master thesis position

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Master in Energy Science and Technology

Open master's thesis positions.

On this page you will find a selection of possible Master Thesis opportunities, some notified to us directly by the research groups of MEST Tutors and some listed on the SiROP database.

This list is not exhaustive, other Thesis projects might exist, please check the respective listings of Departments and research groups you are particularly interested in.

See also Internship opportunities.

Projects directly supplied by MEST Tutors

Master projects:

• Download Innovation patterns of geothermal energy technologies (PDF, 128 KB) vertical_align_bottom at the Energy and Technology Policy Group
• Download Assessing the innovation potential of electrochemical direct air capture (PDF, 122 KB) vertical_align_bottom at the Energy and Technology Policy Group

Projects from the SiROP Database

ETH Zurich uses SiROP to publish and search scientific projects. Here is a selection of projects currently available which may be suitable for MEST students. For more information visit  external page sirop.org call_made .

Connecting player interaction structure and decision-making dynamics to supply chain stability

supply chain, optimization, game theory, stochastic games, gradient descent, consensus,

Description

Contact details, control in competitive settings: open-loop or feeedback nash equilibria.

Control theory, Game theory, Robotics, Autonomous Driving

PLEASE LOG IN TO SEE DESCRIPTION

Design and control of a hydroponics system.

Control Theory, Engineering, Hydroponics

Reinforcement Learning Control with Probabilistic Safety

Machine Learning, Reinforcement Learning, Control Theory, Safety, Stochastic Systems

Robotic 3D printing Microbial Biocement

Living materials, bio-inks, 3D printing, hydrogel, architecture, bio-cementation, MICP

How low can you go? Optimal control of buildings with minimal number of sensors

energy, building automation, sensors, control, Nest

Mycelium materials and digital fabrication

mycelium,textiles,performance,construction, bio-fabrication

Controller Design for Resilience in Supply Chains

Supply chain, Robust MPC, Resilience, Flexibility.

Data Driven Control Approach for Recommender System Design

Recommender Systems, Data Driven Control

Published since: 2024-02-29 Earliest start : 2024-03-01 Organization : Automatic Control Laboratory Hosts: Eising Jaap , De Pasquale Giulia Topics: Information, Computing and Communication Sciences , Engineering and Technology Details: Open this project... 

Primal-dual Feedback Optimization for Power Grid Operation

Computational control, optimization, primal-dual methods, smart grid

Joint Energy Hub and Electric-Bus Fleet Management under Bidirectional Charging

Bus, Electricity Storage, Battery, Vehicle-to-Grid, Flexibility, Energy Hub, Model Predictive Control

Development of a Conceptual Framework for Resilience Assessment of Smart Energy Systems

Resilience Assessment; Smart Energy System; Extreme social events

Non-Intrusive Load Monitoring and Customer Segmentation assisted demand flexibility provision in Swiss Households

Non-Intrusive Load Monitoring; Customer Segmentation; Machine Learning; Demand Flexibility; Black-box Modelling

Scan Path Generation for a Novel Highly Efficient Powder Bed Fusion (PBF) Machine

Programming, Software, Architecture, Control, Javascript, Scan path, Laser, Powder bed fusion,

Sheet Estimator for Laser Cutting Machine

data acquisition, machine calibration, pose estimation

Should humans fly in aerial vehicles?

game theory, Markov decision process, traffic management, Braess paradox, optimization, routing games, aerospace engineering

Self-learning non-linear adaptive heating curve adjustment for intuitive optimization

Gaussian process modelling and Bayesian Optimization Optimization Dynamic heating curve adjustment Self-learning algorithm Industry related project Reduction of energy consumption while maintaining room comfort Generalization error - generic solution for use in all heating curve controlled heating systems Machine Learning

Transfer Learning for Building Thermal Modeling

Crypto-governance with karma

Optimal Design of Green Methane Production Sites to Achieve Cost-Effective Long-Term Energy Storage

Optimization, design, energy systems, renewable energy, green energy, energy storage, synthetic methane

Robustify Feedback Optimization through Regularization

Feedback optimization, robust optimization,power system

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• Knowledge Base
• How to Write a Thesis Statement | 4 Steps & Examples

How to Write a Thesis Statement | 4 Steps & Examples

Published on January 11, 2019 by Shona McCombes . Revised on August 15, 2023 by Eoghan Ryan.

A thesis statement is a sentence that sums up the central point of your paper or essay . It usually comes near the end of your introduction .

Your thesis will look a bit different depending on the type of essay you’re writing. But the thesis statement should always clearly state the main idea you want to get across. Everything else in your essay should relate back to this idea.

You can write your thesis statement by following four simple steps:

• Start with a question
• Write your initial answer
• Develop your answer
• Refine your thesis statement

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Table of contents

What is a thesis statement, placement of the thesis statement, step 1: start with a question, step 2: write your initial answer, step 3: develop your answer, step 4: refine your thesis statement, types of thesis statements, other interesting articles, frequently asked questions about thesis statements.

A thesis statement summarizes the central points of your essay. It is a signpost telling the reader what the essay will argue and why.

The best thesis statements are:

• Concise: A good thesis statement is short and sweet—don’t use more words than necessary. State your point clearly and directly in one or two sentences.
• Contentious: Your thesis shouldn’t be a simple statement of fact that everyone already knows. A good thesis statement is a claim that requires further evidence or analysis to back it up.
• Coherent: Everything mentioned in your thesis statement must be supported and explained in the rest of your paper.

Prevent plagiarism. Run a free check.

The thesis statement generally appears at the end of your essay introduction or research paper introduction .

The spread of the internet has had a world-changing effect, not least on the world of education. The use of the internet in academic contexts and among young people more generally is hotly debated. For many who did not grow up with this technology, its effects seem alarming and potentially harmful. This concern, while understandable, is misguided. The negatives of internet use are outweighed by its many benefits for education: the internet facilitates easier access to information, exposure to different perspectives, and a flexible learning environment for both students and teachers.

You should come up with an initial thesis, sometimes called a working thesis , early in the writing process . As soon as you’ve decided on your essay topic , you need to work out what you want to say about it—a clear thesis will give your essay direction and structure.

You might already have a question in your assignment, but if not, try to come up with your own. What would you like to find out or decide about your topic?

For example, you might ask:

After some initial research, you can formulate a tentative answer to this question. At this stage it can be simple, and it should guide the research process and writing process .

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Now you need to consider why this is your answer and how you will convince your reader to agree with you. As you read more about your topic and begin writing, your answer should get more detailed.

In your essay about the internet and education, the thesis states your position and sketches out the key arguments you’ll use to support it.

The negatives of internet use are outweighed by its many benefits for education because it facilitates easier access to information.

In your essay about braille, the thesis statement summarizes the key historical development that you’ll explain.

The invention of braille in the 19th century transformed the lives of blind people, allowing them to participate more actively in public life.

A strong thesis statement should tell the reader:

• Why you hold this position
• What they’ll learn from your essay
• The key points of your argument or narrative

The final thesis statement doesn’t just state your position, but summarizes your overall argument or the entire topic you’re going to explain. To strengthen a weak thesis statement, it can help to consider the broader context of your topic.

These examples are more specific and show that you’ll explore your topic in depth.

Your thesis statement should match the goals of your essay, which vary depending on the type of essay you’re writing:

• In an argumentative essay , your thesis statement should take a strong position. Your aim in the essay is to convince your reader of this thesis based on evidence and logical reasoning.
• In an expository essay , you’ll aim to explain the facts of a topic or process. Your thesis statement doesn’t have to include a strong opinion in this case, but it should clearly state the central point you want to make, and mention the key elements you’ll explain.

If you want to know more about AI tools , college essays , or fallacies make sure to check out some of our other articles with explanations and examples or go directly to our tools!

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A thesis statement is a sentence that sums up the central point of your paper or essay . Everything else you write should relate to this key idea.

The thesis statement is essential in any academic essay or research paper for two main reasons:

• It gives your writing direction and focus.
• It gives the reader a concise summary of your main point.

Without a clear thesis statement, an essay can end up rambling and unfocused, leaving your reader unsure of exactly what you want to say.

Follow these four steps to come up with a thesis statement :

• Ask a question about your topic .
• Write your initial answer.
• Develop your answer by including reasons.
• Refine your answer, adding more detail and nuance.

The thesis statement should be placed at the end of your essay introduction .

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

McCombes, S. (2023, August 15). How to Write a Thesis Statement | 4 Steps & Examples. Scribbr. Retrieved April 11, 2024, from https://www.scribbr.com/academic-essay/thesis-statement/

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Shona McCombes

Other students also liked, how to write an essay introduction | 4 steps & examples, how to write topic sentences | 4 steps, examples & purpose, academic paragraph structure | step-by-step guide & examples, what is your plagiarism score.

More than the degree

Blogposts by aalto squad members. students experiences at aalto university and in finland. student life and study life..

Where to look for a thesis position?

1. Research group

You can write your thesis and conduct the research in one of the research groups at the university. The Functional Materials major has its own My Courses page that lists open positions. So do some other programs. Students can pick one of the topics and contact the professor. These are usually unpaid unless there is suitable funding in the research group. However, you can apply for funding. If you study at Aalto CHEM, you could send an application to, for example, TES or Fortum and Neste Foundation . You can also suggest your own idea to the professor. If you already work in a research group, it is much easier to just continue working there, but for joining a research group you might have to send an official e-mail with a request and attach your CV. In some programs like Design, this option is not popular.

2. Aalto Thesis

Aalto Thesis lists projects open for applications. The topics of the theses are proposed by companies and usually, the given challenge is solved in a team of 2-4 students from different backgrounds. This year, Valmet, a company working in the pulp, paper, and energy industries field, offered two topics. One of the projects is still looking for applicants!

Many companies in Finland and abroad offer paid thesis positions. However, you have to keep in mind the intellectual property rights as you might not be allowed to publish all results from your experiments. This can complicate your graduation and the final grade of your work might be lower than it would be in other cases. You can also combine such a thesis position with work at the university in one of the research groups. It is also possible to conduct summer research in some companies and submit the thesis after 3 months only. One big advantage is that there is a possibility that you would be offered by the company a permanent job after graduation. To find a thesis position in a company in Finland, you can take a look at Aalto Job Teaser.

4. Another university

It is possible to contact a research group from another university. Aalto offers some financial support for students to cover transportation costs and some of the living expenses. The scholarship amounts usually to 1 500 Euros. You can also do your thesis within the Erasmus+ exchange or internship program.

Good luck with your thesis!

Katarzyna Wojdalska Functional Materials Aalto study options Contact email: aaltosquad(at)aalto.fi

One thought on “ Where to look for a thesis position? ”

Dear sir i have done masters level diploma in business from Finland after graduation in India. Now i want to do masters level thesis from your university . Is it possible ?thanks.

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Innovation is in our blood. What about you? Work with visionary colleagues and mentors on your diploma, bachelor's or master's thesis.

Make the most of your thesis. Work on it at Mercedes-Benz. We'll suggest a subject. And you'll work on a live project with one of our development, manufacturing, or commercial business areas.

We can offer know-how, expertise, valuable experience and the chance to broaden your knowledge and your interpersonal skills. We'll provide tailored support while your write your thesis and help you both on a professional and personal level.

We'll value your ideas, enthusiasm, and academic curiosity, because your work will be making an important contribution, not just to your growth but to ours. And because a good degree is a good start, we may be working together after your thesis as well.

You can apply at any time. Applications are made online. Positions and subject areas are normally advertised on the Mercedes-Benz careers website two to six months before the start of the thesis placement.

You should have above-average grades and ideally be studying an engineering, science, IT, or business-related subject and have already completed specialist placements. Placements vary in duration depending on the complexity of the subject and the conditions set by your examinations office.

Note concerning thesis placements in Germany:

Non-EU applicants require a residency permit for Germany and, if applicable, a work permit.

Applicants who are citizens of the new EU member states require a freedom of movement permit and, if applicable, a work permit.

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Master's Thesis

The master's thesis is a major research project that is conducted under the supervision of a member of the department. The completed thesis must be presented and successfully defended in an oral examination administered by a formal thesis committee. Thesis credit is awarded when a final draft is approved by the thesis committee. It is important to note that a master's thesis must contain original work and cannot be submitted as a paper in other courses.

Learn more about the master's thesis

2022-2023 Master's Theses

Yunru Bai: "The Impact of Urbanization on Health Outcomes using Evidence from China" Advisor: Jeff Zabel

Sudarshan Bashyal: "Birth Year Environment and Adult Life Outcomes for Females: Evidence from Nepal" Advisor: Adam Storeygard

Yunning (Kevin) Cao: "Agricultural Adaptations and Depletion of the Ogallala Aquifer" Advisor: Ujjayant Chakravorty

Mingsong Chen: "Heterogeneous Impact of Temperature Shocks: Are Urban Areas More Resilient?“ Advisor: Ujjayant Chakravorty

John Luigi Dela Pena*: "Impact of Logging Bans in Deforestation: Evidence from the Vietnam-Laos Boarder“ Advisor: Ujjayant Chakravorty

Fatimah Faisal: "The Impact of a Cash Windfall on Women's Empowerment in India" Advisor: Cynthia Kinnan

Ruodong He: "The 2018 Trade Ware and U.S. Local Labor Markets" Advisor: Federico Esposito

Nan Jiang: “Local Fiscal Multipliers in China" Advisor: ChaeWon Baek

Tiantian Ji: "Heterogeneous Effects of Stay-at-Home (SAH) Orders on Labor Market Outcomes over Different Age Groups" Advisor: ChaeWon Baek

Sanjana Kadyan: "Environmental Policy Uncertainty and Investment Behavior in Sustainable Financial Markets" Advisor: Alan Finkelstein Shapiro

Ibrahim Kilic: "The Effects of Strategic Alliances on Airline On-Time Performance: Evidence from U.S. Domestic Travel" Advisor: Silke Forbes

Taoran Liu: "Political Connection and Regional Development in China" Advisor: Enrico Spolaore

Jiayin Liu: "Role of Public Preference Polarization in Determining Government Delay" Advisor: Enrico Spolaore

Qi Peng: "The Relationship Between Financial Literacy and Households' Savings Rate" Advisor: Marcelo Bianconi

Kwok Wai So: "News Media Consumption and Political Ideology" Advisor: Enrico Spolaore

Shengbin Wei*: "Essays in Political Interactions" Advisor: Yannis Ioannides and Enrico Spolaore

Li (Dereck) Yang: "The Asset-Pricing Implications of Policy Uncertainty" Advisor: Federico Esposito

Yifan Yang: "Does the Chinese Carbon Trading Policy Achieve It's Goals?" Advisor: Ujjayant Chakravorty

Zhizhen Zhao: "The Impact of Mixed Ownership Reform on the Wage Cap in State-Owned Enterprises" Advisor: Silke Forbes

Ziqi Zhou: "The Effect of Household Registration (Hukou) System on Mobility Choices and Housing Demand in China" Advisor: Yannis Ioannides

Jie Zhou*: "Withhold Release Orders, Firm Behavior Regarding Compliance on Forced Labor and Business Outcomes in the Malaysian Palm Oil Industry" Advisor: Drusilla Brown

Yanlin (Sebastian) Zhu: "The Association of Emotions and Public Goods Contribution" Advisor: Laura Gee

* Linda Datcher Loury Award Recipient

FINAL THESIS.

You learn from us – we learn from you. The BMW Group offers you professional support in writing your Bachelor's or Master's thesis with practical relevance. In all areas of the BMW Group, you can show how you would like to shape the future in a sustainable way.

BACHELOR'S AND MASTER'S THESES.

Are you an enrolled student at a university and would like to write your thesis with a high level of practical relevance and delve deeply into a specific field of research? Start as a Bachelor or Master student. General conditions.

• The paid contract period for your final thesis depends on the processing time specified in the examination regulations of your university and the corresponding degree programme (Bachelor's or Master's).
• You do not have any prescribed working hours during the contract period. Your work serves the purpose of writing your thesis. Therefore, you can plan your working hours individually in consultation with your department.
• After completion, you are required to provide the BMW Group with a copy of your thesis.

DISCOVER OUR POSITIONS FOR FINAL THESIS PROJECTS.

What awaits you as a bachelor's or master's student..

ONLINE WELCOME DAY.

At the beginning of your assignment, you will be welcomed by an online welcome event. Here you will receive all important information and content about your assignment as well as exciting and current insights into future topics of the company. 

STUDENT INITIATIVE NAWI.

NAWI is a student-founded initiative of the BMW Group. NAWI offers exchange and networking opportunities and organises exciting events at our various German locations. This way, you can network right from the start.

OWN PROJECTS.

We place special emphasis on your professional and personal development. Therefore, you have the opportunity to take responsibility for your own exciting projects during your assignment. 

During your thesis at the BMW Group, you will be assigned a permanent supervisor. This person will help you with all your questions right from the start, give you regular feedback and support you in a strength-oriented manner.

LECTURE SERIES.

In order to know early on how you can continue with us after your thesis, we regularly offer presentations on our entry-level programmes. Current participants in our different talent programmes will inform you about the programmes and answer your questions.

REGULAR FEEDBACK.

It is very important for us to receive regular feedback from you, as this is the only way we can improve and offer optimal opportunities. You will also receive feedback from your supervisor to support your professional and personal development.

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• Chair of Integrated Systems
• TUM School of Computation, Information and Technology
• Technical University of Munich

Master Theses

Available topics.

Interested in an internship or a thesis?   Often, new topics are in preparation for being advertised, which are not yet listed here. Sometimes there is also the possibility to define a topic matching your specific interests. Therefore, do not hesitate to contact our scientific staff, if you are interested in contributing to our work. If you have further questions concerning a thesis at the institute please contact  Dr. Thomas Wild .

MA : Hardware-Aware Layer Fusion of Deep Neural Networks

• Open thesis as PDF.

Hardware-Aware Layer Fusion of Deep Neural Networks

Description.

Dataflow and mapping of Convolutional Neural Networks (CNN) influences their compute and energy efficiency on edge accelerators. Layer fusion is a concept which enables the processing of multiple CNN layers without resorting to costly off-chip memory accesses. In order to optimally implement layer fusion, different combinations of mapping and scheduling parameters need to be explored. We, at the BMW group, offer you a challenging master thesis position that aims to optimize the fusion strategy of a given CNN workload for maximal data reuse and resource utilization.

Prerequisites

• Strong knowledge in computer vision concepts, and convolutional neural networks.
• Hands-on experience with Xilinx FPGAs, Verilog/VHDL/HLS.
• Excellent programming skills in  C, Python. Experience in Tensorflow 2, Git, Docker is a plus.
• Highly motivated and eager to collaborate in a team.
• Ability to speak and write in English fluently.

[email protected]

Supervisor:

Assigned topics, ma : hardware-accelerated linux kernel tracing, hardware-accelerated linux kernel tracing.

Tracing events with hardware components is one powerful tool to monitor, debug, and improve existing designs. Through this approach, detailed insights can be acquired, and peak performance can be achieved, while being a challenging task to be integrated with good performance. One of the major challenges of tracing is to collect as much information as possible with ideally no impact on the to-be-analyzed system. Herewith, it can be ensured that the gained insights are representative of an execution without any tracing enabled. In this work, a hardware tracing component should be leveraged to reduce the intrusiveness of existing software tracing mechanisms in the Linux kernel. 

This should be integrated and tested on a hardware platform based on a Xilinx Zynq board. This features a heterogeneous ARM multicore setup directly integrated into the ASIC, combined with programmable logic in the FPGA part of the chip. In the FPGA a hardware accelerator is already implemented that should be traced with the new component.

To successfully complete this work, you should have:

• experience with microcontroller programming,
• basic knowledge about Git,
• first experience with the Linux environment.

The student is expected to be highly motivated and independent.

MA : Multicore-Optimierung eines bildverarbeitenden Systems

Multicore-optimierung eines bildverarbeitenden systems.

Im industriellen Umfeld werden Informationen zunehmend in visuellen Codes (z.B. Strichcodes, QR-Codes) zur automatisierten Verarbeitung abgelegt. Steigende Durchsatzzahlen stellen immer höhere Anforderungen an die Geschwindigkeit der Datenverarbeitung. In dieser Arbeit soll anhand eines kostengünstigen kommerziell erhältlichen Multicore- Systems untersucht werden, inwieweit bisher durch Hardware realisierte Verarbeitungsgeschwindigkeiten durch Parallelisierung der Auswertungsschritte in CPU-Systemen erreicht, werden können. Insbesondere soll untersucht werden, ob spezialisierte Co-Prozessoren (z. B. Vector Processing Units (VPUs)) zur Beschleunigung beitragen können oder wie diese auf die Aufgabe hin optimiert gestaltet werden können (Application-Specific Instructionset Processor (ASIP)).

MA : A Deep Dive into C-States, Idle Governors and the Prospects of an eBPF Idle Governor

A deep dive into c-states, idle governors and the prospects of an ebpf idle governor.

Linux is one of the most utilized Operating Systems in Embedded Systems and Cloud Infrastructure worldwide. Sustainability will become more relevant in the future and saving power is a crucial aspect. This shows the increasing importance of efficient Linux Power Management.

The Power Management in Linux is implemented in several kernel subsystems correlating to hardware characteristics, like P-States (Frequency Scaling) and C-States (Sleep States). This thesis examines the Idle Power Management of Linux, and therefore focuses on C-States. C-States are per Core states and allow parts of the core to shut down individual features. Each processor implements C-States in different ways. Increasing C-State number, e.g. C6, translate to a deeper sleep with lower energy consumption and higher power-on reaction time.

The recently released eBPF functionality makes the kernel more programmable, bypassing the original monolithic characteristics. This mechanism can be divided into four components: the eBPF hooks in the kernel, the interfaces, the in-kernel eBPF infrastructure to execute eBPF bytecode and compile into native code and verify the code and finally the eBPF application itself, which can be written in a C like dialect and compiled into eBPF bytecode by LLVM and GCC.

This thesis aims to analyze and compare the idle governors in the current Kernel in specific situations. It also should provide insight in the C-State usage depending on the architecture. The data is acquired using specific Tracepoints within the Kernel, which can be recorded and parsed with the Kernel Tool perf. Furthermore, we explore the feasibility of a custom eBPF powered idle governor.

MA : Design and Implementation of a Memory Prefetching Mechanism on an FPGA Prototype

Design and implementation of a memory prefetching mechanism on an fpga prototype.

Their main advantages are an easy design with only 1 Transistor per Bit and a high memory density make DRAM omnipresend in most computer architectures. However, DRAM accesses are rather slow and require a dedicated DRAM controller that coordinates the read and write accesses to the DRAM as well as the refresh cycles. In order to reduce the DRAM access latency, memory prefetching is a common technique to access data prior to their actual usage. However, this requires sophisticated prediction algorithms in order to prefetch the right data at the right time. The Goal of this thesis is to design and implement a DAM preloading mechanism in an existing FPGA based prototype platform and to evaluate the design appropriately. Towards this goal, you'll complete the following tasks: 1. Understanding the existing Memory Access mechanism 2. VHDL implementation of the preloading functionalities 3. Write and execute small baremetal test programs 4. Analyse and discuss the performance results

• Good Knowledge about MPSoCs
• Good VHDL skills
• Good C programming skills
• High motivation
• Self-responsible workstyle

Oliver Lenke

[email protected]

MA : SmartNIC Enhancements for Network Node Resilience

Smartnic enhancements for network node resilience.

The Chair of Integrated Systems participates in the DFG Priority Program “Resilient Connected Worlds” by the German Research Foundation (SPP 2378). Our goal is to investigate which resilience functions, that conventionally are provisioned by the central compute resources of Internet Networking or Compute Nodes, can meaningfully be migrated onto the Network Interface Card (NIC). By inspecting packet streams at full line rate (10 – 40 Gbps) a set of resilience functions, such as access shields against a known set of traffic flows or redundant flow processing for a selected and configured number of flows, shall be offloaded from centralized compute resources and offered in a more performant and energy-efficient manner. Flows are identified by their so-called 5-tuple consisting of source-/destination IP addresses and transport protocol ports as well as the protocol field of the IP packet header. During the Bachelor/Master Thesis, you will develop VHDL code for realizing one or more of the SmartNIC Resilience building blocks: 5 tuple address matching against a preconfigured set of addresses, perform the packet duplication for delivery to different processor cores or threads, investigate methods to flexibly perform the address match on the entire or a variable subsection of the 5 tuple array.

• VHDL coding, synthesis and FPGA prototyping
• Braodband communication or Internet Networking Technologies, in particular OSI Layer packet header formats
• Digital circuit design

Marco Liess Room N2139 Tel. 089 289 23873 [email protected]

MA : Parsimonious Semantic Segmentation Training Using Active Learning and Synthetic Data

Parsimonious semantic segmentation training using active learning and synthetic data.

The goal of this thesis is to implement an augmentation pipeline for both runtime accuracy improvement and training time generalization. At training time the augmented examples add diversity to the dataset, while at runtime the augmentation injects more information in addition to the RGB color channels, to help the CNN detect semantic segmentation features. The thesis will also explore different loss formulas and loss learning to make training semantic segmentation easier with fewer labeled examples. Finally, the CNN will be pruned and quantized for faster execution, while the rest of the processing (pre, post) pipeline will be accelerated on GPU.

To successfully complete this project, you should have the following skills and experiences:

• Good programming skills in Python and Tensorflow
• Good knowledge of neural network training theory
• Experience with convolutional neural networks for semantic segementation

The student is expected to be highly motivated.

Nael Fasfous Department of Electrical and Computer Engineering Chair of Integrated Systems

Phone: +49.89.289.23858 Building: N1 (Theresienstr. 90) Room: N2116 Email: [email protected]

MA : Neural Style Transfer for Synthetic Data

Neural style transfer for synthetic data.

Neural networks have become the state-of-the-art in solving a variety of computer-vision problems, often outperforming classical image processing algorithms by a large margin. These applications range from autonomous vehicles to complex control of robots. However, training neural networks presents some difficulties. First and foremost is the cost of human effort to label and collect suitable training data (number and critical situations) in production environments for training purposes. Synthetic training data is one potential solution to this challenge.

In the context of this work, a neural network for the control of an automated production line should be trained using synthetic data. For this purpose the following milestones planned:

• Developement of a 3D-model for the generation of training data.
• Automatic synthesis of images and ground truth data to train the image processing algorithm.
• Adaptation of the synthetic training data to the real world (style transfer)
• Outperforming neural networks classically trained on limited amount of real data

Alexander Frickenstein Email: [email protected]

MA : Anomaly Detection and Active Learning for Semantic Segmentation Tasks

Anomaly detection and active learning for semantic segmentation tasks.

Clean, labeled datasets are an invaluable asset to research and industry for training and deploying machine learning algorithms such as convolutional neural networks (CNN). Procuring such datasets involves data collection, sorting and labeling, all of which are typically done by humans. This expensive process is time consuming, costly and does not scale well, even when outsourced. The field of anomaly detection and active learning aims to tackle these challenges. In active learning, a CNN can be trained on a small set of labeled data. Once deployed in a real-world scenario, an uncertainty or loss predictor can be implemented alongside the algorithm to predict which data would result in high loss for the model. These non-trivial examples can be collected actively during deployment and forwarded to humans or more complex algorithms to observe, label and retrain the deployed CNN on. In anomaly detection, a network can predict which samples represent outliers or interesting anomalies with respect to the rest of the dataset. This further helps humans clean and sort such examples accordingly.

The goal of this thesis is to implement an anomaly detector and an uncertainity head to a CNN-based semantic segmentation application. The implementation will be tested on a real-world industrial AI application.

MA : Learning to Prune and Quantize Transformers

Learning to prune and quantize transformers.

Advances in the deep learning architectures for computer vision applications have lead to new neural architectures such as vision transformers. These differentiate themselves from typical convolutional neural network-based implementations by decoupling the process of feature aggregation and transformation. Excellent performance is achieved through self-attention and self-supervision.

In this master thesis, visual transformers will be implemented in the first step. Following verification of state-of-the-art results, the transformers will be compressed through quantization and pruning to minimize their computational complexity on the inference hardware.

• Good knowledge of neural networks, basic knowledge of transformers

MA : Sparse Lookup Tables with dynamic precision adaptation for image processing on FPGA

Sparse lookup tables with dynamic precision adaptation for image processing on fpga.

In image processing, non-linear transfer functions, such as sigmoid- or logarithm-shaped functions, are being used for mapping the input into different domains. For dedicated FPGA implementation of general image processing pipelines, these transfer functions are usually implemented by LUTs (Lookup Tables). Although the LUT-based method is more concise than some approximate direct implementation, it consumes a lot of resources. To save FPGA resources, sparse LUTs can be used, but it is to be noticed that the matching accuracy is then approximated to a certain acceptable range.

To further reduce the resource consumption, while maintaining or even improving the output accuracy, we propose a dynamic loading mechanism. In order to make full use of the resources on the chip, instead of placing one sparse LUT on chip, two function-wise complemented memory blocks shall be implemented in the data path of the processing pipeline. One of the memory blocks shall be filled only with the data points that fit the local range of current input data stream. Another one works as a general ultra-sparse LUT to map the input data into the inaccurate global range. In summary, a permanent memory block of very sparse/inaccurate data points should be kept on FPGA, which is then complemented by a memory block of accurate data points which are dynamically swapped in and out from an off-chip memory (DRAM). Based on this proposal, we need to investigate a dynamic loading mechanism for that accurate memory block, such that the input will fall into the local range with rational high probability.

In this work, a prototype of a sparse LUT with a dynamic precision adaptation mechanism should be developed on FPGA. In this thesis, several questions should be answered:

• How does the architecture of the implementation look like?

• What memory configuration should be used?

• How to determine when to load new data for the accurate memory block?

• What is the trade-off between accuracy and resource consumption?

MA : Runtime Reconfigurable Winograd-based FPGA Accelerator for CNN Inference

Runtime reconfigurable winograd-based fpga accelerator for cnn inference.

Convolutional neural networks have proven their success in extracting features from images and producing predictions for different tasks such as classification, segmentation and object detection. However, the superior performance of modern deep neural networks can be mostly backtracked to high model complexity and extensive hardware requirements. In this research internship, the complexity of convolution is reduced by quantization and Winograd minimal filtering algorithms. The prediction quality is regulated using dynamic reconfigurable Winograd acceleration. 

• Good programming skills in C/C++
• Good knowledge of neural networks, particularly convolutional neural networks
• VHDL/Verilog or OpenCL would be encouraged. 

The student is expected to be highly motivated and independent. By completing this project, you will be able to:

• Understand the impact of quantization, Winograd convolution and task specific accuracy. 
• Implementation of run-time reconfigurable Winograd Convolution on FPGA using OpenCL. 
• Evaluate trade-offs between flexibility, prediction accuracy and resource consumption

Manoj Vemparala Autonomous Driving BMW AG

Email:   [email protected] 

Nael Fasfous

Department of Electrical and Computer Engineering Chair of Integrated Systems

Phone:  +49.89.289.23858 Building:  N1 (Theresienstr. 90) Room:   N2116 Email:   [email protected]

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