contribute in developing funded research programs, with a special emphasis on innovative and sustainable technologies for seawater desalination, fouling mitigation and brine management Develop and teach courses at the under and postgraduate levels related to the candidate's areas of research in seawater and brackish water desalination. Supervise PhDs and young researchers Participate in writing proposals and managing extramural funding Publish the results in refereed top-tier international journals. Pursue scholarly and professional activities that will keep him/her at the leading edge of his/her field. Criteria of the candidate: PhD in the subject discipline At least 5 years of proven experience in the subject discipline Relevant experience in the subject discipline as a faculty member, postdoctoral researcher or in industry would be an asset Established track record in R&D, teaching, and fundraising Proven hands-on expertise with membrane-based technologies for desalination Experience with the mitigation of fouling phenomena and/or management of desalination brine is a plus. Demonstrated mastering of operational requirements for a successful research project and managing resources. Prior co-supervising PhDs and young researchers Ability to generate new ideas, or build upon existing ones, to generate innovative and marketable concepts and solutions. UM6P.
Salary
Competitive
Posted
13 Mar 2026
COLCOM - Postdoctoral Research Fellow in Computational Biology
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
Job/Project description: The College of Computing at Mohamed VI Polytechnic University (UM6P), Benguerir, Morocco is seeking applications for a Postdoctoral Research position with a research focus in Computational Biology. The candidates should be highly motivated and have a Ph.D. in computational biology or any related field, and a good knowledge of molecular biology. The candidate will be part of the bioinformatics laboratory at the college of computing (bioinformatics.um6p.ma). The project aims to build a simulator for the response of mutations at different levels. The candidate will be responsible for building a simulator that allows researchers to see the response of their proposed mutations at DNA, RNA and protein levels. The candidate should have a deep understanding of the central dogma of biology and the effect of mutations. He/she would also be required to have a sound computational background, especially in the area of simulations. Criteria of the candidate: PhD in the field of Computational Biology, or related fields Strong publication record in leading international journals Excellent background in molecular biology Excellent programming skills Experience in computational analysis of molecular data Experience with high performance computing Aptitude for team work, problem solving and collaborative relationships Excellent verbal and written skills in English Organizational dexterity and ability to prioritize and manage multiple goals Positive attitude in changing fast-paced environments Active participation in improvement of self, processes and goals 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. Applications and selection procedure: Applications must contain: A cover letter indicating the position applied for and the main research interests. A detailed CV. A brief research statement. Contact information of 3 references (Applicants are assumed to have obtained their references’ consent to be contacted for this matter). About the employer Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco’s frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. Areas of Research Computational Biology Bioinformatics Computer Science Molecular Biology
Salary
Competitive
Posted
13 Mar 2026
SUSMAT-RC - Post-Doctoral in Advanced Sustainable Materials for Sensing Applications
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
Job description: Sustainable Materials Research Center (SUSMAT-RC) is seeking a highly motivated and talented postdoctoral fellow to join our research team focused on the development of innovative and sustainable sensor systems for industrial applications. This position offers an exciting opportunity to contribute to cutting-edge research in the field of sustainable materials to develop promising solutions that support and promote smart and sustainable practices in industrial processes. The successful candidate will develop innovative and efficient sensing platforms using advanced manufacturing techniques and strategies. The sensor platforms will leverage miniaturized, low-cost, and efficient components, utilizing state-of-the-art manufacturing techniques to enable seamless integration into industrial equipment and infrastructure. Key duties: The successful candidate is expected to: Have strong experience in polymers, molecularly imprinted polymers, and polymer-based nanocomposite synthesis, characterization, and application. Demonstrate knowledge and/or experience in sensor processing including design, fabrication, and characterization. Conduct research to design, develop, and optimize sensors for industrial applications. This includes exploring novel sensing technologies, materials, and data analysis techniques. Conduct rigorous field testing of developed sensors to ensure sensor accuracy, reliability, and robustness. Collaborate with interdisciplinary teams, including engineers, and data scientists, to integrate sensor technologies into comprehensive industrial systems. Maintain detailed records of experimental procedures, results, and observations. Prepare technical reports, research papers, and presentations for conferences and scientific publications. Contribute to the generation of new research ideas, participate in grant writing activities, and seek external funding opportunities to support ongoing research projects. Have a good knowledge of analytical techniques (GC/LC-MS, HPLC, etc), spectroscopic techniques (UV-Vis, FTIR, Raman, NMR, XRD, spectrophotometry, etc), and microscopy techniques (SEM, TEM, AFM, etc) necessary for structural and physical-chemical characterization of polymer and polymer-based nanocomposite. Proven experience and familiarity with electrochemical techniques necessary for preparation, characterization and application of polymer and polymer-based nanocomposite: CV, LSV, DPV, SWV, EIS, etc. Broad experience in surface modification of inorganic or organic substrates. Contribute to the group’s activities in the processing of sustainable materials, (bio)polymer composites and their applications as sensing platforms in related fields. Experience in supervising undergraduate, master's and doctoral students. Criteria of the candidate To be considered for this role, you will ideally have: Ph.D degree in analytical chemistry, polymer science, materials science and engineering or any related field. Strong motivation and passion for research in the field of sensors Strong initiative, self-motivated, and focused on achieving quality outputs. Good time management and task prioritization skills. Strong analytical, problem solving and teamwork skills. Ability to work both as part of a team and to work independently. Excellent oral and written communication skills in English. Application and Selection Application folder must contain: Detailed CV. Motivation letter, emphasizing your specific interest and motivation A brief research statement. Contact information of 2 referees. About Mohammed VI About Mohammed Polytechnic University (UM6P): Located at the heart of the Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, was established to serve Morocco and the African continent and to advance applied research and innovation. This unique university, with state-of-the-art infrastructure, has woven an extensive academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the Sustainable Materials Research Center (SusMat - RC): The Sustainable Materials Research Center (SusMat - RC) is a multidisciplinary research center engaged in the development of advanced biobased products and materials thereof using biotechnological, physical and chemical conversion strategies and engineering processes (b) understanding and controlling their underlying specific functionalities and the structure-properties relationship acting over multiple length scales from the molecular, nano to the macro level and their cross-interactions and (c) utilizing the gathered knowledge and the invented materials to address key technological challenges in Morocco and African continent and assist the transition toward a green and circular economy.
Salary
Competitive
Posted
13 Mar 2026
CAS - Postdoctoral Researcher in African Anthropology, Environment and Health
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
Département / Department : Unité / Unit: Center for African Studies Université / University: Mohammed VI Polytechnic University Intitulé de l’offre Postdoc / Title of the Postdoc offer: African Anthropology: Environment and Health Summary of the subject: One of the missions of the Center for African Studies is to archive contemporary research on the African continent. The candidate must know Arabic and be familiar with the work of Mokhtar Soussi. This work focuses on southern Morocco and Souss culture. It mentions links with sub-Saharan Africa. The post-doctoral candidate will need to identify all these links Responsibilities and tasks planned: The work will focus on: Bibliographic review, Report and scientific publications. organizing workshop courses Skills required for the position: The candidate must have: PHD with skills in one of the following fields: history, philosophy, anthropology, sociology, psychology Rigor / motivation, Good communication skills, Teamwork An appropriate scientific background allowing him to deal with research questions, being able to mobilize the main approaches available in the field Sufficient scientific and methodological hindsight to understand the level of relevance of research approaches and to be able to combine them in an astute way in the analysis, definition, and resolution of project problems A minimum experience (professional or research) allowing him to move forward quickly and efficiently in a bibliographic analysis on a given theme and in the writing of scientific journals and articles.
Salary
Competitive
Posted
13 Mar 2026
VANGUARD - Postdoc in Network Tensor Completion
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
About Mohammed VI Polytechnic University (UM6P): Located at the heart of the Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, was established to serve Morocco and the African continent and to advance applied research and innovation. This unique university, with state-of-the-art infrastructure, has woven an extensive academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the department Vanguard works on the development of innovative and interdisciplinary applied research projects. From technological innovation to the transfer of research to industry, Vanguard has also the mission of developing an ecosystem of related start-ups. For more information about our Center, please visit our webpage: https://vanguard.um6p.ma/ Offer description: There are many systems of interest to scientists that are composed of individual parts or components linked together in some way. Examples include the Internet, a collection of computers linked by data connections, human societies, which are collections of people linked by acquaintance or social interaction, transportation systems and biological interactions. These systems are represented as networks. A network is a set of objects that are connected to each other in some fashion. Mathematically, a network is represented by a graph, which is a collection of nodes that are connected to each other by edges. The nodes represent the objects of the network and the edges represent relationships between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind of objects or relations between the objects. Many real world networks have a multidimensional nature such as networks that contain multiple connections. For instance, transport networks in a country when considering different means of transportation. The train and bus routes are different types of connections and should in some models be represented by different kinds of edges. These kind of situations can be modeled using multilayer networks which emphasize the different kind or levels, known as layers, of connections between the elements of the network and the interactions between these levels as well. In order to capture the structure and complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example, the transport network mentioned earlier would be represented by a 4th order tensor A 2RN_L_N_L where L is the number of the layers (transportation means) and N is the number of nodes (stations or stops). Using convenient tensor products, the goal is to define measures to analyze different multidimensional networks based on their adjacency tensors. However, collecting all the interactions in the systems and sometimes even observing all the components is a challenging task. In most cases, only a sample of a network is observed. Therefore, network completion needs to be addressed. Matrix completion methods have proved to be efficient when reconstructing a non fully observed data. These methods can be applied to complete or predict links in a network. However, missing information in a network can include both missing edges and nodes which makes classical matrix completion method insufficient. However,we may collect other information and features about the elements of the network. Therefore, side information about the nodes along with the observed edges need to be exploited. The problem of network completion arrises also for applications where the network has a multidimensional representation such as multiplexes and multilayer networks. Since multidimensional networks can be represented by tensors, one can think of applying tensor completion methods which have proved to be efficient in many applications such as image and video reconstruction. However, the same issue arises, tensor completion methods can not be directly applied to recover the links of the network giving the fact that the data is sparse most of the time. We aim to use auxiliary information about the multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor minimization and tensor decompositions paired with auxiliary information in order to recover missing links in a multilayer network with connected components. An important constraint in network completion is that the factorization must only capture the non zero entries of the tensor. The remaining entries are treated as missing values, not actual zeros as is often the case in sparse tensor and matrix operations. Therefore, the next step in this project is to address sparse optimization for tensors. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing multidimensional networks by studying the theoretical foundations behind randomized algorithms in the context of sparse optimization and applications in real world data sets. We are also interested in exploring opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel algorithms and methodologies for tensor completion in multidimensional networks. This includes exploring optimization techniques, tensor decompositions, and incorporating auxiliary information for more accurate completion. Algorithm Design: Design and implement algorithms for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different measures and metrics for characterizing network connectivity and relationships. Sparse Optimization: Address the challenge of sparse optimization for tensors by integrating randomized algorithms into optimization frameworks. Study the theoretical foundations of randomized algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations. Collaboration: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social sciences. This involves effective communication and coordination to ensure the successful integration of mathematical methods into practical systems. Publication and Dissemination: Publish research findings in top-tier journals and present results at conferences and workshops. Disseminate knowledge and contribute to the academic community by sharing insights and methodologies developed during the course of the project. Mentorship and Training: Provide mentorship and guidance to graduate students and junior researchers involved in related projects. Share expertise and knowledge in applied mathematics, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra, or equivalent. Prior experience on the subject is highly desired.
Salary
Competitive
Posted
13 Mar 2026
Subjects Taught at Harvard University
See below for a range of subjects taught at Harvard University
Arts and Humanities
- Archaeology
- Architecture
- Art, Performing Art and Design
- History, Philosophy and Theology
- Languages, Literature and Linguistics
Business and Economics
- Accounting and Finance
- Business and Management
- Economics and Econometrics
Computer Science
- Computer Science
Education Studies
- Education
Engineering
- Civil Engineering
- Electrical and Electronic Engineering
- General Engineering
- Mechanical and Aerospace Engineering
Law
- Law
Life Sciences
- Agriculture and Forestry
- Biological Sciences
Medical and Health
- Medicine and Dentistry
- Other Health
Physical Sciences
- Chemistry
- Geology, Environmental, Earth and Marine Sciences
- Mathematics and Statistics
- Physics and Astronomy
Psychology
- Psychology
Social Sciences
- Communication and Media Studies
- Politics and International Studies
- Sociology