profile-logo-default.png

Mangalayatan University Jabalpur

University Jabalpur is located in Barela, approximately 15 kilometres from the heart of Jabalpur. 
The university's campus is accessible and well-connected, and caters to students from Madhya Pradesh and neighbouring regions.
Mangalayatan University Jabalpur offers a comprehensive array of academic, professional, and research programmes.
The institutions offers scholarships and comprehensive support to deserving students, irrespective of their financial backgrounds. In addition, the university’s fee structure is designed to be accessible, ensuring that quality education is available to everyone.
The university has classrooms, digital learning facilities, and well-equipped laboratories. They also have an eco-friendly campus.

Mangalayatan University Jabalpur | World University Rankings | THE

51吃瓜

Overview

For Students

Teaching and Research

Basic information and contact details for Mangalayatan University Jabalpur

About Mangalayatan University Jabalpur

Build your profile to connect with students and professionals around the world

Do you work for this institution?

No Poverty

Zero Hunger

Good Health and Wellbeing

Quality Education

Gender Equality

Clean Water and Sanitation

Affordable and Clean Energy

Decent Work and Economic Growth

Industry, Innovation and Infrastructure

Reduced Inequalities

Sustainable Cities and Communities

Responsible Consumption and Production

Climate Action

Life below Water

Life on Land

Peace, Justice and Strong Institutions

Partnership for the Goals

Overall

World University Impact Rankings - Clean Energy 2024

World University Impact Rankings - Clean Energy 2025

Select the type of ranking below to see stats

Impact Rankings

About

Rankings

Key stats

Jobs

Subjects

Downloads

FAQs

Suggested universities

Singapore

FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY?

Singapore Institute of Technology (SIT) aspires to be a leader in innovative learning by integrating learning, industry and community. Its mission is to nurture and develop individuals who build on their interests and talents to impact society in meaningful ways.

Our engineering degree programmes have been developed through extensive consultation with industry, thus creating a curriculum that supports the industry’s needs in manpower development and innovation. We look forward hire faculty with industrial experience to foster applied learning in the course being delivered.

SIT focuses on working with the industry on translational research and innovation, spanning technology readiness levels (TRLs) 3-7. Unlike traditional research which is discovery-oriented, applied research projects have higher TRLs which bridge the gap between theoretical research and industry applications. SIT Engineering Cluster focusses on the five key pillars of Applied Research (i) Infrastructure (Maintenance) (ii) Sustainability (Built Environment) (iii) Energy Resilience (iv) Maritime Engineering and (v) Advanced Manufacturing, working with various industry sectors in Singapore as well as in the region.

For this faculty position, we are looking for candidates with an engineering background, who have extensive experience in?intelligent robotic systems.

Job Description:

SIT is seeking a highly qualified and motivated individual for the position of?Assistant/Associate Professor. This position emphasizes excellence in teaching and applied research. As a faculty member, you will play a crucial role in shaping the education and research endeavors of our institution.

Teaching Responsibilities:


	Delivering high-quality lectures and interactive classes in topics related to robotics, robot operating system (ROS), system engineering, computational mathematics, C/C++ programming, data structure and algorithm, artificial intelligence (AI) and machine learning at the undergraduate level.
	Developing engaging course materials, including syllabi, lecture notes, assignments, and assessments, in accordance with established curriculum guidelines.
	Employing innovative teaching methods and technologies to enhance student learning experiences.
	Mentoring and advising students on academic and career-related matters.
	Evaluating and providing constructive feedback on student performance, including assessments and projects.
	Actively engaging in academic research to stay up-to-date with the latest developments in the field.


Applied Research Responsibilities:


	Conducting cutting-edge research in autonomous system, human-robot interaction, AI for robotics and AI-driven control system, with an emphasis on practical applications and industry relevance.
	Seeking external funding and grants to support research projects and initiatives.
	Collaborating with colleagues, both within the institution and externally, to foster interdisciplinary research and contribute to the overall research goals of the department.
	Publishing research findings in reputable journals and presenting at conferences and symposia.
	Supervising graduate students in their research work and guiding them to facilitate their success.
	Engaging with industry partners and stakeholders to develop collaborative research projects and foster technology transfer.


General Responsibilities:


	Actively participating in departmental meetings, committees, and other administrative tasks as required.
	Contributing to the continuous improvement and development of the curriculum, course materials, and teaching methodologies.
	Demonstrating a commitment to fostering an inclusive and diverse learning environment.
	Engaging in professional development activities to enhance teaching and research skills.
	Promoting the institution's reputation through active involvement in professional societies and organizations.


Qualifications:


	A Ph.D. in a relevant field, such as Robotics, Mechanical/Electrical Engineering, Mechatronics, Computer Science, or a closely related discipline.
	Strong experience in mechatronic system design, robotic perception, autonomous system, human-robot interaction and integration of sensors/ actuators with robotic system.?
	Proficiency in programming languages such as C, C++ and Python, ROS, AI and machine learning, and their application to robotics.
	Significant experience in applied research, with a focus on practical applications in industry.
	Experience in securing external research funding and managing research projects.
	Strong communication and interpersonal skills to effectively engage with students, colleagues, and industry partners.
	The ability to work collaboratively in a team-oriented academic environment.
	A commitment to promoting diversity, equity, and inclusion in education and research.


Successful candidates will join the Engineering (ENG) Cluster (one of five academic clusters in SIT), as members of a team of accomplished experts passionate about higher education and deeply involved in industry transformation through applied research programmes.

Applications will be accepted until the positions are filled. All applications must be submitted electronically via?SIT Career Website.


Singapore Institute of Technology (SIT)

SIT's mission is centred on nurturing industry-ready graduates who possess deep technical expertise and transferable skills to address future challenges. We collaborate with industry in our education, providing them with a talented workforce and benefiting from our collaborative research endeavours.

Our?University’s distinctive?applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world settings. Through strategic partnerships forged by our academic staff with industry, learners bridge theoretical knowledge with practical application inside?and outside?of the classroom. These active and authentic learning opportunities ensure that?graduates enter?their careers with relevant?skills and competence.

In research, SIT faculty aims to bridge the gap between?knowledge creation and utilisation. Our faculty work?closely with industry on translational research and innovation, focusing on addressing significant?industry challenges to positively?impact businesses.

The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support exceptional?Singaporeans who are?interested in pursuing an academic career at SIT.

The Early Career Awards (ECA) are designed to support Singaporeans who have recently completed their postdoctoral training and prepare them for an academic career at SIT. This award aims to enhance the teaching capabilities of the recipient and help build a strong research portfolio.

Eligibility and Selection Criteria


	Singapore Citizen??
	Recently completed postdoctoral training??
	Excellent academic record plus a high degree of proficiency and motivation for a research area that is strongly aligned with SIT’s supported areas?
	Strong passion for teaching, research and an academic career


Benefits

Awardees may receive research grants to help build a competitive research portfolio. Upon completion of the award, awardees will be considered for Assistant Professorship.

Awardees will also be assigned a faculty mentor for the duration of the scheme.

Application Process


	Applications are open throughout the year. Applications received before 15 January 2026 will be considered for the 2026 intake.?
	Interview by the respective clusters for shortlisted applicants will be conducted throughout the year.?
	Final Interview by Panel for shortlisted applicants will take place from March to April 2026.
	Awards for the 2026 intake will be finalised by July 2026.


Supported Areas for START

Infocomm Technology


	Information Security:?Mobile security, cyber-physical systems, IoT security, security analytics, operational cybersecurity, digital forensics, vulnerability assessment, malware analysis, privacy technologies, and AI security?
	AI and Emerging Fields:?Smart healthcare, IIoT, computational fintech, robot-human interaction, trustworthy AI, explainable AI, large language models, quantum computing.



Hong Kong

The Advanced Biomedical Instrumentation Centre Limited (ABIC) is a collaborative effort coordinated by the University of Hong Kong (HKU) undertaking R&D projects with universities and companies globally. The aim of ABIC is to develop new and disruptive technologies that will meet the needs of the healthcare sector and contribute to human health.

Applications are invited for appointment as AI Engineering Specialist (Software as a Medical Device (SaMD) and Artificial Intelligence) (Ref.: H01/2025/063)

We are seeking an expert to play a pivotal role in our medical engineering efforts. You will drive and shape the development of groundbreaking Software as a Medical Device (SaMD) products and leverage the power of artificial intelligence to revolutionize diagnostics, treatment, and patient care.

What You'll Do


	Lead the design and development of AI/ML algorithm
	Focus on electrophysiology and brain-computer interface (BCI) data analysis and algorithms
	Apply your expertise in machine learning (especially deep learning) to develop, train, validate, and optimize algorithms for a variety of medical applications.
	Architect and develop SaMD products, with a focus on US FDA product registration (510(k), De Novo, PMA) and fulfilling international standards (e.g., ISO 13485, IEC 62304)
	Employ software engineering best practices and adhere to relevant software development cycle standards
	Guide architectural decisions, technology choices, and development methodologies
	Collaborate with cross-functional teams (product, clinical, regulatory) to ensure alignment


What is Required


	Bachelor, Master or Ph.D. degree in Computer Science, Data Science, Biomedical Engineering, Information Engineering, or a related field with a strong emphasis on software development and AI/ML.
	Proven experiences in BCI related data analysis and algorithms
	Proven experience in handling brain-related electrophysiological signals such as ECoG, neural spikes or EEG as a plus
	6+ years of experience in software development for medical applications, with 3+ years focused on SaMD and a proven track record of developing and deploying AI/ML algorithms in a regulated environment.
	Expert-level proficiency in machine learning, particularly deep learning, with hands-on experience using frameworks and tools, such as TensorFlow, PyTorch, Keras, etc.
	Strong programming skills in languages such as Python, C++, R, and Java.
	Experience with cloud computing platforms (AWS, Azure, GCP) and their services relevant to SaMD.
	In-depth understanding of the medical device development lifecycle and relevant regulations (FDA or EU MDR).
	Experience with SaMD development, verification, validation, and regulatory approval. Knowledge of QMS principles and ISO 13485.


Work mode


	Full-time / part-time, details can be negotiated
	Located in Hong Kong, or the Silicon Valley area in California in US
	Highly competitive compensation will be offered. ?


Applicants should submit their up-to-date C.V., quoting the job reference number, with information on current/expected remuneration and availability, to pklc@hku.hk. Review of applications will commence as soon as possible and until the posts are filled.

The personal data provided in your application process will be used for recruitment and other employment-related purpose. The personal data may be transferred and disclosed to, and used by?the affiliated?entities?of Advanced Biomedical Instrumentation Centre Limited?for the above purposes.

We are an equal opportunities employer and welcome applications from all qualified candidates.


Advanced Biomedical Instrumentation Centre Ltd

United States, Washington

Research Track -- Assistant or Associate Professor, Department of Medicine (Clinical and Translational Glycoscience Research Center) - Georgetown University Medical CenterGeorgetown University: Medical Center: School of Medicine: OncologyLocation: Washington, DCOpen Date: Feb 28, 2022Deadline: DescriptionThe Clinical and Translational Glycoscience Research Center (CTGRC) at Georgetown University Medical Center, Washington, DC invites applications for a position of Analytical Scientist with experience in mass spectrometry of proteins and their glycosylation. This person will join an interactive team of mass spectrometrist, informaticians, and glycobiologists to develop workflows for the analysis of (glyco)proteins, their interactions, and applications of the methods to collaborative projects supported by the CTGRC. Experience in chromatographic separations and mass spectrometry of proteins is required; the applicant will supervise the operation of Orbitrap Fusion Lumos w ETD/UVPD (Thermo), Q-exactive (Thermo), and timsTOF Pro (Bruker) mass spectrometers and related chromatographic equipment. QualificationsMinimum requirements include: a PhD degree in analytical chemistry or related discipline and a minimum of 7-years hands on experience with mass spectrometry of proteins, and a productive publication record. Experience in glycoproteomics is recommended. Candidates must have strong written and oral communication skills, be able to work independently, and work efficiently in a collaborative research environment.Application InstructionsClick on Apply Now.For more information and to apply, visit https://apply.interfolio.com/101440GU is an Equal Opportunity Employer. All qualified applicants are encouraged to apply, and will receive consideration for employment without regard to age, citizenship, color, disability, family responsibilities, gender identity and expression, genetic information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic protected by law.Copyright ?2025 Jobelephant.com Inc. All rights reserved.Posted by the FREE value-added recruitment advertising agency jeid-769cddedde568b428cf5bb1b9092a6de

Georgetown University

Finland, Helsingfors (Helsinki)

We are recruiting a

Doctoral Researcher

to the project ‘Targeting transcription elongation to modify the prostate cancer tumor immune micro-environment’ to the research group Transcriptional Rewiring in Cancer led by Harri Itkonen (University of Helsinki). The project is pursued in close collaboration with Professor Ian G Mills’ research group based in University of Oxford and it is funded by Prostate Cancer UK. The position is for 3 years, and we hope that the candidate starts in autumn 2025.

Background

The research in Itkonen laboratory is focused on how the information embedded in the genome is decoded through transcription, and how the defects in this process can be used as a basis for therapy. Currently, we are probing how the crosstalk between transcriptional kinases and other factors regulating RNA polymerase II activity function in normal and cancer cells. In particular, we are interested in the kinases that promote transcription elongation, CDK9 and CDK12, and highlight few examples that are particularly relevant for the current project. We discovered that CDK9 inhibition stimulates transcription of short mRNAs (Gondane & al. 2025, PMID: 40186208) and leads to excessive splicing defects (Hu & al., 2021, PMID: 34592899), which the cell interprets as a viral infection (Yalala & al. 2024, PMID: 38661032). In our projects, we make extensive use of comprehensive transcriptional profiling, including RNA-seq, SLAM-seq, alternative splicing analysis, combined with epigenetic profiling using ChIP-seq, FAIRE-seq and more recently also ATAC-seq (for examples, see Itkonen & al. 2020, PMID: 3261155; Gondane & al. 2022, PMID: 35164752,Gondane & al. 2023, PMID: 36975490, and Liang & al. 2024, PMID: 38775167).

For further information, please refer to our research groups’ web pages:

https://www.helsinki.fi/en/researchgroups/transcriptional-rewiring-in-cancer

https://www.nds.ox.ac.uk/team/ian-mills

Project

Prostate cancer is immunologically cold, which means that the body’s own immune system fails to detect and eradicate the cancer cells. We have discovered that the drug-induced defects in transcription elongation activate immunogenic signaling in prostate cancer cells. In particular, this can be achieved by inhibiting CDK9 using compounds already assessed in clinical trials against other cancers.

Our main aim in this project is to develop CDK9 inhibitor-based treatment against prostate cancer for durable response. To achieve this, we will model how both normal and cancer cells respond to CDK9 inhibition, and if the response can be augmented using immunomodulatory and / or other strategies.

The project is divided so that the organoid experiments and bioinformatics are performed in University of Helsinki, while the animal experimentation is performed in University of Oxford. The project utilizes a number of sequencing techniques including RNA-seq, SLAM-seq, scSLAM-seq, and ‘Breaks Labeling In Situ and Sequencing (BLISS)’.

The candidate

We are seeking a motivated Bioinformatics graduate who wants to expand their expertise to cancer research / molecular biology. The proposed project is intended for an MSc-level person who wishes to acquire PhD degree. PhD Trainees in my laboratory typically graduate within 3-4 years with competitive publication output, and we put great emphasis on planning the project with clear milestones set in the beginning. This strategy allows the Trainees and me to reflect on the progress and to make adjustments as need be. Project involves significant work together with collaborating groups based in Oxford (Mills) and Switzerland (Clémentine LeMagnen). The appointee will be based in Helsinki and the project includes research visit to Switzerland to acquire specific expertise required for the project execution.

Qualification requirements

The ideal candidate has an MSc degree from Bioinformatics, but applicable other degrees are also considered.

Essential


	Applicant must hold an MSc degree.
	Proven experience on using command line-based tools.
	Fluent oral and written communication skills in English.


In addition, the additional qualifications will be an asset


	Experience from using virtual machines.
	Experience in analyzing the data generated using the techniques mentioned in the section ‘Project’.
	Working experience (in any sector, also unrelated to the field of education)
	Demonstrable experience in presenting own work (conferences, social media etc).
	Knowledge on cancer biology.


Personal skills


	Genuine interest in science.
	Ability to work in a team and independently.


The appointee should either already have the right to pursue a doctoral degree at the University of Helsinki by the start of the appointment or apply for the right and obtain it within the probationary period of six months of their appointment. If the candidate does not already have the right to pursue a doctoral degree at the University of Helsinki, it must be applied for separately:?www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell.

The requirements for pursuing a doctoral degree at the University of Helsinki can be found at?https://www.helsinki.fi/en/research/doctoral-education/eligibility-and-educational-documents. The appointee will be based in Helsinki.

What we offer

Project is expected to start in autumn 2025, as a fixed 3-year position. A 6-month trial period will be applied.

How to apply

Applications should be submitted through the University of Helsinki Recruitment System via the "Apply now" button. Internal applicants (i.e., current employees of the University of Helsinki) submit their applications by using the Employee Login button.

Please send your application with following enclosures:


	CV (maximally 2 pages).
	Cover letter (max 1-page, scientific background, motivation for the position and research interests).
	Copies of educational certificates (academic transcripts only – please ascertain that the grading system is clearly explained, include both diploma and grades you have received from all the courses taken during BSc and MSc education).
	2-3 references (name, institution, e-mail, telephone number, and relation to the candidate).


The closing date for applications is July 20th 2025.

We encourage informal inquiries: harri.itkonen@helsinki.fi and ian.mills@nds.ox.ac.uk

About us

The Faculty of Medicine promotes high quality scientific research. It provides research-based undergraduate and postgraduate education in medicine, dentistry, psychology and logopedics, and an international Master's Programme in Translational Medicine. It also offers psychotherapist education. In addition to its teaching and research activities, the faculty serves as a significant expert organisation in the healthcare sector and contributes to the discourse on ethics in the field. The faculty aims to be one of the best medical research faculties in the world, while reinforcing its status as a distinguished institution of multidisciplinary education in healthcare. ?https://www.helsinki.fi/en/faculty-of-medicine.

The Faculty of Medicine at the University of Helsinki constitutes the academic medical centre together with HUS Helsinki University Hospital and the Helsinki Institute of Life Science (HiLIFE). This medical centre has been successful in international comparisons, ranking among the top 10 medical campuses in Europe and the top 50 globally.

JOIN US TO BUILD A BETTER WORLD – TOGETHER! ?

#HelsinkiUniCareers


51吃瓜

Mangalayatan University Jabalpur

About Mangalayatan University Jabalpur

Impact Rankings

Impact Rankings 20251001-1500^th

No Poverty 2025601-800^th

Zero Hunger 2025401-600^th

Good Health and Wellbeing 2025601-800^th

Quality Education 2025401-600^th

Gender Equality 2025301-400^th

Clean Water and Sanitation 2025401-600^th

Affordable and Clean Energy 2025601-800^th

Decent Work and Economic Growth 20251001+

Industry, Innovation and Infrastructure 2025301-400^th

Reduced Inequalities 20251001+

Sustainable Cities and Communities 2025801-1000^th

Responsible Consumption and Production 2025601-800^th

Climate Action 2025601-800^th

Life below Water 2025401-600^th

Life on Land 2025401-600^th

Peace, Justice and Strong Institutions 2025401-600^th

Partnership for the Goals 20251501+

Discover similar universities

Company

Legal

51吃瓜

Mangalayatan University Jabalpur

About Mangalayatan University Jabalpur

Impact Rankings

No Poverty 2025601-800th

Zero Hunger 2025401-600th

Good Health and Wellbeing 2025601-800th

Quality Education 2025401-600th

Gender Equality 2025301-400th

Clean Water and Sanitation 2025401-600th

Affordable and Clean Energy 2025601-800th

Decent Work and Economic Growth 20251001+

Industry, Innovation and Infrastructure 2025301-400th

Reduced Inequalities 20251001+

Sustainable Cities and Communities 2025801-1000th

Responsible Consumption and Production 2025601-800th

Climate Action 2025601-800th

Life below Water 2025401-600th

Life on Land 2025401-600th

Peace, Justice and Strong Institutions 2025401-600th

Partnership for the Goals 20251501+

Discover similar universities

No Poverty 2025601-800^th

Zero Hunger 2025401-600^th

Good Health and Wellbeing 2025601-800^th

Quality Education 2025401-600^th

Gender Equality 2025301-400^th

Clean Water and Sanitation 2025401-600^th

Affordable and Clean Energy 2025601-800^th

Industry, Innovation and Infrastructure 2025301-400^th

Sustainable Cities and Communities 2025801-1000^th

Responsible Consumption and Production 2025601-800^th

Climate Action 2025601-800^th

Life below Water 2025401-600^th

Life on Land 2025401-600^th

Peace, Justice and Strong Institutions 2025401-600^th