Positions Available

Research Assitant – Control and Optimization Lab (CoOL)

Maroun Semaan Faculty of Engineering and Architecture
American University of Beirut

Overview

The project aims at developing, analyzing, and implementing robust control tools for wind turbine control systems! This is a fascinating multi-faceted project in which you get to design and test controllers on high-fidelity wind turbine simulation models! Bonus: You will also get the chance to work on machine learning problems related to the project.

These positions target Bachelor's degree holders who want to pursue their Master's degree in Mechanical Engineering, Master's degree holders who want to work as research assistants on control projects, and PhDs who are looking for postdoc experience.

The positions are for 24 months. The tentative starting date is July 1, 2023. Appointment will be made for a period of 2 years.

Qualifications and Requirements

For Master's student and research assistant applicants:

Bachelor's in mechanical or electrical engineering.
Fluency in MATLAB/Simulink.
Coursework in dynamical systems, modeling, and control.
Ability to conduct simulations, book-keep, and analyze results.
Master's degree holders will have priority for the RA positions.

For postdoc applicants:

PhD in mechanical engineering or electrical engineering. Strong candidates from related applied mathematics fields will also be considered.
Fluency in MATLAB/Simulink.
Graduate level coursework in dynamical systems, control, modeling, and optimization.
Experience with analysis, design, and testing of controllers, preferably using robust control theory.
Hands-on experience in optimization; preferably convex optimization.
Ability to conduct simulations, book-keep, and analyze results.

Note that the hired postdocs will have the opportunity to mentor students and be involved with some teaching activities.

Application Procedure

Interested candidates are encouraged to contact Dr. Abou Jaoude.
Include the position you are applying to in the subject of your email, and attach a copy of your various degrees, transcripts, CV, and list of references.

Applications are accepted on a rolling basis until the positions are filled.

Graphic Designer – Abdulla Al Ghurair Hub for Digital Teaching and Learning

Maroun Semaan Faculty of Engineering and Architecture
American University of Beirut

Overview

We are seeking a creative Graphic Designer to join our team and support the implementation of the Hub's marketing strategy. As a Graphic Designer, you will be responsible for creating visuals, designing publications (such as reports, proposals, factsheets, etc) working on videos, designing digital marketing kits (developing engaging editorial content and visuals for social media posts), and maintaining the website ux/ui.

You will work collaboratively with other members of the team to promote the hubs world-class online programs and overall mission.

Qualifications and Requirements

Bachelor's degree in Graphic Design or a related design discipline (Communication Design, Marketing, UX/UI design, etc.) or equivalent experience.
Advanced knowledge of Adobe Creative Suite (e.g., Adobe Illustrator, Photoshop, InDesign) is required.
Excellent written and verbal communication skills in English.
Ability to understand and take into consideration the contexts and audiences for which communication is intended.
Strong skills in refining, editing, and finalizing visuals based on decisions taken by the team.
Ability to prepare final artwork for digital social campaigns
Knowledge of web publishing software (SharePoint, WordPress) is a plus.
Experience in digital marketing and social media is a plus.
Experience in video editing.
High degree of organization skills, and readiness to follow up on various tasks.
Strong self-motivation, drive, and willingness to propose different outlooks and visual directions.

We look forward to receiving your application and welcome talented and passionate individuals who are committed to promoting the Faculty's mission through impactful and creative design work.

Application Procedure

Interested applicants should send a brief cover letter explaining why they are suitable for the role, along with a CV and sample work to msfeaonline@aub.edu.lb / msfeacomm@aub.edu.lb. Applications will be reviewed and evaluated on a rolling basis until the position is filled.

Graphic Designer – MSFEA Communications

Maroun Semaan Faculty of Engineering and Architecture
American University of Beirut

Overview

We are seeking a creative Graphic Designer to join our team and support the implementation of the Faculty's communications strategy. As a Graphic Designer, you will be responsible for conceptualizing and creating visuals for events and webinars, designing publications (such as brochures, proposals, factsheets, etc) working on videos, designing digital marketing kits (developing engaging editorial content and visuals for social media posts), maintaining the website visuals, as well as spatial and experiential graphics.

You will work collaboratively with other members of the team to promote the Faculty's world-class programs and overall mission, highlighting student and faculty achievement, events, and groundbreaking research.

Qualifications and Requirements

Bachelor's degree in Graphic Design or a related design discipline (Communication Design, Marketing, Architecture, UX/UI design, etc.) or equivalent experience.
Advanced knowledge of Adobe Creative Suite (e.g., Adobe Illustrator, Photoshop, InDesign) is required.
Proficiency with Microsoft Office Suite.
Excellent written and verbal communication skills in English.
Ability to translate ideas and concepts into solid design processes that lead to creative and effective design solutions in line with briefs, project specificities, and limitations.
Ability to understand and take into consideration the contexts and audiences for which communication is intended.
Strong skills in refining, editing, and finalizing visuals based on decisions taken by the team.
Ability to prepare final artwork for design work intended for publication, whether in print or digital (newspaper articles, books, spatial graphics, websites, LCD screens, digital social campaigns, etc.).
High degree of organization skills, and readiness to lead and follow up on various tasks.
Ability to engage in discussions and brainstorming sessions within the team and across the Faculty.
Strong self-motivation, drive, and willingness to propose different outlooks and visual directions.
Knowledge of web publishing software (SharePoint, WordPress) is a plus.
Experience in digital marketing and social media is a plus.
Experience in video editing is a plus.

We look forward to receiving your application and welcome talented and passionate individuals who are committed to promoting the Faculty's mission through impactful and creative design work.

Application Procedure

Interested applicants should send a brief cover letter explaining why they are suitable for the role, along with a CV and sample work to msfeacomm@aub.edu.lb. Applications will be reviewed and evaluated on a rolling basis until the position is filled.

Qualifications and Requirements Research Assistant – Deep Learning Models to Predict the Construction Period of Buildings in Lebanon

Maroun Semaan Faculty of Engineering and Architecture (MSFEA)
American University of Beirut

Overview

A multi-disciplinary research team of civil and computer engineers and architects at the American University of Beirut is working towards delivering intelligent imaging technologies using state-of-the-art machine learning (ML) algorithms to understand the architectural styles and predict the construction period of buildings in Lebanon from street-view images.

We are looking for a part-time Research Assistant (RA) to contribute to the project. The RA will research and develop deep learning models and combine imaging (including 360° photos) with other input data to classify the construction period of buildings in Lebanon. The RA will have the opportunity to collaborate with other domain experts to bring innovations from concept to applications.

Key responsibilities

Design, develop and optimize deep learning models in the areas of image processing, object detection, object tracking, and segmentation.
Collaborate with other researchers/graduate students and professors in the team to effectively evaluate the performance of algorithms/neural networks.
Collaborate with the other team members to publish the work in conferences and journals.

Qualifications and Requirements

MS (preferably) or BE/BS in electrical or computer engineering, or computer science.
1-2 years of experience designing, developing and implementing AI/ML algorithms to include 2D images.
Knowledge in Deep Learning, Classical ML, and Computer Vision.
Experience in designing, developing, and implementing Neural Networks (NNs), Convolutional Neural Networks (CNNs).
Experience in training, testing, and deploying ML models.
Familiarity with Python ML libraries/tools (e.g., scikit-learn, TensorFlow, Keras)
Proficiency with various programming/scripting languages and environments (e.g., Python, Anaconda, SQL, interface development).
(Desired) Experience with Geospatial concepts and tools (ArcGIS, Map services, etc.)
(Desired) Experience in image and video processing, object detection, segmentation and object tracking.

Application Procedure

Interested applicants should send a letter of intent and a 2-page CV highlighting their relevant skills to Prof. Mayssa Dabaghi (md81@aub.edu.lb).

Estimated workload: around 20 hours per week.
Duration: from November 2022 till end of June 2023.

Part-time/Full-time Research Assistant or Postdoc – Biomimetics Engineering Lab (BEL), Biomedical Engineering Program

Maroun Semaan Faculty of Engineering and Architecture (MSFEA)
American University of Beirut

Background

Physics, Biology or Mechanical Engineering related background

Key responsibilities

Create lab-on-chip devices
Characterize and analyze the developed devices
Work on a single cell manipulation device
Write scientific documents including research papers, reports and patents
Assist in management of the lab equipment
Collaborate with lab members and other AUB researchers
Participate in lab meetings and communicate results on a monthly basis with lab members
In addition to the above, candidates for the post doc position will be required to supervise PhD and MSc students
Write proposals for grants
Identify collaborations within and outside AUB

Skills and qualifications

Bachelor/MSc or PhD in Physics, Biophysics, Mechanical Engineering, Biomedical Engineering Field. Candidates should have an interest in biology and experience in one or more of the following areas: cell culture techniques and cell assessment tools, lab-on-a-chip, atomic force microscopy, biomaterials, nano/micro fabrication. Candidates for the Postdoc position must have cell culture experience and demonstrated writing skills (a minimum of 1 first author publication).

Micro fabrication
Academic writing and presentation skills
Ability to work in a team with interdisciplinary interests

Application procedure

Candidates are requested to send their CV and cover letter in one document to Dr. Rami Mhanna at rm136@aub.edu.lb.

Duration: 6 months with possibility for extension

Research Assistant – Machine Learning and Geomechanics

Maroun Semaan Faculty of Engineering and Architecture (MSFEA)
American University of Beirut

The geomechanics group at AUB is looking for a research assistant to work on a research project on material characterization using machine-learning techniques.

Qualifications & Requirements

Bachelor's degree in Sciences or Engineering
Excellent technical writing skills
Experience in data gathering and analysis is required
Experience in machine learning is preferred

Main Duties

Data acquisition of seismic data linked to hydraulic fracturing and geothermal systems
Data acquisition of methane migration linked to oil and gas production
Data acquisition of well logging measurements for real time monitoring to ensure safe drilling

Application Procedure

Interested candidates should send their CV and an expression of interest to Dr. Elsa Maalouf at em40@aub.edu.lb.

Research Assistant – Technological Tools for Biodiversity Conservation in Lebanon

Maroun Semaan Faculty of Engineering and Architecture (MSFEA)
American University of Beirut

Project Announcement and Description

We are happy to announce multiple research assistant positions under the supervision of Prof. Dany Abou Jaoude (ME) and Prof. Ibrahim Issa (ECE). This is a multi-staged project starting phase 1, during which the goal is to survey and analyze the needs of local stakeholders in Lebanon (e.g., nature reserves, environmental groups, etc.) in terms of biodiversity conservation and restoration, in addition to documenting the associated technological tools being deployed (locally and worldwide) for this purpose.

Project Start

The project start will be immediate, and the initial hiring will be for six months or one year.

Qualifications & Requirements

Qualified individuals include students at all levels (preferably graduate students or recent graduates) with strong problem-solving skills and excellent communication skills. Applicants must be self-driven and effective at information search and documentation. Successful applicants must exhibit an ability to come up with creative solutions to engineering problems while respecting problem constraints (both technical and nontechnical).

Knowledge of at least one of the following areas is required: Machine Learning and Signal Processing, Robotics, Mechanical Design and Control, or Computer Vision. Knowledge in related advanced courses in the field is a plus. Familiarity with human-centered design is highly beneficial.

Deadline for applications

Applications are accepted on a rolling basis until the positions are filled. Applications submitted by Fall 2022 will receive full consideration.

Application Procedure

If you are interested and you have the required skills, please send your CV and academic transcript to Prof. Dany Abou Jaoude (da107@aub.edu.lb) and Prof. Ibrahim Issa (ii19@aub.edu.lb) along with the following statements:

A brief description of your technical skills and experience in research and information gathering. Highlight previous experience in design, robotics, control, computer vision, signal processing, and machine learning as applicable.
A brief description of your soft skills in problem solving, communication, interviewing and note taking, tolerance of ambiguity, being self-driven, and quality of results.
Contact details of at least one reference (previous academic or industrial supervisor). Instructional Media Specialist – MSFEA Online Learning Unit / AUB IT Academic Services.

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