phd application presentation

Introduce yourself in a PhD interview (4 simple steps + examples)

The opening of an application interview for a PhD position usually starts with short introductions of everyone participating in the conversation. Many applicants wonder how to best introduce themselves in a PhD interview. Four simple steps (including examples) help you to develop a powerful self-introduction .

What to do in a PhD interview introduction

What not to do in a phd interview introduction, introductions in a phd interview.

Interviewing for a PhD position can be nerve-wrecking.

On the one hand, the interview is an advanced stage in the PhD application process and a reason to celebrate having come so far.

On the other hand, you may feel much more vulnerable during an interview than when sending a carefully crafted application letter.

A PhD application interview requires you to react quickly to questions, and you will never know what exactly the admissions committee will ask. Nonetheless, you can properly prepare for a PhD interview. One of the elements is preparing a powerful introduction of yourself.

A self-introduction summarises who you are and why you want the PhD position. A powerful self-introduction can set the tone for the whole interview.

If you are unprepared, there is a risk of going in all directions when it is your turn to introduce yourself. It may throw you off and make you extra nervous for the remainder of the interview.

You may also like: How to strategically prepare for a PhD application

Several things are pivotal in PhD interview introductions:

• Keep it short: A good self-introduction is not too long. Of course, it should be longer than simply stating “ My name is … and I would like this position because I love doing research .” However, when introducing yourself, you should avoid speaking for longer than 3-4 minutes.
• Don’t take away all answers to potential questions: Some applicants try to predict all possible interview questions in advance. Then they try to answer all of them as part of their self-introduction. Don’t! There will be plenty of time in the interview to go into details. In a self-introduction, stick to a handful of key points that you want to bring across.
• Take non-verbal cues into account: Non-verbal cues include facial expressions, gestures and body language. During a self-introduction, you should make sure to come across excited about the interview instead of scared and defensive. Smile. Pause. You should also try to read the body language of the interviewer/s: Leaning forward, moving, or hand gestures are cues to wrap up your self-introduction.

Several things are best to be avoided when you introduce yourself in a PhD interview:

• Don’t start babbling: Many PhD applicants start babbling when they are nervous. Babbling means they talk rapidly and incomprehensively. They may repeat information and go in all directions. The easiest way to prevent babbling is by preparing the self-introduction in advance. The four steps explained below can help you with this preparation.
• Don’t provide too detailed information: A self-introduction in a PhD interview serves one purpose: introducing yourself at the start of the interview. Nothing more and nothing less. Hence, there is no need to go into detail about every single aspect. For instance, it is enough to explain what bachelor’s degree you earned. No need to list all individual courses that you followed.
• Don’t already ask questions: It is advisable not to end your self-introduction with several questions that you have. Rest assured that there will likely be a time when the interviewers ask whether you have any questions about the PhD programme that you applied to. However, most interviews will begin with questions to the applicant and not the other way around. So be mindful of this general structure of PhD interviews, and don’t create an awkward situation by immediately bombarding your interviewer/s with your own questions.

Step 1: State your full name

The first step is easy-peasy: State your full name. Why?

Not all names can be intuitively pronounced. So help your interviewer/s by saying out loud your whole name. In that way, they will be more comfortable addressing you by name throughout the interview.

Step 2: Give a brief overview of your educational (and professional) background

Your educational background has a lot of weight in the decision of the application committee on whether you are a good match for a PhD programme or not.

Therefore, it is useful to provide a brief summary of your educational background. Those who have work experience also benefit from including it.

Step 3: Explain why you are interested in the PhD position

The next step is to justify your interest in the PhD position. There are several powerful ways to explain why you want to do a PhD.

What is important in this next step, however, is to link your motivation to the specific PhD position that you are interviewing for. Remember to keep it relatively short!

Step 4: Thank everyone for the opportunity to be interviewed

The final step is to thank everyone for the opportunity to be interviewed. Be gracious and polite, and express your enthusiasm for the interview. This will create a comfortable atmosphere in which questions can be freely asked and answered.

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How to prepare a strong phd application.

Doctoral candidates and departmental coordinators at the Wharton School outline a few tips to help you navigate the PhD application process.

It’s no secret the application process can be intimidating. Where do you start? What exactly are schools looking for on your application? What materials do you need to submit? Doctoral candidates and departmental coordinators at the Wharton School have outlined a few tips to help you navigate the process.

Don’t Delay the Process

A successful PhD applicant starts thinking about their application months or even years before the deadlines. For Alejandro Lopez Lira , a third year student in Finance, the application process began a year before he actually submitted the paperwork. He said, “I spoke to my advisors way before, like one year before, about my letters of recommendation, where to apply, everything involved in the process.”

Each program has different requirements, which can make for a tedious process. Karren Knowlton , a third year in Management, said, “I took a little while to draft a personal statement. I had my mom, who teaches creative writing, and a few other people that I trust just read over it. Then you have to tweak it for different schools because they want slightly different things.”

Taking time to prepare your application is critical. Starting the process sooner rather than later gives you several advantages:

• It allows your letter of recommendation writers enough time in advance to thoughtfully prepare a letter that speaks to who you are as a PhD candidate.
• It gives you more time to review your materials, fix any errors, and proofread, proofread, proofread.
• Finally, it means a lot less stress when the deadline starts rapidly approaching. By planning ahead, you’ll have a much smoother process applying.

Get Letters of Recommendation

Prof. Matthew Bidwell , who previously served as the doctoral coordinator for the Management program , said a common mistake he sees are letters of recommendations from employers. Although he said it is impressive to see work experience, having an employer write a letter is not the best choice.

“We don’t pay very much attention to those because rightly or wrongly, we worry that they’re not looking for the kinds of things that we’re looking for,” he said. “If you have one, it’s not a disaster, but when you see people with two or three — most of their recommendations coming from their work — that kind of heightens our concern. You’re committing to a fairly specialized career, do you really know what that career entails?”

Instead, he suggests getting to know an academic who will be able to write a recommendation attesting to your ability to manage doctoral-level research and work.

Include Research/Work Experience in Your Field

Each program has a unique set of criteria to evaluate applicants, but several doctoral coordinators agree that some research and work experience in your field of interest will strengthen your application overall.

Prof. Fernando Ferreira , doctoral coordinator for the Business Economics and Public Policy and Real Estate programs, thinks work experience can be useful in demonstrating an applicant’s abilities. He said, “Any work experience after undergraduate school is important. If that experience is more related to research it’s even better, but work experience in general is always good.”

Prof. Guy David , doctoral coordinator for the Health Care Management & Economics program , thinks that work experience benefits applicants in terms of giving them a broader view of business. “Work experience creates retrospection about how the world works, how organizations make decisions, and how people function in various situations,” he said.

However, he warns that spending too much time away from an academic setting can have its drawbacks too. “It may lead people to start their PhD later when they are not in the habit of immersing themselves in rigorous studies and have a shorter horizons to develop a name for themselves,” he said.

Although having both research and work experience can strengthen your application, you will not be denied entry because you are lacking either.

Prof. Bidwell said, “I think research experience does give us some confidence that people have some idea about what it is that we do. In terms of work experience, I think we don’t have a strong view. We quite like work experience, but we also take people straight out of undergrad.”

Prepare for the Standardized Tests

Most PhD programs require students to take the Graduate Record Examinations (GRE). Having high test scores is a key part of an application as it tests skills learned over the course of many years in school. Quantitative skills are especially important when applying to doctoral programs in business areas. Much like any other standardized test, the GRE requires preparation.

Karren, who took the GRE twice to ensure her scores were high enough, offered advice to those who may be struggling. “I would absolutely recommend practicing the writing beforehand. Look up examples and have your outline structured,” she said. “So much of it is just getting the right structure and how you formulate your arguments so knowing what they’re looking for is key.”

Test prep can be time-consuming, but like anything else, practice makes perfect. There are multiple text books and online sites to help you prepare for the exam. Karren aimed to improve her math scores the second time she took the GRE and recommended this site to help strengthen math skills.

Taking advantage of resources to help you study can limit the number of times you need to take the GRE while ensuring you score high enough to remain in the applicant pool.

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Posted: August 4, 2017

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Whether you’re just starting your research on PhD programs or you’re ready to apply, we’ll walk you through the steps to take to become a successful PhD candidate.

Deciding to get a PhD

You might be surprised to find out what you can do with a PhD in business.

Is an Academic Career for You ? What Makes a Successful PhD Student

Preparing for the Doctoral Path

The skills, relationships, and knowledge you need to prepare yourself for a career in academics.

How the PhD Program Works How to Become a Successful PhD Applicant

Choosing the right program

What’s the difference between PhD programs? Find out how to choose one that fits your goals.

What to Consider When Choosing a Doctoral Program What Differentiates R1 Universities?

Starting an application

Tips for a successful application process.

Application Requirements Preparing Your PhD Application

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Phd Interview Presentation Template

PhD Interview Presentation

Transcript: Interview for PhD position at University of Paris Academic Background Academic Background - High School Degree in Mathematics Chounen High School, 2016 - Bachelor Degree in Physics University of Djelfa, 2016-2019 - Master Degree in Astrophysics University of Constantine 1, 2019-2021 Courses Highlights M1 Courses First year of master degree Fundamental astronomy Astronomical data processing Interstellar medium computational physics general relativity Particle physics Courses Highlights M2 Courses Second year of master degree Standard model Astroparticle physics High-Energy Astrophysics Cosmic Rays Nuclear Astrophysics Vision Experience in data analysis Experience in correlation research Experience in scientific writing Experience in Python programming and Basic ML knowledge Why would I fit for this program Research Experience Research DRAFT Paper Algorithms Here are few algorithms used in my previous works correlation finder D'Agostni Fitting ML Algorithms Machine Learning Algorithms Support Vector Machines K-Nearest Neighbors Decision Trees Future Goals To do learn and develop machine learning algorithms for the search of neutrino-gamma correlations and analyze its data. Approach: - benefit from my previous experience -benefit from the AHE group -learn advanced machine/deep learning techniques THANK YOU

Transcript: Interview for PhD position at Maastricht University Academic Background - BS in Computer Engineering (IT branch) Azarbaijan Shahid Madani University, 2013-2017 - MS Degree in Computer Engineering Bilkent University, 2019-2022 Academic Background BS Courses Highlights Artificial Intelligence Decision Support and Expert Systems Database Systems Discrete Mathematics BS Courses MS Courses Highlights MS Courses Machine Learning Deep Learning Computer Vision Computational Geometry Parallel Computing Research Experience Research Applying Information Retrieval Paradigms in NL to SQL Translation Conditional text generation for query recommendation Explaining multi-class classification results TranSQLate MS Thesis improve the accuracy by 16.5% Learning with additional feratures Transformers DRAFT Paper Data Scientist 1001Epochs Work Experience Used LLMs to paraphrase Question-Answering model using Langchain Similarity search Vision Experience in data analysis Experience in correlation research Experience in scientific writing Experience in Python programming and Basic ML knowledge Why would I fit for this program Trustworthy Explainiability, Transparency, Traceability Trustworthy Conversational AI Scale Blending skills personality, knowledge, empathy Generation strategies beam search, next token sampling, and n-gram blocking Conversational AI Future Goals To do learn and develop machine learning algorithms for improving the quality of chatbots and Conversational AI Approach: - benefit from my previous experience -benefit from the great research envirnment at UM -learn advanced machine/deep learning techniques THANK YOU

PhD Interview Presentation Template

Transcript: Why I Have Applied for a PhD Program Project 2 Overview Diving into [Project Name], I delved into [brief description of the research questions]. The methods utilized, such as [mention specific methods], led to [highlight significant outcomes]. This project enhanced my expertise in [mention relevant skills or knowledge areas]. Mostafa Gharbawi Dissertation project: Synchronisation of Heterogeneous Oscillators in Power Networks Introduction: Unveiling My Academic Journey With a background in [mention field], I am deeply passionate about [add specific research interests]. Through my academic journey, I have honed my skills in [mention relevant skills] and aim to make impactful contributions to the field of [mention field]. A Stable Power Network: Aim: Online integration of renewables into the grid, Eliminating environmental impacts. Challenges: Operational and inertial dissimilarity, system instability, Asynchronisation and frequency disturbance, Uncertainty in availability of natural resources. Prepared for the Next Chapter Personal Background: Studied Engineering Mathematics, Skillful in data modeling, Worked on numerous group projects, Helped my employer to increase revenue, Highly receptive, enthusiastic, and discipline. Envisioned Power Network: Project 1 Overview Solutions: Conventional power network model, Kuramoto model. Results: Synchronisation and stability equivalence, Quantifying network connectivity, Synchronous parametric conditions. Future work: Feasible synchronisation conditions, Locally merging green generators. Involvement in Other Group Projects Automation of Manual Tasks Early Prediction of Sepsis Disease Objective: Service Quality, End-user experience. Tools: Challenges: Data pre-processing, Missing clinical records, Effective approach. Binary Probabilistic Classification: Maximum a Posteriori method, Naive Bayes Theorem. Outcome: Reduced completion time to 20%, Streamlined journal process, Improved invoicing quality. Why Am I the Ideal Candidate for This Project? My educational background, Possess genuine passion for this field, Result-driven and pragmatic in approach, Responsible for my own academic development, Believe in AI as a tool for the betterment of humanity. Assignment Using MAP: Skills Acquired: Data quality assurance, Coding reproducibility, Collaboration & improvement, Interpersonal & communication. Final Results: THANK YOU FOR LISTENING Improved input data Increased success rate from 45-60% Any questions? [email protected]

Transcript: Interview for PhD position at University of Antwerp Academic Background Academic Background High School Degree Exchange student in Canada for 6 months Master Degree in Physics Federal University of Pernambuco PhD in Physics Federal University of Penambuco Graduation in Physics Federal University of Pernambuco 2017-2019 2013 2020-2022 2022-2026 Courses Highlights Classical Electrodynamics Quantum Theory Statistical Mechanics Quantum Optics Master Courses Courses Highlights PhD Courses Advanced Classical Mechanics Computational Physics Magnetic Properties of Structures Advanced Classical Electrodynamics (ongoing) Teaching experience Experience teaching physics High School Teacher Colégio Fernando Ferrari High School Teacher Colégio Imaculado Coração de Maria Substitute Professor Federal University of Pernambuco Contract Professor Faculty of Igarassu 2021 2021 - 2023 2020 2023 High School Teacher National Commercial Apprenticeship Service - Senac 2023 Prizes Useful skills Checklist Experience using Latex for scientific writing Experience solving Monte Carlo and Molecular Dynamic simulation Data analysis using OriginPro and Gnuplot Experience using OOMMF and Mumax3 for simulation of magnetic reversal and FMR Programming skills using Bash Script, C, Octave and Python Research Research Experience Algorithms Some previous algorithms Monte Carlo Molecular Dynamic Mumax3 + Bash Results a) b) c) d) Draft Paper Dipolar magnetic interactions in 3x3 arrays of rectangular Ni nanopillars Simulations of FMR for study the shape anisotropy in square hollow nanopillars Effects of the packing factor on magnetic anisotropy in a 3x3 array of square hollow Ni nanopillars Simulated FMR to study in plane magnetic anisotropy of 3x3 array constituted by square base nickel nanopillars Future Goals Learn Density Functional Theory 01 Using DFT to find magnetic parameters Calculations using VASP 02 Learn and use VASP in simulations Improve my scientific writing skills 03 04 Objectives Study and enhance my knowledge to publish more scientific papers Contribute with my expertise and proactivity Use my previous experiences to contribute to my fellow's work and keep a good labor environment Questions? ?

Transcript: PhD Interview Presentation Safety and Sustainability in Bio-based Composites' Structural Design Another point Remember to break up your words so your audience can follow. Academic Background Master's in Architecture, Building, and Planning (Eindhoven University of Technology) Specialization: Architectural Urban Design and Technology Thesis: Sustainable design of detached houses for extended Danish families Bachelor in Architecture (Sadjad University of Technology) Key Courses: Strength of Materials, Building Materials, Statics Willow Technologies, Ghana Source: Paul Yakubu. "Willow Technologies Transforms Agricultural By-Products Into Building Materials in Ghana" 28 Jul 2023. ArchDaily. Accessed 1 Jun 2024. <https://www.archdaily.com/1004645/willow-technologies-transforms-agricultural-by-products-into-building-materials-in-ghana> ISSN 0719-8884 Thank you for your time and consideration Skills and Competencies Technical Skills: Autodesk AutoCAD Autodesk Revit Rhinoceros 3D Adobe Creative Suite (InDesign, Illustrator, Photoshop) Python SQL SPSS Introduction Hasti Serajahmadi MSc in Architecture, Building, and Planning specializing in Architectural Urban Design and Technology BSc in Architecture Professional Experience Internship at UArchitects (May 2022 – Oct 2022) Collaborated on sustainable design projects and competitions such as MICROHOME Junior Architect/Assistant at Jam Silica Processing Company (Sept 2020 – Aug 2021)

PhD interview Presentation

Transcript: Input: Literature review Existing data sets Qualitative & quantitative data collected from case study regions Outputs: Create spatial framework Model various land use scenarios using framework at different spatio-temporal scales Present future scenarios in social ecological political contexts Glastir Woodland Creation Opportunities Phase 1 habitat map Project methodology Broadleaf woodland habitat network - Forest Research Various indexes: % cover, No. of patches, total edge, core area. Distribution of welsh woodland is spatially correlated rather than random and governed by topography, hydrology and land use (agriculture/plantation) Conifer plantations - highly correlated, broadleaf woodlands - less clustered Europe - percentage tree cover Ancient Woodland Inventory (2011) Northern forest Land cover thresholds (Forest Research) Peri-urban forest Afforestation - "50 million new trees" Urban/industrial and post-industrial landscape Shadows path of east-west M62 Biodiversity offsetting - masking woodland losses elsewhere? Only £5.7 million from Government from a projected total of £500 million Centre for Ecology and Hydrology - Land cover map 2015 Where can we see some of these drivers playing out in a UK context? Revive absent ecological processes Increase habitat connectivity. Core zones and buffer zones. Land already committed through NGO partners and public forest. Big change is bringing farmers onboard Precedents set by Pontbren project and MWT Pumlumon project (PES) Work on adapting commons concept Summit to Sea/O’r Mynydd i’r Môr Northern Forest Policy instruments Forest products markets Forest cultures Value of competing land uses Innovation - tech & skill Land abandonment Biodiversity - habitat protection Topography/Hydrology Thank you! Diolch yn fawr! Scale - at what spatio-temporal resolutions? Mapping between models and real world - applying landscape thresholds to random and actual landscapes. Modelling resilient, robust woodlands. "Crowded future landscapes" - competing land uses - woodland emergence within hostile matrix of intensive land use - disruption of open habitat networks. Interplay between spatial analysis and social research. Ethical dimension - respect for present landuse practice and social/cultural importance of this. Place spatial analysis within complex social ecological economic, politcal context. Before Adam Thorogood Summit to Sea Case studies 2016 Wales forest extent, loss & gain Land use change on a large scale involving multiple partners. Passive vs. Active afforestation National Forest Summit to Sea - terrestrial and marine, upland, agricultural Northern Forest - built environment, infrastruture, peri-urban National Forest - 28 years into project, peri-urban, afforestation Borders Forest Trust - Carrifran Wildwood, upland afforestation Knepp Castle - estate, ex-arable/dairy land, process-led wilding Trees for life - Scottish highlands, restore Caledonian forest Mersey Forest - community-led, partnership, peri-urban "Emerging spaces for native woodland growth in Britain's crowded future landscapes." Operationalising future planing PhD Interview presentation Adam Thorogood 10th Aug 2018 Useful Datasets What are the drivers and constraints for increase or decrease in forest cover? Trees for Life Slovenia forest extent, loss & gain Phase 1 habitat survey Ancient Woodland Inventory Glastir woodland creation opportunities Agricultural data sets - IBERS Sentinel 2 satellite data UK forest extent, loss & gain

Transcript: Hossein Dehghan-Niri highly motivated, learner and explore for new ventures EDUCATION EXPERIENCE SKILLS Research [email protected] EDUCATION Bachelor Degree Electrical Engineering(Control major) subjects and courses: Linear\Modern\Digital\industrial... Control Simulation and implemention Controllers Simulation and Modelling Electrical machines and industrial electronics MCUs Programming and Circuit Design Programming (C\Cpp\Python) Machine learning KNTU University Address of the institution: Tehran City, Iran Master's Degree Electrical Engineering(Electrical Machines And Power Electronics) subjects and courses: Electrical Machines modeling and control System Identifications Optimal Control Converters Control and Design General Theory of Electrical Machines KNTU University Address of the institution: Tehran City, Iran EXPERIENCE 2016-2018 2017-2018 Undergraduate research assistant ARAS-KN2C Team Advanced Robotics and Automated Systems (ARAS) • Implementing Fuzzy-PID controllers for altitude and position control of quad-rotors • PCB and 3D Body Design of quad-rotor • Control and drive 3-phase BLDC motors • Planning and navigation control of outdoor quad-rotors by GPS • Embedded programming and work with MAV link protocol • Achieve third place in indoor MAVs in the Iranopen 2018 Robotic competition 2018-2020 2018-2020 KNTU Undergraduate Research Assistant Bachelor project: Parameter estimation of industrial winding (Damavand Tokamak) using an Output-only Observer/Kalman filter identification (O3KID) method Simulation Modeling course project: Modeling and Simulation of 3DOF Arm Using Co-simulation of Simscape and 3D model of SOLIDWORKS Freelance project: Sign detection using a classic computer vision method Computer Vision course project: Persian Handwriting Recognition using Convolutional Neural Network and Computer Vision Algorithm 2020-2023 2020-Present KNTU Advanced Electric Machines and Power Electronics Research Lab Graduate Research Assistant AMPE LAB Implementing speed controller of SPMSM with TI DSP C2000 series using SIMULINK Coder Analytical modeling of PMa-SynRM machine Torque ripple modeling using MLP ANN based on FEA data Torque ripple reduction of PMa-SynRM Using Harmonic injection optimized by Genetic Algorithm Torque ripple reduction of PMa-SynRM Using ANN torque ripple model estimator Teaching Assistance of Electrical Engineering Fundamentals Course Author and Co-author of four conference papers and one journal paper Adjacent instructor of electronic and control in robotic course 2020-Present KNTU Advanced Electric Machines and Power Electronics Research Laboratory Graduate Research Assistant Outcomes and Publications: AMPE LAB Publications: Thesis: "Torque ripple minimization of PMSMs using control algorithms" Novelty: "Develop model for output torque of PMSMs include torque ripple " PEDSTC2023: "Extended model of pm-assisted synchronous reluctance motor including torque fluctuation" Novelty: Propose ANN model for torque ripple use little data from FEM. ICEMD2023: "Torque fluctuation minimization in pma-synrm using optimized current harmonic injection by genetic algorithm" Novelty: Use ANN model of torque ripple as feedback for GA optimization. In preparing: "Torque ripple reduction in PMSMs using FOC aided by ANN torque ripple estimator" Novelty: Use ANN model of torque ripple model as estimator. SKILLS non-technical skills Soft Skills Native language Second language Persian English TOEFL : 86 Reading: 24 Listening: 24 Writing: 20 Speaking: 18 Other Skills Team-Working and Teaching Electrical Skills: Skills description: Electrical Machines Drive: Modeling, Control, Analysis Control Systems: Linear, Modern, Digital, Optimal Control Power Electronics: Design, Control, Analysis System Identification: Static, Dynamic, Nonlinear Experience in prototype development involving Designing, soldering, 3D printing, assembly, testing, and familiarity with mass production processes, including manufacturing, quality control, and supply chain management. Electrical Software Skills Skills description: COMPUTER Programming Languages: Python, C++, MATLAB for modeling, simulation, and data analysis. Simulation Tools: SIMULINK, LTSpice MCUs: STM32F and Ti C2000 series programming Design: PCB design with Altium Design 2D and 3D design using SOLIDWORKS Version Control: GIT and SVN Machine Learning & AI: familiar with machine learning frameworks such as Tensorflow, Keras, Opencv My Hobbies Hobbies description: Hiking and biking Traveling Movie and Persian Music Entertainments Research Present status of my research progress: Verify my thesis by Implement on hardware and publish result in journal paper Research interest: Actively involved in developing control algorithms to optimize drive and power electronics systems, and implementing them on hardware.

Transcript: My profile Thank You! Academic Background Academic Background - B.Tech, Department of Electronics and Communications Engineering Jawaharlal Nehru Technological University Kakinada, 2017-2021 - Research assistant, Department of Neuroscience University of Geneva, 2021-Present To develop low complex ML/DL algorithms for various disease detections using biomedical signals. The primary focus of my reseach is on neuro and cardio signals (EEG and ECG). Vision Research Research Experience Published Papers Under Review Papers Algorithms Here are few algorithms used in my previous works Decomposition Algorithms Singular Spectrum Analysis Discrete Wavelet Transform Wavelet Packet Decomposition Intrinsic Time-scale Decomposition Dimensionality Reduction Principal Component Analysis Kernel Principal Component Analysis Sub-Pattern based PCA Independent Component Analysis Linear Discriminant Analysis Autoencoders ML/DL Algorithms Machine Learning Algorithms Support Vector Machines K-Nearest Neighbors Decision Trees Deep Learning Algorithms CNN's LSTM-RNN's Transfer Learning To do research and develop computationally cheap machine/deep learning algorithms for the applications of biomedical signal processing. Approach: - To replace all the statistical feature selection techniques with learn-able feature selection algorithms. - To increase the use of deep learning for the extraction of multi-variate features from biomedical signals. Future Goals

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If You Are A PhD, Then You Need This 21-Point Interview Presentation Checklist

Written by Amruta Agharkar

I got my first industry job through networking .

I worked there for more than 1.5 years, but realized I wanted something more challenging.

So, I started applying for jobs but didn’t really get anywhere.

As advised by the Cheeky Scientist Association, I started networking and doing informational interviews while simultaneously applying for open positions.

Soon, I got a notification for a position that I had applied for and they offered me a phone interview.

Since no one in this company knew me, how I interviewed was extremely important.

It was really the first impression I would make on the people at this company.

To prepare for the interview , I knew I needed to highlight my transferable skills and demonstrate how my goals align with the company’s core values and mission.

I also knew I needed to practice, practice, practice!

This company’s interview process had 3 parts.

My first call was with a recruiter who asked me questions such as:

• Tell me about yourself.
• Why do you want to work for this company?
• Do you have experience in XYZ?
• Are you willing to relocate?
• Have you worked in a fast-paced environment?
• How do you like to communicate with colleagues?

At the end, the recruiter said that she would like to set up a Skype call between me and the hiring manager.

Yes! Part 1 complete!

My Skype call with the hiring manager was filled with both technical and behavioral questions, which I was ready to answer.

It went well and within 2 hours, they invited me to an on-site interview!

Part 2 complete!

To learn more about what the company was looking for in the onsite presentation, I reached out to the hiring manager to see if they had any insights to offer.

From this request, the hiring manager was kind enough to offer to have a call with me to discuss her expectations and what she wanted to see in my presentation.

Now that I knew exactly what they wanted, I started to prepare like crazy.

I would be giving a 50-minute presentation followed by 1:1 interviews with 11 people from cross-functional teams.

I worked really hard on the presentation to make sure I conveyed what they wanted to hear, that I highlighted my transferable skills, and that I made it clear why I am a good fit for the company.

The day of the interview, my presentation went really well!

All my preparations had paid off and I felt very positive after meeting the team.

Part 3 was complete, and now I just had to wait!

Within a week, I received an email from a recruiter asking for my references.

I had them ready.

And, about a week later, I got the job offer!

My extreme preparations for the onsite interview presentation were essential to my getting this job offer.

Why Only The Best Candidates Get An Onsite Interview

The competition to get hired in industry is fierce.

But, as a PhD, you are a top job candidate .

You just have to know how to set yourself apart and communicate your value, because getting to the interview stage is hard.

And, now is a great time to be on the hunt for a job.

According to a recent report by CNBC , for the first time in nearly 20 years, there are more job openings than people who are unemployed.

There are 6.7 million job opening and 6.4 million people looking for work.

Now, only a very small percentage of those 6.7 million will be competing directly against you, but that still leaves lots of competition.

Most companies receive hundreds of applications for a single position, while larger companies can receive thousands.

For example, Fast Company reported that in one year, Tesla received nearly 500,000 applications.

Submitting an application or getting a referral to hand your resume to the hiring manager is the very top of the hiring funnel and it narrows very quickly.

No matter how many job applications are submitted, a company will only call about a dozen applicants for the initial phone screen or video interview.

And, at the end of the funnel, there will only be 2-3 candidates given the opportunity for an onsite interview.

That means that if you get to this onsite interview stage, you will have already beat out hundreds or thousands of other applicants.

Companies are picky about who they bring out to a site interview because this is when hiring starts to get expensive.

On average, it costs a company about $4,000 to hire a new person, and much of that expense is incurred during the site visit, according to the Society for Human Resource Management .

A company is investing in you by bringing you out for a site visit , so the pressure is on.

You are so close to getting hired if you’ve been offered a site interview, so now is the time to dig in and give it everything you’ve got.

21-Point Checklist For PhDs To Give The Best Industry Interview Presentation

Before your presentation, call and find out what type of presentation the company wants you to give.

Ask what you should talk about and who will be there.

Don’t be scared to ask about the topic of the presentation or afraid you will look silly by asking.

The reality is that you will look ridiculous if you prepare a presentation of your research, but they wanted you to do a presentation about one of their products.

Always ask for clarification.

And, once you know what they want, it’s time to prepare.

Here is a 21-point checklist for PhDs preparing for an industry interview presentation…

1. Know your audience and tailor your talk to them.

Are you presenting to scientists, non-scientists, or a mixed audience?

Do they have a background in what you will be presenting?

Are they who you will work with, or are they supervisors?

It is key to know who you are presenting to so that you can tailor the content and delivery of your presentation appropriately.

2. Understand the purpose of your presentation.

What does the company want to learn about you from this presentation?

There are a few purposes for interview presentations.

1. Presenting your research

2. Pitching one of their products

3. Presenting about yourself

But, beyond these broad topics, it’s also important to figure out what they are looking for in the presentation in terms of skills that you have and to make sure you cover those items.

3. Know the one thing you want them to remember from your presentation.

Most people will only remember one thing from a presentation.

So, think about what this should be.

Do you want them to remember a particular result you had in your research?

Do you want them to remember that you are really awesome at a particular skill?

Or, something else?

Once you figure this out, make sure that it is clearly communicated.

4. Talk, don’t read.

Do not read what is on your slide.

This is awful.

And boring.

And a waste of slide space.

Use your slides to show things that are hard to describe with words, such as data or images.

This will keep the audience’s attention much better than a wordy slide that you are reading to them.

They know how to read, you don’t have to do it for them.

5. Practice your presentation out loud.

Just saying your presentation to yourself in your head is not enough practice.

For an interview , you need to be at your very best.

Think about how much you prepared for your thesis defense presentation and apply that level of effort.

That is how you will impress your potential employer and get hired.

6. Set the context of your research.

In academia, we tend to become hyper-focused on our specific area of expertise.

When giving your interview presentation, you need to realize that your audience does not have the same background as you.

They need you to provide context for your research.

Ask yourself, “Why should these people care about my project?” and then use that to set the stage.

7. Don’t overwhelm the audience with too much data.

Yes, you have spent the last 5-7 years researching the same project and you have lots of data.

Do not show all this data in your interview.

Less is more.

Choose the most important, most impactful, and most relevant data, and show only that.

8. Monitor your breathing.

Are your breaths shallow?

Are you breathing quickly, or very rarely?

Practice taking slow and deep breaths as you give your presentation.

This will calm your nerves and make you appear more confident.

9. Don’t brag, but connect to the audience through failures and how you overcame them.

The main purpose of your interview is to persuade your potential employer that they should hire you.

You need to demonstrate that you are competent without sounding arrogant.

A great way to do this, is to talk about the minor failures within a project and how you overcame them to achieve the desired result.

This makes you seem both relatable and skillful.

10. Link your project to the company’s focus.

Always bring the focus back to the company you are interviewing with.

Do your research beforehand to figure out how you can connect your research to the company’s focus in a meaningful way.

This could be highlighting a product of theirs that was essential to your project, or demonstrating how the overall goals are similar.

You want to show that you are invested in the company and this is a great way to do that.

11. Have a slide that introduces you in a fun way.

Again, remember that the main point of this interview presentation is to convince your potential employer to hire you.

So, tell them a little bit about yourself with your presentation.

What do you like to do, besides work?

Adding in some fun details will make you more relatable and likeable, which will increase you chances of getting hired.

12. Vary the speed of your speech.

The main reason people sound monotonous is because they don’t change the speed of their speech.

Talking at the same pace for your whole presentation is boring.

Don’t talk too fast, but make sure there is variety.

Slowing down when making a key point is a good way to make sure you do this and to allow your listener to have time to grasp the concept you are making.

13. Spark interest through emotion and sensory details.

Let’s be honest, research can be dry.

Like… really dry.

So, spice up the story to keep your listeners’ attention by describing things with sensory details.

This will allow the audience to visualize what you are talking about.

Also, talk about the emotions involved in what you are presenting, as this will keep the audience invested in your story.

14. Use lots of white space on your slides.

Your slides need to be aesthetically pleasing.

This means simple and clean, with lots of white space .

A presentation that is packed with words and data is distracting for the audience.

A clean and focused slide allows you to maintain the audience’s focus on the important information and prevents them from looking at parts of the slide that you have not explained yet.

15. Check your spelling.

This always needs to be addressed.

Spelling and grammatical errors make you look sloppy — and no one wants to hire sloppy.

Use more than just the default spell check.

Read over your presentation a few days after you have created it, or have a friend look it over for mistakes.

16. Use only one font.

Use only one font and don’t use a weird font.

Stick to those tried and true fonts, such as Arial and Calibri.

Basically, you don’t want the audience to notice your font.

Keep it basic and keep their attention focused on the information.

17. Spend about 1 minute on each slide.

As a general guideline, when creating your presentation, know that you will spend about 1 minute on each slide.

So, if you are required to give a 15-minute presentation, you should have about 15 slides.

This guide will help you prepare and should help keep you on track for time when you are giving the presentation.

18. Use high quality images.

Pixelated or stretched images are distracting.

Only use high quality images of your data.

If you are using a picture to help make a point, again, make sure this is high quality, and also remember attribution.

Demonstrate your understanding of this by either using attribution-free images or by citing the source for your images.

19. Address the required technical skills for the position.

If you are not sure what parts of your research to present, choose data that was acquired using the technical skills the company is looking for in a job candidate.

Your interview presentation is a valuable opportunity to physically show your potential employer that you have the required skills.

You are not just telling them you have these skills, you are showing them data you produced using a specific technique.

Don’t ignore the importance of highlighting your relevant technical skills.

20. Include examples of you using transferable skills.

Just like you did with your technical skills, your interview presentation gives you the opportunity to show how you have used your important transferable skills .

Are they looking for a leader?

Then talk about a project where you led and managed others to achieve the result.

Are they looking for high-level problem-solving skills?

Then, discuss how you had to work through problems during your project.

Show them you have the right transferable skills and would make an awesome employee.

21. Tell an engaging story.

No matter what you are talking about, the bottom line is that you need to tell an engaging story.

If your audience is bored or disconnected from what you are saying, you can kiss the job goodbye.

Practice your presentation a lot so that, when delivering it, you can focus on being engaging and not on trying to remember what to say.

Just think about all the boring talks you have sat through and try not to do that.

If you have made it to the interview presentation stage, then you are one of the final few top candidates. So, this interview is the time to push further and prove that you are the best person for the job. This means extensively preparing for the interview presentation. Outlined here, are 21 things that you should prepare for leading up to your presentation, so that you can “wow” your potential employer and get hired. As always, after the presentation, follow up with thank-you notes and convey your excitement. An interview presentation is tough, stressful, and takes hard work — but, if you do it right, you will get hired.

If you’re ready to start your transition into industry, you can apply to book a free Transition Call with our founder Isaiah Hankel, PhD or one of our Transition Specialists.  Apply to book a Transition Call here.

Hi, I'm Isaiah Hankel, PhD

I am CEO of Cheeky Scientist, the world's premier career training platform for PhDs. If you want free insights on resumes, LinkedIn, interviewing, careers and more, just enter your details below.

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ABOUT AMRUTA AGHARKAR

Amruta Agharkar PhD, is an experienced scientist with 4+ years of industry experience specializing in pharmaceutical formulation, development, and analysis of dosage forms. She has over four years of experience as a product development and formulation scientist working in collaborative environments.

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